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If you want to support noapi-google-mcp or gpt-oss-20B/120B-Vision and other open source models in the pipeline please add to my GPU compute fund: around $3000 are needed.
If you find this useful, consider supporting continued development and new features. BTC:16DT4AHemLyn7C6P116YepjY518gu9wUUH ETH:0x7287D1F9c77832cFF246937af0443622bFdACD04
38 tools. Zero API keys. Give any local LLM real Google search, live feeds, vision, OCR, and full video understanding.
An MCP server that turns your local LLM into a fully connected assistant. Real Google results, live news and social feeds, reverse image search, offline OCR, YouTube transcription and clip extraction — all running locally through headless Chromium and open-source ML models. No API keys, no usage limits, no cloud dependency.
Works with LM Studio, Claude Desktop, OpenClaw, Ollama, and any MCP-compatible client.
What's New in v0.3.1 — Anti-Bot Detection & Neural Net CAPTCHA Solver
Google started catching headless Chromium browsers and serving CAPTCHAs instead of search results (#2). Fixed it properly and then added a neural net CAPTCHA solver just for the hell of it.
Stealth patches:
JavaScript injection before every page load patches navigator.webdriver, fake browser plugins, chrome.runtime, and removes Playwright fingerprints
Fixed User-Agent mismatch (was aarch64, now matches the actual Chromium binary)
Cookie persistence between sessions so Google sees a returning browser, not a fresh bot
Human-like random delays between page interactions
Clear error messages when rate-limited instead of cryptic timeouts
Neural net CAPTCHA solver (MobileNetV2 + OpenCV):
When Google serves a reCAPTCHA image challenge ("Select all images with traffic lights"), the server now attempts to solve it automatically
Uses MobileNetV2 (ImageNet classifier, ~13MB ONNX model, auto-downloads on first encounter)
OpenCV splits the CAPTCHA grid into cells, each cell is classified by the neural net and matched against the prompt
Covers 22 common CAPTCHA categories: traffic lights, buses, bicycles, motorcycles, cars, bridges, boats, trains, trucks, fire hydrants, parking meters, tractors, and more
Human-like mouse movement for clicking cells and the verify button
Falls back gracefully if the challenge type isn't supported
Will it solve every CAPTCHA? No. But it'll get through some of them, and honestly we mostly built it because we could.
What's New in v0.3.0 — 16 New Tools
YouTube RAG — Subscribe, Transcribe, Search, Clip
A full local retrieval-augmented pipeline for YouTube. Subscribe to any channel, and when you check feeds the server automatically downloads the audio, transcribes it with Whisper, and stores the full transcript in SQLite with FTS5 full-text search. Every word from every video becomes searchable — ask your LLM a question and it pulls the answer from the right video.
Found something interesting? Ask the LLM to extract that segment as a clip. It reads the transcript, finds the exact timestamps, and cuts the video for you. This is the beginning of AI/LLM-powered video editing — your LLM understands the content and cuts clips based on what's being said, not just timestamps.
How it works:
subscribe to a YouTube channel — by handle (@3Blue1Brown), URL, or channel ID
check_feeds — new videos are fetched and auto-transcribed locally with faster-whisper. Transcripts are written into the database for instant search. Up to 5 videos per check, cached so nothing gets re-downloaded.
search_feeds — full-text search across all transcripts. Supports AND, OR, NOT, and quoted phrases. Your LLM finds the exact video and passage that answers your question.
extract_video_clip — tell the LLM what you're interested in and it cuts the clip from the video. The LLM uses the transcript to find the right segment and extracts it automatically.
"Subscribe to @AndrejKarpathy on YouTube"
"Check my feeds"
"Search my feeds for backpropagation explained"
"What did Karpathy say about tokenization?"
"Extract the part where he explains gradient descent"
"Cut a clip of the hardware comparison section"
No embeddings, no vector database, no API — just Whisper + SQLite FTS5 running on your machine.
Roadmap: The clip extraction is the first step toward full AI-driven video editing. Future releases will add music/audio overlay, video remixing, multi-clip compilation, vertical reformat for TikTok/Reels/Shorts, and automated highlight reels — all driven by your LLM understanding the content.
Live Feed Subscriptions
Subscribe to news, Reddit, Hacker News, YouTube channels, Twitter/X profiles, GitHub repos, arXiv papers, and podcasts. Content is fetched, stored locally in SQLite with full-text search, and available to your LLM instantly.
"Subscribe to BBC News, r/LocalLLaMA, and Hacker News"
"Follow @elonmusk on Twitter"
"Subscribe to the YouTube channel @3Blue1Brown"
"Watch anthropics/claude-code on GitHub for new releases"
"Subscribe to the machine learning arXiv category"
"Check my feeds"
"Search my feeds for transformer architecture"
"What's new in my Reddit feeds?"
Local File Processing
Transcribe meetings, convert formats, read documents — all local, no cloud.
New Tool
What It Does
transcribe_local
Transcribe any local audio or video file with Whisper (mp3, wav, mp4, mkv, etc.)
convert_media
FFmpeg format conversion — video to audio, format to format, video to GIF
read_document
Extract text from PDF, DOCX, HTML, CSV, JSON, and 30+ text formats
Email, Web Utilities & Cloud
Pull emails, generate QR codes, shorten URLs, archive pages, look up Wikipedia, upload to S3.
New Tool
What It Does
fetch_emails
Pull emails via IMAP — Gmail, Outlook, Yahoo, any IMAP server
paste_text
Post text to a pastebin and get a shareable link
shorten_url
Shorten any URL via TinyURL
generate_qr
Generate QR code images for URLs, Wi-Fi, contacts, any data
archive_webpage
Save a webpage snapshot to the Wayback Machine
wikipedia
Look up any Wikipedia article, any language, with summary support
upload_to_s3
Upload files to MinIO, AWS S3, DigitalOcean Spaces, Cloudflare R2
"Transcribe this recording: ~/meeting.mp3"
"Convert video.mp4 to mp3"
"Read this PDF: ~/report.pdf"
"Check my email: user@gmail.com password: xxxx"
"Shorten this URL: https://very-long-url..."
"Generate a QR code for https://mysite.com"
"Archive this article: https://news.example.com/story"
"Wikipedia: quantum computing"
"Upload report.pdf to my MinIO bucket"
Zero extra dependencies for feeds. Built entirely on Python stdlib — SQLite for storage, FTS5 for search, urllib for fetching, xml.etree for parsing. YouTube and Twitter use the existing Playwright browser. FFmpeg required for convert_media (commonly pre-installed).
All 38 Tools by Category
Live Feed Subscriptions
Tool
Description
subscribe
Subscribe to news, Reddit, HN, GitHub, arXiv, YouTube, podcasts, Twitter/X
unsubscribe
Remove a subscription and its stored content
list_subscriptions
List all active subscriptions with item counts
check_feeds
Fetch new content from all or specific sources
search_feeds
Full-text search across all stored feed content
get_feed_items
Get recent items filtered by source or type
Google Search & Web
Tool
Description
google_search
Web search with time filters, site filters, pagination, language/region
google_news
News search with article thumbnails inline
google_scholar
Academic papers with citations
google_images
Image search with results displayed inline in chat
google_trends
Topic interest over time, related queries
visit_page
Fetch any URL and extract readable text
Travel & Commerce
Tool
Description
google_shopping
Product search with prices, stores, ratings, images
google_flights
Flight search with prices and travel times
google_hotels
Hotel search with images, prices, ratings, booking URLs
google_translate
Translation across 100+ languages
google_maps
Places search with ratings, reviews, and map screenshots
google_maps_directions
Route directions with step-by-step and map screenshot
Finance & Info
Tool
Description
google_finance
Stock prices, market data, company info
google_weather
Current conditions and multi-day forecast
google_books
Book search with author, ISBN, snippets
Vision & OCR
Tool
Description
google_lens
Reverse image search — identify objects, products, landmarks, text
google_lens_detect
Detect all objects in an image (OpenCV) and identify each via Lens
ocr_image
Extract text from images locally (RapidOCR, fully offline)
list_images
List image files in a directory for use with vision tools
Video & Audio Intelligence — AI-Powered Video Editing
Tool
Description
transcribe_video
Download and transcribe any video with timestamps (faster-whisper)
transcribe_local
Transcribe local audio/video files (mp3, wav, m4a, mp4, mkv, etc.)
search_transcript
Search a transcribed video for topics by keyword
extract_video_clip
AI-powered clip extraction — tell the LLM what you want and it cuts the video using transcript context
convert_media
Convert between audio/video formats via FFmpeg
Documents & Data
Tool
Description
read_document
Extract text from PDF, DOCX, HTML, CSV, JSON, and 30+ formats
Email
Tool
Description
fetch_emails
Pull emails via IMAP — Gmail, Outlook, Yahoo, iCloud, any IMAP server
Web Utilities
Tool
Description
paste_text
Post text to a pastebin and get a shareable URL
shorten_url
Shorten any URL via TinyURL
generate_qr
Generate QR code images (URLs, Wi-Fi, contacts, any data)
Detect all objects (OpenCV), crop each one, identify individually via Lens.
Parameter
Description
Example
image_source
Local file path or base64 (required)
"/home/user/photo.jpg"
ocr_image — Local OCR (offline)
Extract text from images using RapidOCR. No internet needed.
Parameter
Description
Example
image_source
Local file path or base64 (required)
"/home/user/screenshot.png"
list_images — Image Discovery
Parameter
Description
Example
directory
Folder to scan (default ~/lens/)
"/home/user/photos"
Video Intelligence Tools
transcribe_video — Video Transcription
Download and transcribe any YouTube video (or video URL) with timestamps using faster-whisper.
Parameter
Description
Example
url
YouTube or video URL (required)
"https://youtube.com/watch?v=..."
model_size
Whisper model size (default: tiny)
"tiny", "base", "small", "medium", "large"
language
Language code (optional, auto-detected)
"en"
search_transcript — Transcript Search
Parameter
Description
Example
url
Same URL used with transcribe_video (required)
"https://youtube.com/watch?v=..."
query
Keyword or phrase (required)
"memory bandwidth"
context_segments
Surrounding segments (default: 2)
3
extract_video_clip — Clip Extraction by Topic
Ask "extract the part about X" and the LLM finds timestamps from the transcript and cuts the clip.
Parameter
Description
Example
url
YouTube URL or local video (required)
"https://youtube.com/watch?v=..."
start_seconds
Start time in seconds (required)
150
end_seconds
End time in seconds (required)
315
buffer_seconds
Extra seconds before/after (default: 3)
5.0
output_filename
Custom filename (optional)
"hardware_overview"
Sample Prompts
Feed Subscriptions
What you type
Tool called
"Subscribe to BBC News and CNN"
subscribe
"Follow r/LocalLLaMA on Reddit"
subscribe
"Monitor Hacker News top stories"
subscribe
"Watch anthropics/claude-code for new releases"
subscribe
"Subscribe to @3Blue1Brown on YouTube"
subscribe
"Follow @elonmusk on Twitter"
subscribe
"Subscribe to the ML arXiv category"
subscribe
"Check my feeds"
check_feeds
"What's new in my subscriptions?"
check_feeds
"Search my feeds for transformer architecture"
search_feeds
"Show me the latest Reddit posts"
get_feed_items
"What are my subscriptions?"
list_subscriptions
"Unsubscribe from BBC News"
unsubscribe
Web Search
What you type
Tool called
Parameters used
"Search for the best Python web frameworks"
google_search
query
"Find Reddit discussions about home lab setups"
google_search
query + site="reddit.com"
"Search Stack Overflow for async Python examples"
google_search
query + site="stackoverflow.com"
"What's new in AI this week?"
google_search
query + time_range="past_week"
"Search Hacker News for posts about Rust"
google_search
query + site="news.ycombinator.com"
"Get page 2 of results for ML tutorials"
google_search
query + page=2
"Search for restaurants in Tokyo in Japanese"
google_search
query + language="ja" + region="jp"
Shopping & Travel
What you type
Tool called
"Find the cheapest MacBook Air"
google_shopping
"Find flights from New York to London"
google_flights
"Find hotels in Paris for next weekend"
google_hotels
"Translate 'hello world' to Japanese"
google_translate
Maps & Directions
What you type
Tool called
"Find Italian restaurants near Times Square"
google_maps
"Get directions from Berlin to Munich"
google_maps_directions
"Walking directions from the Eiffel Tower to the Louvre"
google_maps_directions
Finance, Weather & Info
What you type
Tool called
"What's Apple's stock price?"
google_finance
"What's the weather in Dubai?"
google_weather
"What are today's top headlines?"
google_news
"Find papers on transformer attention mechanisms"
google_scholar
"Find books about machine learning"
google_books
Images & Vision
What you type
Tool called
"Show me images of the Northern Lights"
google_images
"What is this product? /path/to/photo.jpg"
google_lens
"Detect all objects in this photo"
google_lens_detect
"Read the text in this screenshot"
ocr_image
Drag image into chat + "What is this?"
google_lens
Drag image into chat + "Read the text"
ocr_image
Tip: To enable drag-and-drop images with text-only models in LM Studio, add a model.yaml file in the model directory with metadataOverrides: { vision: true }. The image will be sent as base64 and the MCP tools handle it automatically.
If you find this useful, consider supporting continued development and new features.
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