Office-Word-MCP-Server is a server based on the Model Context Protocol that provides a standard interface for AI assistants to create, read, and operate Microsoft Word documents, supporting rich document editing functions.

A Word document operation server based on the MCP protocol, providing AI assistants with the ability to create, edit, and manage Microsoft Word documents.

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

AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

Memory Bank is a project knowledge management system based on the MCP protocol that automatically generates structured documents through AI to help teams efficiently manage project knowledge.

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.

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.

This is an MCP server for accessing Federal Universe Enhancement Proposal (FEP) documents. By cloning the FEP code repository and exposing tools and resources, it enables AI assistants to read and search FEP documents, solving the access restriction problem caused by Codeberg's anti - AI protection.

ClaudeHopper is an AI-based construction document assistance tool that enables intelligent interaction with construction drawings and specification documents through RAG and hybrid search technologies.

A CLI tool that converts Markdown documents into an MCP server, enabling AI assistants to access and search document content.

An MCP server that provides AI assistants with access to Gemini API documentation, supporting local reading and searching of documents.

Kibela MCP Server is a Model Context Protocol server for the knowledge management tool Kibela, which supports operating documents and folders in Kibela through AI clients.

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

The Feishu Docs MCP Server supports accessing Feishu knowledge bases and cloud documents through the MCP protocol and can be integrated into AI applications.

The enhanced version of the HWPX MCP server is a cross - platform AI document editing tool that supports automatic reading, writing, and editing of Korean documents in HWPX format through the MCP protocol. It solves the key bugs in the original project and adds advanced functions such as nested tables and Mermaid charts.

Archive Agent is an intelligent file indexing tool that supports searching and querying file content through natural language. It combines AI search (RAG engine), automatic OCR, and the MCP interface, and can handle various file types, including text, documents, PDFs, and images.

A memory bank server based on the Model Context Protocol (MCP) for cross - session management of project documents and context, helping AI agents (such as Claude) maintain consistent project knowledge through structured JSON - formatted global and branch - specific memory banks.

The Docmost MCP server is an MCP service that provides AI assistants with direct access to self-hosted Docmost documents, enabling functions such as listing document spaces, full-text search, and obtaining page content through the API.

RAGStack-Lambda is a serverless AI document and media processing platform based on AWS Lambda. It supports uploading documents, images, videos, and audio, builds a knowledge base through OCR, transcription, and vectorization technologies, and provides an AI chat function with source traceability. It adopts a pay-as-you-go architecture with zero idle costs.

Obsidian GitHub MCP is a protocol server that connects AI assistants with Obsidian knowledge bases on GitHub. It supports reading, searching, and analyzing note documents stored on GitHub, enabling intelligent access to knowledge bases and integration with project management.

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

AI Expert Workflow MCP is a model context protocol server based on the OpenRouter API. Through three AI expert roles of product manager, UX designer, and software architect, it provides a complete workflow solution from product planning to technical implementation. The project supports independent generation of PRD documents and can also be integrated with Task Master for task management.

Deep Research MCP is a server project based on the Model Context Protocol (MCP), aiming to conduct comprehensive network research through Tavily's search and crawl APIs and integrate the data into structured Markdown documents to support high - quality content generation for large - language models (LLMs).

A Polish legal document MCP server that provides comprehensive legal provision access, search, and analysis functions, supporting the acquisition of legal documents from the Polish Parliament API and AI - driven legal research.

Content Core is an AI-driven, multi-functional content extraction and processing platform that supports content extraction from various sources such as web pages, documents, audio and video, and provides functions such as intelligent cleaning and summary generation. It supports multiple integration methods such as the command line, Python libraries, and MCP services.

Agent Farm v3.4 is a system based on AI agent evolution and parallel task execution, which realizes task processing through tool - enhanced agents. The new version introduces the chunked write mode, supports the parallel generation of large documents and code files, improves performance by 8.6 times, and uses local models for result synthesis without relying on cloud tokens.

The MCP Document Service is a document management system based on the Model Context Protocol, providing functions such as reading, writing, editing, searching, and health checking of Markdown documents, and supporting seamless integration with AI assistants.

Libragen is a local RAG library construction tool used to connect AI assistants (such as Claude) with your actual documents and code libraries. It reduces AI hallucinations by creating a searchable knowledge base, supports building from local files or Git repositories, and is directly integrated into the AI workflow through the MCP protocol.

A PDF reading tool that supports the MCP protocol, providing the read_pdf function through the MCP server to read PDF documents, suitable for MCP - supported AI tools such as Claude Desktop.

An MCP server that provides access to Fumadocs documents, enabling AI assistants to help users integrate Fumadocs into projects and supporting searching, browsing, and retrieving document content.

A toolkit focused on efficiently crawling and cleaning dependency documents, suitable for human reading and AI processing.

An Outline API server tool based on the Model Context Protocol (MCP), supporting AI agents to programmatically manage entities such as documents and collections in the Outline knowledge base platform.

A flexible MCP server based on Probe for making documents or codebases searchable by AI assistants.

Cursor Buddy MCP is an AI assistant context management tool based on the Model Context Protocol, which helps AI assistants maintain consistent awareness of project standards, conventions, and history. By centrally managing coding rules, project documents, to - do lists, and database information, it enables AI assistants to provide more accurate and consistent responses.

ProjectDocHelper is an MCP server tool used to automatically generate project documents and integrate them with AI development tools through the MCP protocol, improving the accuracy and relevance of AI responses.

Photoshop MCP Server is a service that integrates with Adobe Photoshop through the Model Context Protocol (MCP), allowing AI assistants and other MCP clients to programmatically control Photoshop. It provides functions such as creating, opening, and saving documents, operating on layers, and retrieving session information, and only supports the Windows system.

Mnemo is an MCP service that provides extended memory for AI assistants. Through the context caching function of Gemini, it allows assistants to load large code libraries, documents, PDFs and other materials and conduct natural - language queries, achieving perfect information recall with low cost and low latency.

The ClickUp MCP Server is a server that provides a standardized interface for AI assistants to interact with the ClickUp API, enabling access and management of data such as workspaces, spaces, tasks, and documents.

A server based on the Model Context Protocol (MCP) that connects AI models with the Notion API to enable interactive operations on Notion documents and data.