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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

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.

文档知识stdio

全面解析Document Crawler & SearchMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Document Crawler & Search能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

安装状态

已补齐

命令预览

pip install -r requirements.txt

数据服务未说明

MCP server to interact with the DocumentDB database and perform basic operations. The module has some specifications, based on the business rule we are working on, to manage product catalogs.

文档知识未说明

Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.

文档知识未说明

Enables AI agents to generate professional Word and PDF documents with support for Markdown, syntax highlighting, and smart pagination. It features automatic JSON detection and responsive A4 formatting for creating high-quality technical reports and manuals.

文档知识未说明

Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It includes features for formatting documents to Markdown and accessing document-specific resources.

文档知识未说明

Enables systematic document organization with PDF-to-Markdown conversion, intelligent categorization, and automated workflow management. Supports project documentation standards and provides complete end-to-end document processing pipelines.

文档知识未说明

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

数据服务未说明

An MCP server that enables users to query documents from Google Drive using AI assistance, providing tools for searching vector databases and generating answers based on document content.

文档知识未说明

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

文档知识未说明

Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.

文档知识未说明

Enables interaction with DocuSeal instances to manage document templates, create signature requests, and track submission statuses. It provides tools for uploading PDFs, managing submitters, and downloading signed documents via the DocuSeal API.

文档知识未说明

A comprehensive Model Context Protocol server that processes Microsoft Word documents with full formatting support, enabling text extraction, HTML/Markdown conversion, structure analysis, and image extraction.

文档知识stdio

全面解析DocxprocessorMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Docxprocessor能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。

文档知识未说明

Enables Word document generation from templates using Jinja2 syntax and parsing of DOCX, PDF, and Excel files to extract structured content, metadata, and text.

文档知识未说明

PDF/DOCX/Excel generation from HTML/Markdown with stationery overlay, ZUGFeRD/XRechnung e-invoicing, digital signing, form filling, and AI receipt OCR with DATEV/SKR03 export.

数据服务未说明

TypeScript MCP server for accessing Department of Labor enforcement data, OSHA inspections, and SAM.gov contract opportunities via natural language queries.

数据服务未说明

Enables LLMs to explore database schemas, execute read-only SQL queries, and perform data analysis on Apache Doris or MySQL-compatible databases through a standardized MCP interface with built-in analytical prompts.