热门好用的 MCP Server 推荐
按分类、安装方式和来源搜索比较 MCP Server。

CarryCode is a terminal-native AI coding agent that helps you write, refactor, debug, and understand code — all through natural conversation.

The first open-source project that turns the most powerful code agents, such as ANTHROPIC ClaudeCode and OpenAI Codex into Background Agents, accessible via REST API, a user interface, and MCP

A comprehensive collection of examples demonstrating how to build AI agents that integrate with the Xero API using various agentic frameworks and the Xero MCP (Model Context Protocol) Server.

This Guidance demonstrates how to build AI-powered development workflows using Amazon Bedrock AgentCore and the Model Context Protocol (MCP).

A universal plugin framework for development tools that enables seamless browser-server communication and MCP (Model Context Protocol) integration with AI/LLM systems.

A Model Context Protocol server and target-native installer for governed Spec-Driven Development (SDD) in Claude Code, Codex, and Oh My Pi (OMP).

🚀 - OpenFOAM Model Context Protocol server with AI-powered educational capabilities including Socratic questioning, context engineering, and systematic error resolution.

ABAP MCP - Model Context Protocol - Server SDK

Emacs Lisp implementation of the Model Context Protocol

Real-time Slack ingest and MCP server to power your agentic Slack bots

Welcome to the Pomerium Chat, a minimal chat application for showcasing remote Model Context Protocol servers secured with Pomerium.

RefactorMCP is a Model Context Protocol server that exposes Roslyn-based refactoring tools for C#.

A Fastify plugin that implements the Model Context Protocol (MCP) server using JSON-RPC 2.0. This plugin enables Fastify applications to expose tools, resources, and prompts following the MCP...

Use Breakcold as a remote Model Context Protocol server from AI tools such as Claude, ChatGPT, Codex, OpenClaw, Hermes, TypingMind, LM Studio, LibreChat, and Microsoft 365 Copilot.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python.

A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application...

Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.

Python boilerplate for creating AI agents, MCP servers, API microservices and monolith services. All in one!

Cesium AI Integrations is a collection of reference integrations, experiments, and patterns that connect the Cesium ecosystem with AI systems such as LLMs, retrieval pipelines, and agent workflows.

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore.

A comprehensive demonstration project featuring a realistic PostgreSQL dataset for , a fictional home improvement retail company, combined with three specialized Model Context Protocol (MCP) servers.

A Middy middleware for Model Context Protocol (MCP) server integration with AWS Lambda functions.

Automated security scanner for Model Context Protocol servers that detects RCE, path traversal, prompt injection, and protocol vulnerabilities.

is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, Model Context Protocol (MCP), Reasoning models, vector databases, and more.