Token导航 LogoToken导航

MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

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。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

数据服务未说明

Enables comprehensive management of DEVONthink records and databases, including searching, creating, and modifying content via JXA. It also integrates bibliography metadata resolution to link DEVONthink attachments with Zotero-exported citation data.

数据服务未说明

Enables querying the Drug Gene Interaction Database (DGIdb) through natural language, allowing users to search for drug-gene interactions, gene information, and drug attributes directly from Claude Desktop.

数据服务未说明

Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

数据服务未说明

A small MCP server that manages a product inventory using SQLite, providing CRUD operations through exposed MCP tools.

数据服务未说明

An extension that implements the Model Context Protocol for Directus, enabling AI tools and LLMs to interact with Directus content through natural language for content editing, data analysis, and asset management.

数据服务未说明

D\&D 5e SRD MCP server - monster search, spell lookup, encounter building, and character tools powered by ground-truth SRD data

文档知识未说明

A universal MCP server for document processing, conversion, and automation. Handle PDF, DOCX, HTML, Markdown, and more through a unified API and toolset.

文档知识未说明

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

文档知识未说明

docshelf-mcp manages AI-friendly document collections — converts PDFs and Markdown into chapter-split shelves with a single navigation INDEX, so AI agents can fetch only the relevant section by raw URL instead of choking on a 4 MB datasheet. Repo: https://github.com/ignatenkofi/docshelf-mcp

文档知识未说明

Indexes documentation sites by base URL and serves keyword search, optional semantic search, and Markdown page retrieval as MCP tools, all from a single SQLite file.

文档知识未说明

An MCP server that enables searching for Rust crates and their documentation from docs.rs, allowing AI agents to find required crates and access the latest documentation.

数据服务未说明

Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.

文档知识未说明

Generated content to Google Docs to WordPress while preserving formatting and structure for a streamlined content workflow.

文档知识未说明

A TypeScript-based document processing server that supports various document formats (.docx, .pdf, .xlsx) and integrates with Model Context Protocol SDK for efficient document context management.

文档知识未说明

A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.

文档知识未说明

Enables AI assistants to generate professional documentation using structured templates based on the POWER framework. Provides access to standardized templates for README, architecture, API, components, and schema documentation.

文档知识未说明

Enables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.

文档知识未说明

Enables conversion between multiple document formats including Markdown, HTML, TXT, PDF, and DOCX with automatic format detection. Supports high-fidelity document transformation while preserving content integrity.