MCP server that tracks file descriptions across codebases, enabling AI agents to efficiently navigate and understand code through searchable summaries and token-aware overviews.

Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.

MCP本のコードベースです

Graph Retriever Analysis and Performance Evaluation

n8n mcp czlonkowski

An MCP server for code reviews using OpenAI and Google models for Claude-code

MCP Community Working Group repository

MCP server to read, write, find, and list across filesystems & web; includes webpage-to-Markdown, image processing, diffing, and archiving.

mcp client python example

🦀 High-performance local RAG server in Rust that integrates with Claude Desktop via MCP. Search PDF documents privately using Ollama embeddings - no external API calls.

A comprehensive MCP server for LightRAG integration with 22 tools for document management, querying, knowledge graph operations, and system management

Eliminate AI hallucinations. Zero config. Works instantly with Cline, RooCode, KiloCode, and more.

OpenStreetMap MCP server providing precision geospatial tools for LLMs via Model Context Protocol. Features geocoding, routing, nearby places, neighborhood analysis, EV charging stations, and more.

memory mcp 1file

Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions. Features hybrid search (semantic + BM25), MCP server integration, SQLite persistence with knowledge graph, and proactive memory surfacing. Written in Rust.

A molecular machine learning MCP server that enables LLMs to handle molecular data

Tracing middleware for MCP servers in TypeScript. Logs all requests, tool calls, and responses to file, DB, or cloud with adapters for OTLP, Supabase, PostgreSQL, and Contexa.

🔭 Search server to access data from various open access data publishers

AI-assisted development MCP providing long-term, on-device "AI memory" for IDEs. Powered by Kuzu GraphDB and exposed via MCP server

Model Context Protocol implementation that connects your LLM to Firebolt

Kibela's official MCP Server

Agent OS in Rust — one binary, 37 agents, 26 LLM providers, 37 channels (Telegram/Discord/Slack...), MCP server, A2A protocol, 120+ API endpoints, web dashboard

Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. One binary, zero config.

AI-powered Xiaohongshu (小红书/RED) automation — publish, search, engage, analyze. MCP + CDP.