找到适合你的 MCP Server，快速完成接入

A Python server implementing the Model Context Protocol that exposes tools for querying external APIs, compatible with Claude Desktop and ChatGPT Desktop.

MCP Python Test

Repository created via custom MCP Python server

An MCP server for the comprehensive analysis of Swagger 2.0 and OpenAPI 3.x contracts. It allows users to extract detailed information about endpoints, request/response schemas, parameters, and security configurations from API documentation.

MCP qa server

mcp qa server\ 智能客服问答demo

A Model Context Protocol server that provides semantic understanding of codebases using Qdrant vector database, enabling AI assistants to search files by purpose, discover relationships between files, analyze architecture, and identify refactoring opportunities.

MCP Qdrant Docker

Docker configuration for Qdrant MCP server

Create public profiles and make business cards

A server that connects large language models to QR code generation capabilities via Model Context Protocol, supporting multiple content types (URLs, WiFi credentials, contacts, text), output formats, and customization options.

Validates AutoCAD VRD (Roads and Utilities) drawings against graphic standards through automated quality checks for layers, blocks, and conventions. Enables Claude to verify drawing compliance and generate quality reports.

Provides comprehensive code quality tools including linting, security scanning, TypeScript checking, and testing through a single MCP server. Integrates multiple quality analysis tools like Biome, ESLint, and Playwright for streamlined development workflows.

MCP Quanmiao Hotnews

全妙新闻播报MCP Server 是一个基于阿里云百炼API的新闻聚合服务，专注于实时获取热点新闻资讯。

A basic MCP server adapted from the official quickstart guide that provides weather data functionality and works with OpenAI chat completions API. Demonstrates MCP server setup with configuration examples for Claude Desktop and development tools.

MCP qwen

MCP client/server example using qwen3

A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.

An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.

MCP Rag 83ce5d53

RAG system that utilize MCP server

This MCP server enables intelligent API testing automation by combining RAG knowledge retrieval with tool execution capabilities. It allows QA engineers to perform natural language-driven API testing with contextual knowledge support.

A local RAG server that enables document indexing and sentence window retrieval across multiple file formats like PDF, MD, and DOCX. It supports both local Hugging Face models and OpenAI embeddings for efficient context-aware querying through the Model Context Protocol.

Enables AI assistants to search and retrieve information from your knowledge base using RAG (Retrieval-Augmented Generation) with hybrid search, document indexing, and ChromaDB vector storage.

Implements Retrieval-Augmented Generation (RAG) using GroundX and OpenAI, allowing users to ingest documents and perform semantic searches with advanced context handling through Modern Context Processing (MCP).