AI Distiller is ultra‑fast, open‑source tool for intelligently extracting only the essential public APIs, types, and structure from large codebases. Compresses 90–98% of code into AI‑friendly context, integrates via CLI or MCP, supports 12+ languages, and AI prompt workflows for cleaner, cost‑effective AI development.
Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension
MCP Server for RestCSV, Generated using MCPGen
A personal MCP (Model Context Protocol) server for securely storing and accessing API keys across projects using the macOS Keychain.
Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
An MCP server for octomind tools, resources and prompts
OpenAPI specification MCP server.
MCP Server implementation for Xcode integration
Model Context Protocol server for Github Repo // Reading Github Repo
An MCP server that provides LLMs with the latest stable package versions when coding
LLDB MCP server
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.
MCP-NixOS - Model Context Protocol Server for NixOS resources
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
This is an implementation project of a JVM-based MCP (Model Context Protocol) server. The project aims to provide a standardized MCP server implementation for the JVM platform, enabling AI models to better interact with the Java ecosystem.
A mcp server provide infomation from pkg.go.dev. For all golang programmers
council of models for decision
An MCP server implementation enabling LLMs to work with new APIs and frameworks
A flexible HTTP fetching Model Context Protocol server.
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
This project provides a Model Context Protocol (MCP) server that allows interaction with a Label Studio instance using the label-studio-sdk. It enables programmatic management of labeling projects, tasks, and predictions via natural language or structured calls from MCP clients. Using this MCP Server, you can make requests like: * "Create a project in label studio with this data ..." * "How many tasks are labeled in my RAG review project?" * "Add predictions for my tasks." * "Update my labeling template to include a comment box."
A Model Context Protocol (MCP) for Jupyter Notebook
The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.
A Model Context Protocol (MCP) server enabling AI agents to query information about gems in a Ruby project's Gemfile, including source code and metadata.
A Model Context Protocol server for converting almost anything to Markdown
An MCP server that standardizes and contextualizes industrial Modbus data.
MCP server for merging multiple files into one
Homebrew MCP : Comprehensive brew support for installing, upgrading, searching, and maintaining macOS packages.
Model Context Protocol (MCP) server for SonarQube
