Ray MCP Server

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

Provides tools for geospatial analysis within Jupyter notebooks.

Tailwind Components with Native MCP Support

Provides tools to interact with the Ansible Automation Platform API for automation tasks.

Manual code reviews are time-consuming and often miss the opportunity to combine static analysis with contextual, human-friendly feedback. This project was created to experiment with MCP tooling that gives AI assistants access to a purpose-built reviewer. Uses the Gemini cli application to process the reviews at this time and linting only for typescript/javascript apps at the moment. Will add API based calls to LLM's in the future and expand linting abilities. It's also cheaper than using coderabbit ;)

Fetch comprehensive information about vcpkg packages, including READMEs, metadata, and search results.

A comprehensive toolkit for AI-driven development, offering file system operations, code analysis, execution, web searching, and system information retrieval.

Provides local access to Cursor chat history for AI analysis and insights, with no external services or API keys required.

A collection of reference implementations for the Model Context Protocol (MCP), showcasing various MCP servers implemented with TypeScript and Python SDKs.

Find and decompile classes within Gradle dependencies.

Agentic debugger