Best & Trending MCP Servers
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The fastest BM25 scoring engine: 2,300x faster than BM25S. 28K QPS on 8.8M docs. 5 BM25 variants (Robertson, Lucene, ATIRE, BM25L, BM25+). Memory-mapped persistence, BMW pruning, streaming indexing.
A collection of AI-assisted automation tools for and , built around the Model Context Protocol (MCP).
Caelune (凯露恩) — Local-first retrieval for private Markdown, PDF, and Tika documents, with a Windows desktop app and read-only MCP server.｜本地优先的私人知识检索工具。
Expose llms-txt to IDEs for development
Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.
OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.
A distributed runtime system for federated AI services with edge computing capabilities.
An MCP (Model Context Protocol) server and Next.js web app for querying S&P 500 company data from Supabase.
A Server-Sent Events (SSE) implementation using FastAPI framework with Model Context Protocol (MCP) integration.
A remote Cloudflare MCP server boilerplate with user authentication and Stripe for paid tools.
An MCP (Model Context Protocol) server that provides comprehensive RAG (Retrieval-Augmented Generation) capabilities for processing and querying directories of documents using the raganything library...
Welcome to project! In this repository, you'll find multiple examples of setting up MCP Servers. MCP (Model Context Protocol) is a framework for AI models that enables them to store data, run tools,...
Run Classic ASP on Linux, Windows, and macOS natively with extreme performance.
A practical implementation demonstrating ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.
Lightweight, fast, NativeAOT compatible MCP (Model Context Protocol) framework for .NET
This implementation is based on the Model Context Protocol (MCP) put forward by Anthropic. For more information on MCP, please have a look at their official documentation.
Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.
Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API.
The is a professional-grade Python implementation of the . It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a...
⚠️ : This registry is currently in active development and testing phase. The API and data structure may change. Not recommended for production use yet.
ZhuLing — Zero-config AI Agent framework for Java. One YAML to launch Agents on Spring AI + DDD, with MCP tools, full observability and a ReAct core. Ai Agent 快速开发框架
guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally.
Ollama MCP is a tool for connecting Ollama-based language models with external tools and services using the Model Context Protocol (MCP).