DevDocs is an intelligent document crawling and processing tool designed to help developers quickly understand and implement technical documents, significantly shortening the R & D cycle.

HWP-MCP is a protocol service that enables AI models to control HWP documents, supporting document creation, editing, and automation processing.

The Pinecone MCP Server is a model context protocol server designed for Claude Desktop, providing read and write interaction capabilities with Pinecone indexes.

Claude Talk to Figma MCP is a plugin based on the Model Context Protocol that allows AI tools such as Claude Desktop to directly interact with Figma, enabling AI-assisted design capabilities. The project connects the AI client and the Figma plugin through a WebSocket server, supporting design operations such as document analysis, element creation and modification, and text processing.

The enhanced Markdownify MCP UTF-8 is a Markdown processing service that supports multilingual content conversion. It optimizes UTF-8 encoding support, provides Markdown conversion capabilities for various formats such as PDF, images, audio and video, and Office documents, and is specifically optimized for the Windows system.

The FHIR MCP Server is a medical data management server based on the FastMCP framework, providing a complete implementation of the Model Context Protocol (MCP) and supporting the interaction between LLM agents and FHIR-compatible backends. It provides standardized interfaces, supports comprehensive CRUD operations on FHIR resources, and implements intelligent document processing and semantic search through a series of tools.

LegalContext is an open - source MCP server that securely connects the Clio document management system with the Claude AI assistant, enabling local legal document processing and retrieval.

An MCP server for obtaining and searching third - party software package documentation, supporting multi - source scraping, intelligent processing, and hybrid search.

A high-performance PDF to Markdown service based on MCP, supporting batch processing of local files and URLs, retaining the document structure and intelligently optimizing the output.

ChatPPT is an AI - driven presentation generation service that supports generating PPTs according to themes or requirements, automatically creating PPTs by uploading documents, and provides online editing and download functions. Its MCP server supports 18 intelligent document processing APIs, covering various scenarios such as PPT production and resume analysis.

The MCP server for handwritten OCR, providing functions such as document upload, status check, and text retrieval

The Feishu MCP Plugin is a service that connects Feishu with AI coding tools (such as Cursor), providing functions such as document reading, message sending, and contract approval, and supporting operation through self - built application authorization.

A Python tool for converting CHM help files to Markdown format, supporting code highlighting, table preservation, and batch processing, facilitating version management of technical documents.

Bookworm is a toolset for processing docs.rs documentation, including functions such as downloading, indexing, and querying documentation, and provides an MCP service interface for LLM calls.

An MCP server that provides unstructured document processing capabilities, supports multiple file formats, and helps LLMs extract and utilize document content.

This project is a document processing server based on the Model Context Protocol (MCP) standard. By building a vector database and an MCP interface, it enables AI assistants to access external document resources and break through the knowledge limitations of large language models. The project includes two major components: a document processing pipeline and an MCP server. It supports multiple embedding models and file formats and can be applied to scenarios such as querying the latest technical documents and understanding private code libraries.

A document indexing system based on PostgreSQL and pgvector, supporting AI - driven semantic search, including functions for crawling, processing, and querying documents.

Zed's PDF semantic search extension, integrating an AI assistant to enhance document processing capabilities

The Feishu MCP Server is a service based on the Model Context Protocol that provides Feishu API integration, enabling AI models to easily interact with Feishu services.

A documentation management system based on the Model Context Protocol (MCP), providing functions such as resource templates, documentation processing, task management, and integration testing.

A high-performance local RAG system based on Rust, integrated with Claude Desktop via the MCP protocol to achieve local processing, semantic search, and privacy protection of PDF documents.

The official Feishu/Lark OpenAPI MCP tool encapsulates platform API interfaces and supports AI assistants to directly call and implement automated scenarios such as document processing and session management

The Dart MCP Server is an implementation of the model context protocol (MCP) server based on Dart, providing functions for task management, document processing, and space organization, and supporting integration with AI assistants.

The Insights Knowledge Base (IKB) MCP Server is a free, plug-and-play knowledge base project with over 10,000 high-quality insight reports built-in. It supports local secure storage and private document processing. The project requires no configuration, is free forever, and is committed to updating report resources weekly.

This project provides an OpenAPI specification processing server based on the MCP protocol, which supports dividing large OpenAPI files into multiple small files or extracting specific interfaces to generate new files, facilitating programmatic operations on API documentation by clients such as AI assistants.

An MCP server for document retrieval and processing based on vector search, providing document enhancement functions for AI assistants

An AI-based Word document processing service based on FastMCP

An enhanced Readwise MCP server that integrates Readwise Reader document management and a complete highlighting function, providing intelligent text processing and context - optimized responses, and is compatible with all MCP client tools.

The Upstage MCP Server is a server that connects AI assistants with the Upstage AI document processing API. It supports extracting structured content from PDFs, images, and Office files and integrates with MCP clients such as Claude Desktop.

An MCP server that provides comprehensive document processing capabilities

This project is a multi-channel platform assistant integrated with n8n, used to search n8n documentation, example workflows, and community forums, supporting asynchronous processing and HTML content extraction.

A Docx document processing service based on the FastMCP library, supporting the creation, editing, and management of Word documents through an AI assistant

A repository containing a variety of practical MCP services, providing services such as Git, Google Sheets, Jenkins, and file operations, along with development tutorials

A Python-based document processing and Retrieval Augmented Generation (RAG) server that uses the DuckDB database to store embedding vectors, supports multiple file format processing, and provides a Web interface and API.

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human-like long document reading, analysis, and navigation capabilities, supporting multi-format document processing and intelligent search functionality.

An MCP server that provides relevant Ethereum Improvement Proposals (EIP) content for AI agents through semantic search, supporting Markdown document processing and vectorized retrieval.

The RAG Document MCP Server is a vector search-based document processing tool that provides document retrieval and context enhancement functions for AI assistants.

A set of Python tool servers implementing the MCP protocol, providing function extensions such as YouTube data processing, Word document processing, and chart rendering for AI assistants.

A multi - functional document processing MCP server that supports scraping, processing, and intelligently retrieving third - party software package documentation from multiple sources, integrates the OpenRouter multi - model API, and provides hybrid search capabilities.

DocNav is a document navigation server based on the MCP protocol, providing LLM agents with human - like document reading, analysis, and navigation capabilities, supporting multi - format document processing and intelligent search.