From e8d6eb71af2da6fcb92784b4b2c2901b204272f0 Mon Sep 17 00:00:00 2001
From: Yuki Imajuku <yuki.imjk@gmail.com>
Date: Wed, 28 May 2025 08:08:30 +0000
Subject: [PATCH 1/5] add MCP server

---
 README.md          |   37 +-
 cloud/setup.sh     |    2 +-
 cloud/setup_mcp.sh |   69 +++
 mcp/pyproject.toml |  100 ++++
 mcp/server.py      |  507 ++++++++++++++++++++
 mcp/uv.lock        | 1133 ++++++++++++++++++++++++++++++++++++++++++++
 6 files changed, 1842 insertions(+), 6 deletions(-)
 create mode 100644 cloud/setup_mcp.sh
 create mode 100644 mcp/pyproject.toml
 create mode 100644 mcp/server.py
 create mode 100644 mcp/uv.lock

diff --git a/README.md b/README.md
index 268790a..7a39c3a 100644
--- a/README.md
+++ b/README.md
@@ -485,17 +485,44 @@ Set `num_workers` to at most the number of **physical cores** of your instance,
     # Confirm with 'yes' or use -auto-approve
     ```
 
+# MCP (Model Context Protocol) Server
+The MCP server is a lightweight HTTP server that provides a simple interface for interacting with the ALE-Bench toolkit. It allows you to run evaluations and manage sessions without needing to write Python code directly.
+
+## Setup
+1. Install Node.js and npm
+    ```sh
+    # Install nvm (Node Version Manager) for easy Node.js management
+    curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash
+    export NVM_DIR="$HOME/.nvm"
+    [ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh"  # This loads nvm
+    [ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion"  # This loads nvm bash_completion
+    # Install the latest LTS version of Node.js
+    nvm install --lts
+    # Install the Model Context Protocol Inspector globally (may not be necessary global installation)
+    npm install -g @modelcontextprotocol/inspector
+    ```
+2. Install the MCP server dependencies using pip or uv:
+```sh
+cd mcp
+uv sync
+```
+
+## Running the MCP Server
+```sh
+uv run mcp dev server.py --with-editable .
+```
+
 ## Development
 
 -   **Environment Setup:**
     ```sh
     git clone https://github.com/SakanaAI/ALE-Bench.git
     cd ALE-Bench
-    pip install ".[dev]"
+    pip install ".[dev,mcp]"
 
     # Using uv
     uv venv --python 3.12.9
-    uv sync --extra dev
+    uv sync --extra dev --extra mcp
     source .venv/bin/activate
     ```
 
@@ -516,13 +543,13 @@ Set `num_workers` to at most the number of **physical cores** of your instance,
 -   **Python Library Development:**
     ```sh
     # Linting
-    ruff check src tests
+    ruff check src mcp tests
 
     # Formatting
-    ruff format src tests
+    ruff format src mcp tests
 
     # Static Type Checking
-    mypy src tests
+    mypy src mcp tests
 
     # Running Tests
     pytest
diff --git a/cloud/setup.sh b/cloud/setup.sh
index c2999c7..8e5feba 100644
--- a/cloud/setup.sh
+++ b/cloud/setup.sh
@@ -48,7 +48,7 @@ su - ubuntu -c "cd /home/ubuntu/ && rm awscliv2.zip && rm -rf aws"
 
 
 # Install uv
-su - ubuntu -c "curl -fsSL https://astral.sh/uv/0.6.6/install.sh | sh"
+su - ubuntu -c "curl -fsSL https://astral.sh/uv/install.sh | sh"
 su - ubuntu -c "source /home/ubuntu/.local/bin/env"
 
 
diff --git a/cloud/setup_mcp.sh b/cloud/setup_mcp.sh
new file mode 100644
index 0000000..d4441a4
--- /dev/null
+++ b/cloud/setup_mcp.sh
@@ -0,0 +1,69 @@
+#!/usr/bin/bash
+set -Eeuo pipefail
+
+# Install docker (https://docs.docker.com/engine/install/ubuntu/)
+## Add Docker's official GPG key:
+sudo apt-get -qq update
+sudo apt-get -qq install -y ca-certificates curl wget
+sudo install -m 0755 -d /etc/apt/keyrings
+sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc
+sudo chmod a+r /etc/apt/keyrings/docker.asc
+
+## Add the repository to Apt sources:
+echo \
+  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \
+  $(. /etc/os-release && echo "${UBUNTU_CODENAME:-$VERSION_CODENAME}") stable" | \
+  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
+sudo apt-get -qq update
+
+## Install the Docker packages.
+sudo apt-get -qq install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
+
+## Docker with non-root user
+# sudo groupadd docker  # Already created
+sudo usermod -aG docker ubuntu
+su - ubuntu -c "newgrp docker"
+
+
+# Install Google Chrome
+wget -q -O /tmp/google-chrome-stable_current_amd64.deb https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
+sudo apt-get -qq update
+sudo apt-get -qq install -y /tmp/google-chrome-stable_current_amd64.deb
+rm /tmp/google-chrome-stable_current_amd64.deb
+
+
+# Install another dependencies (including the dependencies for the experiments)
+sudo apt-get -qq update
+sudo apt-get -qq install -y build-essential make unzip libcairo2-dev libffi-dev
+sudo apt-get -qq autoremove --purge -y
+sudo apt-get -qq clean
+rm -rf /var/lib/apt/lists/*
+
+
+# Install AWS CLI version 2 (https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html)
+su - ubuntu -c "cd /home/ubuntu/ && curl -fsSL https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip -o awscliv2.zip"
+su - ubuntu -c "cd /home/ubuntu/ && unzip -qq awscliv2.zip"
+su - ubuntu -c "cd /home/ubuntu/ && sudo ./aws/install"
+su - ubuntu -c "cd /home/ubuntu/ && rm awscliv2.zip && rm -rf aws"
+
+
+# Install uv
+su - ubuntu -c "curl -fsSL https://astral.sh/uv/install.sh | sh"
+su - ubuntu -c "source /home/ubuntu/.local/bin/env"
+
+
+# Install Node Version Manager (NVM) and Node.js
+su - ubuntu -c "curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash"
+su - ubuntu -c "export NVM_DIR=\"\${HOME}/.nvm\" && [ -s \"\${NVM_DIR}/nvm.sh\" ] && \\. \"\${NVM_DIR}/nvm.sh\""
+su - ubuntu -c "nvm install --lts"
+su - ubuntu -c "npm install -g @modelcontextprotocol/inspector"
+
+
+# Clone the ALE-Bench repository and setup the environment
+su - ubuntu -c "cd /home/ubuntu/ && git clone https://github.com/SakanaAI/ALE-Bench.git"
+su - ubuntu -c "cd /home/ubuntu/ALE-Bench && uv -q venv --python 3.12.9 && uv -q sync --extra mcp"
+su - ubuntu -c "cd /home/ubuntu/ALE-Bench && bash ./scripts/docker_build_all.sh \$(id -u) \$(id -g)"
+
+
+# Finish
+echo "$(printf '\033')[1;4;5;32mALE-Bench setup completed! $(printf '\033')[0m"
diff --git a/mcp/pyproject.toml b/mcp/pyproject.toml
new file mode 100644
index 0000000..a3f656b
--- /dev/null
+++ b/mcp/pyproject.toml
@@ -0,0 +1,100 @@
+[project]
+name = "ale_bench_mcp_server"
+version = "1.0.0"
+description = "The MCP server for the ALE-Bench"
+authors = [
+    { name = "Yuki-Imajuku", email = "yuki.imjk@gmail.com" }
+]
+readme = "README.md"
+requires-python = ">=3.10,<3.14"
+license = { file = "LICENSE" }
+keywords = ["benchmark", "algorithmic programming", "atcoder", "AHC", "AI evaluation", "heuristic", "optimization", "estimation", "MCP", "server"]
+classifiers = [
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Development Status :: 5 - Production/Stable",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Science/Research",
+    "License :: OSI Approved :: Apache Software License",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+]
+dependencies = [
+    "ahocorapy",
+    "ale-bench",
+    "cairosvg",
+    "docker",
+    "huggingface_hub",
+    "mcp[cli]",
+    "pillow",
+    "polars>=1",
+    "pydantic>=2",
+]
+
+[project.urls]
+Repository = "https://github.com/SakanaAI/ALE-Bench"
+
+[project.optional-dependencies]
+dev = [
+    "mypy==1.15.0",
+    "pytest==8.3.4",
+    "pytest-mock==3.14.0",
+    "ruff==0.9.7",
+    "types-requests==2.32.0.20250301",
+]
+
+[tool.uv.sources]
+ale-bench = { git = "https://github.com/SakanaAI/ALE-Bench.git", tag = "v1.0.0" }
+
+[tool.mypy]
+warn_return_any = true
+warn_unused_configs = true
+disallow_untyped_defs = true
+disallow_incomplete_defs = true
+check_untyped_defs = true
+disallow_untyped_decorators = true
+no_implicit_optional = true
+warn_redundant_casts = true
+warn_unused_ignores = true
+warn_no_return = true
+warn_unreachable = true
+ignore_missing_imports = true
+
+[tool.pytest.ini_options]
+markers = [
+    "slow: marks tests as slow (deselect with '-m \"not slow\"')",
+    "docker: marks tests as docker (deselect with '-m \"not docker\"')",
+]
+
+[tool.ruff]
+fix = true
+target-version = "py312"
+line-length = 120
+
+[tool.ruff.format]
+quote-style = "double"
+
+[tool.ruff.lint]
+select = [
+    "C9",
+    "E",
+    "F",
+    "W",
+    "I",
+]
+ignore = ["C901"]
+
+[tool.ruff.lint.isort]
+case-sensitive = true
+combine-as-imports = true
+default-section = "first-party"
+known-first-party = ["ale_bench"]
+section-order = [
+    "future",
+    "standard-library",
+    "third-party",
+    "first-party",
+    "local-folder"
+]
+split-on-trailing-comma = true
diff --git a/mcp/server.py b/mcp/server.py
new file mode 100644
index 0000000..cf8f655
--- /dev/null
+++ b/mcp/server.py
@@ -0,0 +1,507 @@
+import io
+import os
+from collections.abc import AsyncIterator
+from contextlib import asynccontextmanager
+from dataclasses import dataclass
+
+import ale_bench
+from ale_bench.code_language import CodeLanguage, JudgeVersion
+from ale_bench.data import Problem
+from ale_bench.result import Result as ALEBenchResult
+from ale_bench.session import Session as ALEBenchSession
+from mcp.server.fastmcp import Context, FastMCP, Image
+
+# Constants
+MAX_SESSIONS = int(os.environ.get("ALE_BENCH_MCP_MAX_SESSIONS", "4"))
+NUM_WORKERS = int(os.environ.get("ALE_BENCH_MCP_NUM_WORKERS", "13"))
+LITE_VERSION = bool(int(os.environ.get("ALE_BENCH_MCP_LITE_VERSION", "0")))
+
+
+@dataclass
+class AppContext:
+    """
+    Application context for the MCP server.
+    """
+
+    ale_bench_sessions: dict[str, ALEBenchSession]
+
+
+def get_current_sessions(ctx: Context) -> dict[str, ALEBenchSession]:
+    """
+    Retrieves the current ALE-Bench sessions from the context.
+    """
+    return ctx.request_context.lifespan_context.ale_bench_sessions  # type: ignore
+
+
+@asynccontextmanager
+async def app_lifespan(server: FastMCP) -> AsyncIterator[AppContext]:
+    """
+    Application lifespan context manager.
+    Initializes the ALE-Bench sessions and provides them to the application context.
+    """
+    ale_bench_sessions: dict[str, ALEBenchSession] = {}
+    try:
+        yield AppContext(ale_bench_sessions=ale_bench_sessions)
+    finally:  # FIXME: Not invoked when the server is restarted
+        for session in ale_bench_sessions.values():
+            await session.close()
+
+
+mcp = FastMCP("ALE-Bench MCP Server", dependencies=["ale_bench"], lifespan=app_lifespan)
+
+
+@mcp.resource("check://app")
+async def check_app() -> str:
+    """
+    Health check endpoint for the application.
+    Returns a simple message indicating the server is running.
+
+    Returns:
+        str: A message indicating the server is running.
+    """
+    return f"Server `{mcp.name}` is running."
+
+
+@mcp.resource("list://problem_ids")
+async def list_problem_ids() -> list[str]:
+    """
+    Lists all available problem IDs in the ALE-Bench.
+    Returns a list of problem IDs.
+
+    Returns:
+        list[str]: A list of problem IDs available in ALE-Bench.
+    """
+    return ale_bench.list_problem_ids(lite_version=LITE_VERSION)
+
+
+@mcp.resource("list://current_sessions")
+async def list_current_sessions() -> list[tuple[str, bool]]:
+    """
+    Lists all currently active ALE-Bench sessions.
+    Returns a list of (session IDs, lite version) tuples.
+
+    Returns:
+        list[tuple[str, bool]]: A list of tuples containing session IDs and whether they are lite versions.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    return sorted(list(current_sessions.keys()))
+
+
+@mcp.resource("get://{problem_id}/problem")
+async def get_problem(problem_id: str) -> Problem:
+    """
+    Retrieves the problem for the given problem ID from ALE-Bench.
+    This can only be called after starting a session for the problem ID.
+
+    Args:
+        problem_id (str): The ID of the problem to retrieve.
+
+    Returns:
+        Problem: The problem.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.problem
+
+
+@mcp.resource("get://{problem_id}/public_seeds")
+async def get_public_seeds(problem_id: str) -> list[int]:
+    """
+    Retrieves the public seeds for the given problem ID.
+    This can only be called after starting a session for the problem ID.
+
+    Args:
+        problem_id (str): The ID of the problem to retrieve public seeds for.
+
+    Returns:
+        list[int]: A list of public seeds for the problem.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.public_seeds
+
+
+@mcp.resource("get://{problem_id}/rust_tool_source")
+async def get_rust_tool_source(problem_id: str) -> dict[str, str]:
+    """
+    Retrieves the Rust tool source code for the given problem ID.
+    This can only be called after starting a session for the problem ID.
+
+    Args:
+        problem_id (str): The ID of the problem to retrieve the Rust tool source for.
+
+    Returns:
+        dict[str, str]: A dictionary containing the Rust tool source code.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    rust_src_dir = ale_bench_session.rust_src_dir
+    rust_tool_sources = {}
+    if (rust_src_dir / "lib.rs").is_file():
+        with open(rust_src_dir / "lib.rs", "r") as f:
+            rust_tool_sources["lib.rs"] = f.read()
+    if (rust_src_dir / "bin" / "gen.rs").is_file():
+        with open(rust_src_dir / "bin" / "gen.rs", "r") as f:
+            rust_tool_sources["bin/gen.rs"] = f.read()
+    if (rust_src_dir / "bin" / "vis.rs").is_file():
+        with open(rust_src_dir / "bin" / "vis.rs", "r") as f:
+            rust_tool_sources["bin/vis.rs"] = f.read()
+    return rust_tool_sources
+
+
+@mcp.resource("get://{problem_id}/remaining_time")
+async def get_remaining_time(problem_id: str) -> float:
+    """
+    Retrieves the remaining time for the given problem ID.
+    This can only be called after starting a session for the problem ID.
+
+    Args:
+        problem_id (str): The ID of the problem to retrieve remaining time for.
+
+    Returns:
+        float: The remaining time in seconds.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.session_remaining_time.total_seconds()
+
+
+@mcp.resource("get://{problem_id}/visualization_server_port")
+async def get_visualization_server_port(problem_id: str) -> int:
+    """
+    Retrieves the port number for the visualization server of the given problem ID.
+    This can only be called after starting a session for the problem ID.
+
+    Args:
+        problem_id (str): The ID of the problem to retrieve the visualization server port for.
+
+    Returns:
+        int: The port number of the visualization server.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    assert ale_bench_session.visualization_server_port is not None, (
+        "Something went wrong: Visualization server port is not set."
+    )
+    return ale_bench_session.visualization_server_port
+
+
+@mcp.tool()
+async def start_session(problem_id: str) -> str:
+    """
+    Starts a new ALE-Bench session for the given problem ID.
+    Returns the session object.
+
+    Args:
+        problem_id (str): The problem ID of the problem to start a session for.
+
+    Returns:
+        str: Confirmation message indicating the session has been started.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id in current_sessions:
+        raise ValueError(f"Session for problem ID `{problem_id}` already exists.")
+    if len(current_sessions) >= MAX_SESSIONS:
+        raise ValueError(
+            "Maximum number of sessions reached. Please close an existing session before starting a new one."
+        )
+    ale_bench_session = ale_bench.start(
+        problem_id=problem_id,
+        lite_version=LITE_VERSION,
+        num_workers=NUM_WORKERS,
+        run_visualization_server=True,
+    )
+    current_sessions[problem_id] = ale_bench_session
+    return f"Session started for problem ID `{problem_id}`."
+
+
+@mcp.tool()
+async def case_gen(problem_id: str, seed: list[int] | int = 0, gen_kwargs: dict = {}) -> list[str] | str:
+    """
+    Generates a case using the given seed and generation arguments for the specified problem ID.
+
+    Args:
+        problem_id (str): The problem ID to generate a case for.
+        seed (list[int] | int, optional): The seed(s) for the case generation. Defaults to 0.
+        gen_kwargs (dict): The generation arguments. Defaults to an empty dictionary.
+
+    Returns:
+        list[str] | str: The generated case(s). If `seed` is a list, returns a list of cases.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.case_gen(seed=seed, gen_kwargs=gen_kwargs)
+
+
+@mcp.tool()
+async def case_eval(
+    problem_id: str,
+    input_str: list[str] | str,
+    code: str,
+    code_language: CodeLanguage | str,
+    judge_version: JudgeVersion | str | None = None,
+    time_limit: float | None = None,
+    memory_limit: int | str | None = None,
+) -> ALEBenchResult:
+    """
+    Evaluates with a given case(s) for the specified problem ID.
+
+    Args:
+        problem_id (str): The problem ID to evaluate the case for.
+        input_str (list[str] | str): The input string(s) for the evaluation.
+        code (str): The code to evaluate.
+        code_language (CodeLanguage | str): The code language.
+        judge_version (JudgeVersion | str, optional): The judge version. Defaults to None.
+        time_limit (float, optional): The time limit in seconds. Defaults to None.
+        memory_limit (int | str, optional): The memory limit in bytes. Defaults to None.
+
+    Returns:
+        ALEBenchResult: The evaluation result.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.case_eval(
+        input_str=input_str,
+        code=code,
+        code_language=code_language,
+        judge_version=judge_version,
+        time_limit=time_limit,
+        memory_limit=memory_limit,
+        skip_local_visualization=True,
+    )
+
+
+@mcp.tool()
+async def case_vis(
+    problem_id: str,
+    input_str: str,
+    code: str,
+    code_language: CodeLanguage | str,
+    judge_version: JudgeVersion | str | None = None,
+    time_limit: float | None = None,
+    memory_limit: int | str | None = None,
+) -> Image:
+    """
+    Visualizes the solution with a given case for the specified problem ID.
+
+    Args:
+        problem_id (str): The problem ID to visualize the case for.
+        input_str (str): The input string for the visualization.
+        code (str): The code to visualize.
+        code_language (CodeLanguage | str): The code language.
+        judge_version (JudgeVersion | str, optional): The judge version. Defaults to None.
+        time_limit (float, optional): The time limit in seconds. Defaults to None.
+        memory_limit (int | str, optional): The memory limit in bytes. Defaults to None.
+
+    Returns:
+        Image: The visualization image of the evaluation result.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    result = ale_bench_session.case_eval(
+        input_str=input_str,
+        code=code,
+        code_language=code_language,
+        judge_version=judge_version,
+        time_limit=time_limit,
+        memory_limit=memory_limit,
+        skip_local_visualization=False,
+    )
+    local_visualization = result.case_results[0].local_visualization
+    buffer = io.BytesIO()
+    local_visualization.save(buffer, format="webp")
+    return Image(data=buffer.getvalue(), format="webp")
+
+
+@mcp.tool()
+async def case_gen_eval(
+    problem_id: str,
+    code: str,
+    code_language: CodeLanguage | str,
+    judge_version: JudgeVersion | str | None = None,
+    seed: list[int] | int = 0,
+    time_limit: float | None = None,
+    memory_limit: int | str | None = None,
+    gen_kwargs: dict = {},
+) -> ALEBenchResult:
+    """
+    Evaluates with a generated case(s) for the specified problem ID.
+
+    Args:
+        problem_id (str): The problem ID to generate and evaluate the case for.
+        code (str): The code to evaluate.
+        code_language (CodeLanguage | str): The code language.
+        judge_version (JudgeVersion | str, optional): The judge version. Defaults to None.
+        seed (list[int] | int, optional): The seed for the case generation. Defaults to 0.
+        time_limit (float, optional): The time limit in seconds. Defaults to None.
+        memory_limit (int | str, optional): The memory limit in bytes. Defaults to None.
+        gen_kwargs (dict): The generation arguments. Defaults to an empty dictionary.
+
+    Returns:
+        ALEBenchResult: The evaluation result.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.case_gen_eval(
+        code=code,
+        code_language=code_language,
+        judge_version=judge_version,
+        seed=seed,
+        time_limit=time_limit,
+        memory_limit=memory_limit,
+        gen_kwargs=gen_kwargs,
+        skip_local_visualization=True,
+    )
+
+
+@mcp.tool()
+async def case_gen_vis(
+    problem_id: str,
+    code: str,
+    code_language: CodeLanguage | str,
+    judge_version: JudgeVersion | str | None = None,
+    seed: int = 0,
+    time_limit: float | None = None,
+    memory_limit: int | str | None = None,
+    gen_kwargs: dict = {},
+) -> Image:
+    """
+    Visualizes the solution with a generated case(s) for the specified problem ID.
+
+    Args:
+        problem_id (str): The problem ID to generate and visualize the case for.
+        code (str): The code to visualize.
+        code_language (CodeLanguage | str): The code language.
+        judge_version (JudgeVersion | str, optional): The judge version. Defaults to None.
+        seed (int, optional): The seed for the case generation. Defaults to 0.
+        time_limit (float, optional): The time limit in seconds. Defaults to None.
+        memory_limit (int | str, optional): The memory limit in bytes. Defaults to None.
+        gen_kwargs (dict): The generation arguments. Defaults to an empty dictionary.
+
+    Returns:
+        Image: The visualization image of the evaluation result.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    result = ale_bench_session.case_gen_eval(
+        code=code,
+        code_language=code_language,
+        judge_version=judge_version,
+        seed=seed,
+        time_limit=time_limit,
+        memory_limit=memory_limit,
+        gen_kwargs=gen_kwargs,
+        skip_local_visualization=False,
+    )
+    local_visualization = result.case_results[0].local_visualization
+    buffer = io.BytesIO()
+    local_visualization.save(buffer, format="webp")
+    return Image(data=buffer.getvalue(), format="webp")
+
+
+@mcp.tool()
+async def public_eval(
+    problem_id: str,
+    code: str,
+    code_language: CodeLanguage | str,
+    judge_version: JudgeVersion | str | None = None,
+) -> ALEBenchResult:
+    """
+    Evaluates with pre-defined cases for the specified problem ID.
+
+    Args:
+        problem_id (str): The problem ID to evaluate the public case for.
+        code (str): The code to evaluate.
+        code_language (CodeLanguage | str): The code language.
+        judge_version (JudgeVersion | str, optional): The judge version. Defaults to None.
+
+    Returns:
+        ALEBenchResult: The evaluation result.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.public_eval(
+        code=code,
+        code_language=code_language,
+        judge_version=judge_version,
+        skip_local_visualization=True,
+    )
+
+
+@mcp.tool()
+async def private_eval(
+    problem_id: str,
+    code: str,
+    code_language: CodeLanguage | str,
+    judge_version: JudgeVersion | str | None = None,
+) -> tuple[ALEBenchResult, int, int]:
+    """
+    Evaluates with private cases for the specified problem ID.
+    This can only be called once per problem ID and the session will be closed after the evaluation.
+
+    Args:
+        problem_id (str): The problem ID to evaluate the private case for.
+        code (str): The code to evaluate.
+        code_language (CodeLanguage | str): The code language.
+        judge_version (JudgeVersion | str, optional): The judge version. Defaults to None.
+
+    Returns:
+        ALEBenchResult: The evaluation result.
+        int: The rank of the submission.
+        int: The performance of the submission.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions[problem_id]
+    return ale_bench_session.private_eval(
+        code=code,
+        code_language=code_language,
+        judge_version=judge_version,
+    )
+
+
+@mcp.tool()
+async def close_session(problem_id: str) -> str:
+    """
+    Closes an existing ALE-Bench session for the given problem ID.
+    Returns a confirmation message.
+
+    Args:
+        problem_id (str): The problem ID of the session to close.
+
+    Returns:
+        str: Confirmation message indicating the session has been closed.
+    """
+    current_sessions = get_current_sessions(mcp.get_context())
+    if problem_id not in current_sessions:
+        raise ValueError(f"No session found for problem ID `{problem_id}`.")
+    ale_bench_session = current_sessions.pop(problem_id)
+    ale_bench_session.close()
+    return f"Session closed for problem ID `{problem_id}`."
+
+
+if __name__ == "__main__":
+    mcp.run(transport="stdio")
diff --git a/mcp/uv.lock b/mcp/uv.lock
new file mode 100644
index 0000000..1b59cec
--- /dev/null
+++ b/mcp/uv.lock
@@ -0,0 +1,1133 @@
+version = 1
+revision = 1
+requires-python = ">=3.10, <3.14"
+
+[[package]]
+name = "ahocorapy"
+version = "1.6.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "future" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/38/d7/81b1d1533896d72186add63e3dd2fb70142aede6cc8a3cc48bf8a6d51002/ahocorapy-1.6.2.tar.gz", hash = "sha256:67a01cfdb91bb3ee81ec3a2eeacab42f0887b606463877bc08c636e873538940", size = 10721 }
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+[[package]]
+name = "ale-bench"
+version = "1.0.0"
+source = { git = "https://github.com/SakanaAI/ALE-Bench.git?tag=v1.0.0#371c79903d7d99cdb8808adeaa4a06b2db6f8ab4" }
+dependencies = [
+    { name = "ahocorapy" },
+    { name = "cairosvg" },
+    { name = "docker" },
+    { name = "huggingface-hub" },
+    { name = "pillow" },
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+]
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+[[package]]
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+source = { virtual = "." }
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+    { name = "ale-bench" },
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+    { name = "docker" },
+    { name = "huggingface-hub" },
+    { name = "mcp", extra = ["cli"] },
+    { name = "pillow" },
+    { name = "polars" },
+    { name = "pydantic" },
+]
+
+[package.optional-dependencies]
+dev = [
+    { name = "mypy" },
+    { name = "pytest" },
+    { name = "pytest-mock" },
+    { name = "ruff" },
+    { name = "types-requests" },
+]
+
+[package.metadata]
+requires-dist = [
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+    { name = "cairosvg" },
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From 10aa0ac53ffaa01bbcf5756173737a76c52367b4 Mon Sep 17 00:00:00 2001
From: Yuki Imajuku <yuki.imjk@gmail.com>
Date: Mon, 2 Jun 2025 18:31:07 +0900
Subject: [PATCH 2/5] update setup

---
 README.md          | 2 +-
 cloud/main.tf      | 2 +-
 cloud/setup_mcp.sh | 7 +++----
 cloud/variables.tf | 6 ++++++
 4 files changed, 11 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 7a39c3a..76c6387 100644
--- a/README.md
+++ b/README.md
@@ -498,7 +498,7 @@ The MCP server is a lightweight HTTP server that provides a simple interface for
     [ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion"  # This loads nvm bash_completion
     # Install the latest LTS version of Node.js
     nvm install --lts
-    # Install the Model Context Protocol Inspector globally (may not be necessary global installation)
+    # Install the Model Context Protocol Inspector
     npm install -g @modelcontextprotocol/inspector
     ```
 2. Install the MCP server dependencies using pip or uv:
diff --git a/cloud/main.tf b/cloud/main.tf
index 3e292de..d4caacf 100644
--- a/cloud/main.tf
+++ b/cloud/main.tf
@@ -104,7 +104,7 @@ resource "aws_instance" "ale_bench_instance" {
     disable_api_termination = false
     instance_initiated_shutdown_behavior = "stop"
 
-    user_data = file("setup.sh")
+    user_data = file(var.setup_file_name)
 
     tags = {
         Name = "ale-bench-instance-${count.index}"
diff --git a/cloud/setup_mcp.sh b/cloud/setup_mcp.sh
index d4441a4..1f46e2a 100644
--- a/cloud/setup_mcp.sh
+++ b/cloud/setup_mcp.sh
@@ -54,14 +54,13 @@ su - ubuntu -c "source /home/ubuntu/.local/bin/env"
 
 # Install Node Version Manager (NVM) and Node.js
 su - ubuntu -c "curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.3/install.sh | bash"
-su - ubuntu -c "export NVM_DIR=\"\${HOME}/.nvm\" && [ -s \"\${NVM_DIR}/nvm.sh\" ] && \\. \"\${NVM_DIR}/nvm.sh\""
-su - ubuntu -c "nvm install --lts"
-su - ubuntu -c "npm install -g @modelcontextprotocol/inspector"
+su - ubuntu -c "export NVM_DIR=\"\${HOME}/.nvm\" && [ -s \"\${NVM_DIR}/nvm.sh\" ] && \\. \"\${NVM_DIR}/nvm.sh\" && nvm install --lts && nvm use --lts && npm install -g @modelcontextprotocol/inspector"
 
 
 # Clone the ALE-Bench repository and setup the environment
 su - ubuntu -c "cd /home/ubuntu/ && git clone https://github.com/SakanaAI/ALE-Bench.git"
-su - ubuntu -c "cd /home/ubuntu/ALE-Bench && uv -q venv --python 3.12.9 && uv -q sync --extra mcp"
+su - ubuntu -c "cd /home/ubuntu/ALE-Bench && uv -q venv --python 3.12.9 && uv -q sync"
+su - ubuntu -c "cd /home/ubuntu/ALE-Bench/mcp && uv -q venv --python 3.12.9 && uv -q sync"
 su - ubuntu -c "cd /home/ubuntu/ALE-Bench && bash ./scripts/docker_build_all.sh \$(id -u) \$(id -g)"
 
 
diff --git a/cloud/variables.tf b/cloud/variables.tf
index b794dfe..03b9026 100644
--- a/cloud/variables.tf
+++ b/cloud/variables.tf
@@ -39,3 +39,9 @@ variable "allowed_ssh_cidr" {
     type        = string
     default     = "0.0.0.0/0"
 }
+
+variable "setup_file_name" {
+    description = "Name of the setup file to be copied to the instance"
+    type        = string
+    default     = "setup.sh"
+}

From 198e035f36125e2d7522a118fb01ae2ebfb9bae6 Mon Sep 17 00:00:00 2001
From: Yuki Imajuku <yuki.imjk@gmail.com>
Date: Wed, 4 Jun 2025 15:39:45 +0900
Subject: [PATCH 3/5] resource to tool

---
 README.md                        | 40 ++++++++++++++++++++++++--------
 mcp/server.py                    | 32 ++++++++++++++++++-------
 scripts/docker_build_all.sh      |  6 ++---
 scripts/docker_build_base_all.sh |  3 +--
 scripts/docker_pull_all.sh       |  3 +--
 scripts/docker_push_all.sh       |  3 +--
 scripts/docker_rmi_all.sh        | 13 +++++++++++
 7 files changed, 72 insertions(+), 28 deletions(-)
 create mode 100644 scripts/docker_rmi_all.sh

diff --git a/README.md b/README.md
index 76c6387..7522e46 100644
--- a/README.md
+++ b/README.md
@@ -485,10 +485,10 @@ Set `num_workers` to at most the number of **physical cores** of your instance,
     # Confirm with 'yes' or use -auto-approve
     ```
 
-# MCP (Model Context Protocol) Server
+## MCP (Model Context Protocol) Server
 The MCP server is a lightweight HTTP server that provides a simple interface for interacting with the ALE-Bench toolkit. It allows you to run evaluations and manage sessions without needing to write Python code directly.
 
-## Setup
+### Setup
 1. Install Node.js and npm
     ```sh
     # Install nvm (Node Version Manager) for easy Node.js management
@@ -502,27 +502,47 @@ The MCP server is a lightweight HTTP server that provides a simple interface for
     npm install -g @modelcontextprotocol/inspector
     ```
 2. Install the MCP server dependencies using pip or uv:
-```sh
-cd mcp
-uv sync
-```
+    ```sh
+    cd mcp
+    uv sync
+    uv sync --extra dev  # For development dependencies
+    ```
 
-## Running the MCP Server
+### Running the MCP Server
 ```sh
-uv run mcp dev server.py --with-editable .
+# Ensure you are in the mcp directory (e.g., cd mcp from the project root)
+uv run mcp run server.py
+uv run mcp dev server.py --with-editable .  # For development
 ```
 
+### Use with Claude Desktop
+1. Open the `claude_desktop_config.json` file that configures the Claude Desktop. Add the following configuration to connect to the MCP server, ensuring you replace `/path/to/ALE-Bench` in the `args` with the actual absolute path to your cloned `ALE-Bench` repository directory:
+    ```json
+    {
+        "mcpServers": {
+            "ALE-Bench MCP Server": {
+                "command": "/bin/bash",
+                "args": [
+                    "-c",
+                    "cd /path/to/ALE-Bench/mcp && uv run --with ale_bench --with mcp[cli] mcp run /path/to/ALE-Bench/mcp/server.py"
+                ]
+            }
+        }
+    }
+    ```
+2. Restart the Claude Desktop application to apply the changes.
+
 ## Development
 
 -   **Environment Setup:**
     ```sh
     git clone https://github.com/SakanaAI/ALE-Bench.git
     cd ALE-Bench
-    pip install ".[dev,mcp]"
+    pip install ".[dev]"
 
     # Using uv
     uv venv --python 3.12.9
-    uv sync --extra dev --extra mcp
+    uv sync --extra dev
     source .venv/bin/activate
     ```
 
diff --git a/mcp/server.py b/mcp/server.py
index cf8f655..6012baf 100644
--- a/mcp/server.py
+++ b/mcp/server.py
@@ -50,7 +50,23 @@ async def app_lifespan(server: FastMCP) -> AsyncIterator[AppContext]:
 mcp = FastMCP("ALE-Bench MCP Server", dependencies=["ale_bench"], lifespan=app_lifespan)
 
 
-@mcp.resource("check://app")
+@mcp.resource("description://app")
+async def app_description() -> str:
+    """
+    Returns the description of the ALE-Bench MCP application.
+    This is used to provide metadata about the application.
+
+    Returns:
+        str: The description of the application.
+    """
+    return (
+        "ALE-Bench is a benchmark for evaluating AI systems on score-based algorithmic programming contests. "
+        "Drawing on real-world tasks from the AtCoder Heuristic Contest (AHC), "
+        "ALE-Bench presents optimization problems (e.g., routing and scheduling) "
+        "that are computationally hard and admit no known exact solution."
+    )
+
+@mcp.tool()
 async def check_app() -> str:
     """
     Health check endpoint for the application.
@@ -62,7 +78,7 @@ async def check_app() -> str:
     return f"Server `{mcp.name}` is running."
 
 
-@mcp.resource("list://problem_ids")
+@mcp.tool()
 async def list_problem_ids() -> list[str]:
     """
     Lists all available problem IDs in the ALE-Bench.
@@ -74,7 +90,7 @@ async def list_problem_ids() -> list[str]:
     return ale_bench.list_problem_ids(lite_version=LITE_VERSION)
 
 
-@mcp.resource("list://current_sessions")
+@mcp.tool()
 async def list_current_sessions() -> list[tuple[str, bool]]:
     """
     Lists all currently active ALE-Bench sessions.
@@ -87,7 +103,7 @@ async def list_current_sessions() -> list[tuple[str, bool]]:
     return sorted(list(current_sessions.keys()))
 
 
-@mcp.resource("get://{problem_id}/problem")
+@mcp.tool()
 async def get_problem(problem_id: str) -> Problem:
     """
     Retrieves the problem for the given problem ID from ALE-Bench.
@@ -106,7 +122,7 @@ async def get_problem(problem_id: str) -> Problem:
     return ale_bench_session.problem
 
 
-@mcp.resource("get://{problem_id}/public_seeds")
+@mcp.tool()
 async def get_public_seeds(problem_id: str) -> list[int]:
     """
     Retrieves the public seeds for the given problem ID.
@@ -125,7 +141,7 @@ async def get_public_seeds(problem_id: str) -> list[int]:
     return ale_bench_session.public_seeds
 
 
-@mcp.resource("get://{problem_id}/rust_tool_source")
+@mcp.tool()
 async def get_rust_tool_source(problem_id: str) -> dict[str, str]:
     """
     Retrieves the Rust tool source code for the given problem ID.
@@ -155,7 +171,7 @@ async def get_rust_tool_source(problem_id: str) -> dict[str, str]:
     return rust_tool_sources
 
 
-@mcp.resource("get://{problem_id}/remaining_time")
+@mcp.tool()
 async def get_remaining_time(problem_id: str) -> float:
     """
     Retrieves the remaining time for the given problem ID.
@@ -174,7 +190,7 @@ async def get_remaining_time(problem_id: str) -> float:
     return ale_bench_session.session_remaining_time.total_seconds()
 
 
-@mcp.resource("get://{problem_id}/visualization_server_port")
+@mcp.tool()
 async def get_visualization_server_port(problem_id: str) -> int:
     """
     Retrieves the port number for the visualization server of the given problem ID.
diff --git a/scripts/docker_build_all.sh b/scripts/docker_build_all.sh
index e02484c..9e97569 100644
--- a/scripts/docker_build_all.sh
+++ b/scripts/docker_build_all.sh
@@ -1,10 +1,8 @@
 #!/bin/bash
 set -Eeuo pipefail
 
-user_id=$1
-user_id=${user_id:-0}  # default 0 (root)
-group_id=$2
-group_id=${group_id:-0}  # default 0 (root)
+user_id=${1:-0}  # default 0 (root)
+group_id=${2:-0}  # default 0 (root)
 
 # C++
 ## Judge version 2019-07
diff --git a/scripts/docker_build_base_all.sh b/scripts/docker_build_base_all.sh
index b726852..ec4d2f7 100644
--- a/scripts/docker_build_base_all.sh
+++ b/scripts/docker_build_base_all.sh
@@ -1,8 +1,7 @@
 #!/bin/bash
 set -Eeuo pipefail
 
-remote=$1
-remote=${remote:-"yimjk/ale-bench"}
+remote=${1:-"yimjk/ale-bench"}
 
 # C++
 ## Judge version 2019-07
diff --git a/scripts/docker_pull_all.sh b/scripts/docker_pull_all.sh
index 2bbc373..415bf4c 100644
--- a/scripts/docker_pull_all.sh
+++ b/scripts/docker_pull_all.sh
@@ -1,8 +1,7 @@
 #!/bin/bash
 set -Eeuo pipefail
 
-remote=$1
-remote=${remote:-"yimjk/ale-bench"}
+remote=${1:-"yimjk/ale-bench"}
 
 docker image pull ${remote}:cpp17-201907
 docker image pull ${remote}:cpp17-202301
diff --git a/scripts/docker_push_all.sh b/scripts/docker_push_all.sh
index 638cdc1..415ad9a 100644
--- a/scripts/docker_push_all.sh
+++ b/scripts/docker_push_all.sh
@@ -1,8 +1,7 @@
 #!/bin/bash
 set -Eeuo pipefail
 
-remote=$1
-remote=${remote:-"yimjk/ale-bench"}
+remote=${1:-"yimjk/ale-bench"}
 
 docker image push ${remote}:cpp17-201907
 docker image push ${remote}:cpp17-202301
diff --git a/scripts/docker_rmi_all.sh b/scripts/docker_rmi_all.sh
new file mode 100644
index 0000000..94a8947
--- /dev/null
+++ b/scripts/docker_rmi_all.sh
@@ -0,0 +1,13 @@
+#!/bin/bash
+set -Eeuo pipefail
+
+repo=${1:-"ale-bench"}
+
+docker rmi ${repo}:cpp17-201907
+docker rmi ${repo}:cpp17-202301
+docker rmi ${repo}:cpp20-202301
+docker rmi ${repo}:cpp23-202301
+docker rmi ${repo}:python-201907
+docker rmi ${repo}:python-202301
+docker rmi ${repo}:rust-201907
+docker rmi ${repo}:rust-202301

From f1a497afdc139eadce8f5dc0a738285060cbe4e1 Mon Sep 17 00:00:00 2001
From: Yuki Imajuku <yuki.imjk@gmail.com>
Date: Wed, 4 Jun 2025 15:41:59 +0900
Subject: [PATCH 4/5] apply ruff format

---
 mcp/server.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/mcp/server.py b/mcp/server.py
index 6012baf..396a27a 100644
--- a/mcp/server.py
+++ b/mcp/server.py
@@ -66,6 +66,7 @@ async def app_description() -> str:
         "that are computationally hard and admit no known exact solution."
     )
 
+
 @mcp.tool()
 async def check_app() -> str:
     """

From db849faabdbc999eecd7c7b4703e0b10f176aa16 Mon Sep 17 00:00:00 2001
From: Yuki Imajuku <72183189+Yuki-Imajuku@users.noreply.github.com>
Date: Tue, 17 Jun 2025 14:40:12 +0900
Subject: [PATCH 5/5] Update README.md

---
 README.md | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 7522e46..fbf4eb7 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,8 @@ Drawing on real-world tasks from the AtCoder Heuristic Contest (AHC), ALE-Bench
 
 *Note: This repository is not an official product of SakanaAI or AtCoder and is therefore not officially supported.*
 
+***Important: Please do not use this repository to participate　in AHCs ([AtCoder Heuristic Contest Generative AI Usage Rules - Version 20250616](https://info.atcoder.jp/entry/ahc-llm-rules-en)).***
+
 https://github.com/user-attachments/assets/50a8de5a-b519-4aef-8e54-c60ac9dcbb90
 
 ## Setup
@@ -532,6 +534,8 @@ uv run mcp dev server.py --with-editable .  # For development
     ```
 2. Restart the Claude Desktop application to apply the changes.
 
+<img width="680" alt="MCP_Claude_Desktop" src="https://github.com/user-attachments/assets/d9f22719-5686-406d-aa94-44406c700d6f" />
+
 ## Development
 
 -   **Environment Setup:**
@@ -581,10 +585,10 @@ uv run mcp dev server.py --with-editable .  # For development
 Please cite ALE-Bench as follows:
 
 ```bibtex
-@misc{imajuku2025ale-bench,
-    title = {{ALE-Bench}: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering},
-    author = {Imajuku, Yuki and Horie, Kohki and Iwata, Yoichi and Aoki, Kensho and Takahashi, Naohiro and Akiba, Takuya},
-    url = {https://github.com/SakanaAI/ALE-Bench},
-    year = {2025}
+@article{imajuku2025ale-bench,
+    title={ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering},
+    author={Imajuku, Yuki and Horie, Kohki and Iwata, Yoichi and Aoki, Kensho and Takahashi, Naohiro and Akiba, Takuya},
+    journal={arXiv preprint arXiv:2506.09050},
+    year={2025}
 }
 ```