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MCP 工具与服务目录

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按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

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87,640

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最近生成

2026-05-22

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A local Retrieval-Augmented Generation system that enables users to ingest markdown files into a FAISS-powered vector knowledge base for semantic search. It provides tools for document indexing and context retrieval to support informed LLM queries without external dependencies.

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Fabric MCP Server: Seamlessly integrate Fabric AI capabilities into MCP-enabled tools like IDEs and chat interfaces.

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Provides comprehensive tools for enterprise searching, channel statistical analysis, and dealer network mapping to help users evaluate market coverage and competitive positioning. It enables detailed industry benchmarking and provides insights into sales strength, brand influence, and distribution efficiency.

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A Model Context Protocol server that enables flight searching, booking, and payment processing. It also provides access to resources like user profiles, pricing rules, and company travel policies.

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Enables semantic search and question-answering over FAQ documents using RAG (Retrieval-Augmented Generation) with OpenAI embeddings and in-memory vector similarity.

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A zero-configuration tool that automatically converts FastAPI endpoints into Model Context Protocol (MCP) tools, enabling AI systems to interact with your API through natural language.

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Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

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This repo covers LLM, Agents concepts both theoretically and practically: LLMs, RAG, Fine Tuning, Agents, Tools, MCP, Agent Frameworks, Reference Documents, Links

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An MCP server that integrates with FastMail's JMAP API to manage mailboxes, search for emails, and send messages. It enables users to interact with their FastMail account for tasks like reading email content and managing folders through natural language.

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Enables interaction with Google Docs through a FastMCP server, allowing users to list, read, and create documents. It leverages the Google Docs and Drive APIs to provide seamless document management via Gemini-CLI.

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Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

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Enables querying and analysis of FedRAMP documentation, compliance requirements, and security controls through structured tools that search markdown guidance, analyze FRMR datasets, and track regulatory changes.