MCP (Model Context Protocol) server for PixelFixer — a visual bug tracking and kanban board tool. Connects AI agents (Claude, Cursor, VS Code Copilot, Windsurf) to your PixelFixer projects.
This MCP server gives AI agents full access to your PixelFixer workspace:
| Category | Tools |
|---|---|
| Session | init_session, set_context |
| Teams & Projects | list_teams, list_projects, get_project, list_team_members |
| Tasks | list_tasks, get_task, create_task, update_task, move_task, search_tasks |
| Comments | add_comment, list_comments |
| Kanban | list_columns |
| GitHub | get_github_context, get_repo_tree, get_file_content, create_pull_request, commit_files |
| AI Pipeline | start_task, complete_ai_task, list_ai_queue |
- Session context — call
init_sessiononce; all tools auto-use your team/project IDs - Task numbers —
get_task,start_task, etc. accepttaskNumber: 42instead of raw IDs - Compact responses — list views return summaries (~90% fewer tokens than v0.2)
- Retry & timeout — automatic retry with backoff on 429/5xx, 30s request timeout
- Better errors — human-readable messages that help AI self-correct
Go to PixelFixer → Team Settings → API Tokens and create a token with read + write scopes.
VS Code (.vscode/mcp.json):
{
"servers": {
"pixelfixer": {
"command": "npx",
"args": ["-y", "@mudravaorg/mcp-server"],
"env": {
"PIXELFIXER_API_TOKEN": "pf_your_token_here",
"PIXELFIXER_API_URL": "https://pixelfixer.mudrava.com"
}
}
}
}Cursor (.cursor/mcp.json) / Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"pixelfixer": {
"command": "npx",
"args": ["-y", "@mudravaorg/mcp-server"],
"env": {
"PIXELFIXER_API_TOKEN": "pf_your_token_here",
"PIXELFIXER_API_URL": "https://pixelfixer.mudrava.com"
}
}
}
}Note: VS Code uses
"servers"as the root key, while Cursor and Claude Desktop use"mcpServers".
Ask your AI agent:
- "Check my PixelFixer tasks and fix what's in the AI queue"
- "Start task #42 and fix it"
- "Search for high-priority open bugs"
- "Create a PR that fixes the button color issue from task #15"
| Variable | Required | Default | Description |
|---|---|---|---|
PIXELFIXER_API_TOKEN |
Yes | — | Personal API token (starts with pf_) |
PIXELFIXER_API_URL |
No | http://localhost:3000 |
PixelFixer instance URL |
If you're running PixelFixer from source, you can use the local build instead of the npm package:
cd packages/mcp-server
pnpm install
pnpm buildThen point your IDE to the local file:
{
"servers": {
"pixelfixer": {
"command": "node",
"args": ["${workspaceFolder}/packages/mcp-server/dist/index.js"],
"env": {
"PIXELFIXER_API_TOKEN": "pf_your_token_here",
"PIXELFIXER_API_URL": "http://localhost:3000"
}
}
}
}The recommended first call in every session. Auto-discovers your team and project (if you have exactly one of each), sets the session context, and returns the AI task queue as compact summaries. After this, all tools auto-fill teamId/projectId.
Start working on an AI task. Moves the task to In Progress, sets AI status to PROCESSING, and returns full context: task details, comments, GitHub info, columns, and a workflow guide. Accepts taskId or taskNumber.
Search with multiple filters:
q— text search (title, description, task number)status— OPEN, IN_PROGRESS, RESOLVED, CLOSEDpriority— LOW, MEDIUM, HIGH, CRITICALaiStatus— NONE, QUEUED, PROCESSING, COMPLETED, FAILEDassigneeId,columnId,tag
Creates a branch and PR in the connected GitHub repo. Example:
branchName: "fix/PF-42-button-color"
title: "Fix button color on dashboard"
body: "Resolves PF-42. Changed primary button color..."
- API tokens are hashed (SHA-256) in the database — even a DB leak won't expose tokens
- Tokens have scoped permissions (read / write / admin)
- The MCP server runs locally on your machine — data goes directly to your PixelFixer instance over HTTPS
- No data is sent to third parties
MIT