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.

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.

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.

A document Q&A MCP server based on Langflow that provides a document query interface implemented in TypeScript and supports integration with Claude Desktop.

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

Magic-API MCP Server is a model context protocol server designed specifically for Magic-API development, providing a complete development toolchain, including documentation query, API call, resource management, debugging, and backup functions, to help developers efficiently build and manage Magic-API interfaces.

This project is a Python - based implementation of the MCP (Model Context Protocol) server and client, aiming to provide standardized interfaces for AI models, unify the tool call formats of different large - model vendors, and integrate document search functions for multiple AI frameworks.

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.

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.

FreeCAD MCP provides a simplified server-client interface for interacting with FreeCAD, supporting command execution and document information retrieval.

An intelligent documentation search server built on FastMCP that supports documentation search across multiple popular frameworks and libraries, providing a unified interface for AI systems to quickly obtain relevant information.

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

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.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

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.

The NiFi MCP project provides a chat interface based on natural language interaction, allowing users to interact with Apache NiFi instances through LLM models, supporting querying, documenting, and operating NiFi components.

The MindManager MCP Server is a service implementation based on the Model Context Protocol (MCP), providing a standardized interface for the `mindm` library to interact with MindManager on Windows and macOS. It allows for the programmatic operation of elements such as mind map documents, topics, and relationships through the MCP protocol and supports exporting mind maps to multiple formats for use by LLMs.

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.

The OpenTK MCP Server is a standardized interface that connects large language models with Dutch Parliament data. It is built on Bert Hubert's OpenTK project and provides access to Dutch Parliament documents, debates, and member information.

A memory bank server based on the MCP protocol, supporting multi - project isolation and Markdown document management, providing tool call interfaces for large language models.

An MCP server for interacting with Meilisearch through LLM interfaces (such as Claude), providing index management, document operations, search functions, and system monitoring.

The Dart MCP Server is the official AI model context protocol server for the Dart project, providing AI interfaces for task and document management.

This is an MCP server for the IBM FileNet content manager, providing a standardized interface for AI models and supporting functions such as document management, folder operations, metadata query, and search.

The Perplexity AI MCP Server project provides a standardized interface to access the features of Perplexity AI, including chatting, searching, and document retrieval.

Flexible GraphRAG is a flexible platform that supports multi - data source document processing, automatic knowledge graph construction, hybrid search (full - text, vector, graph), and AI Q&A. It includes a FastAPI backend, an MCP server, and various front - end interfaces.

The AFFiNE MCP server is a middleware based on the Model Context Protocol, providing seamless integration with self - hosted or cloud - based AFFiNE instances, and supporting more than 30 functions such as document, workspace, and user management through a standardized interface.

MCP service tool for Paperless - NGX, providing API interfaces for document management

The Roblox Studio MCP server is a TypeScript implementation designed specifically for Roblox Studio development, providing resources, tools, and prompts, and supporting LLM applications to access Roblox Studio documentation, templates, and code generation features through standardized interfaces.

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.

This is an FDIC bank data query service based on Rust, providing a standardized MCP interface, supporting fast generation of API endpoints, automated documentation, and parameter validation.

A document storage and retrieval system based on FastAPI and ChromaDB, providing API interfaces to manage collections and documents and supporting MCP service integration.

A Node.js-based blockchain interaction server for the Monad testnet, providing REST API interfaces to implement common blockchain operations, supporting Docker deployment and Swagger documentation.

A lightweight SharePoint MCP server that provides a standardized interface for document and folder management and supports seamless integration with MCP clients such as Claude.

This project is an implementation of a Model Context Protocol (MCP) server interface for Rust documentation on Docs.rs, which can expose Rust documentation content to MCP - compatible clients (such as the Claude desktop version). Currently, the project has stopped maintenance but is still functional.

The Odoo MCP Server provides high - security JSON - RPC access to Odoo 18.0 and an Extract API interface for OCR document parsing, supporting model querying, record operations, and document extraction functions.

This project implements a MongoDB service interface based on the MCP protocol, providing standardized operations such as collection management and document query, supporting database functions like filtering and projection, and including secure connection and logging mechanisms.

A key phrase extraction MCP server based on the BERT model, which extracts high-quality key phrases from text through a natural language interface and supports document analysis and AI workflow integration

Futuur API MCP Integration is a TypeScript-based server project that implements the Model Context Protocol (MCP) for seamless integration with the Futuur API. This project provides powerful interfaces for market data, category management, user information, and betting operations. It uses a modular tool architecture and includes comprehensive documentation resources.

An MCP server based on the Torna interface documentation management platform, providing document pushing and querying functions, and supporting integration with LLMs for API documentation management.

The Perplexity AI MCP Server project provides standardized interfaces to access the functions of Perplexity AI, including chatting, searching, and document retrieval.