The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

The MCP service for Flux UI component reference, providing query functions for component documentation and examples

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.

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

An MCP server that provides Julia documentation and source code query services for Claude Desktop

An MCP server that integrates multi - platform programming resources, providing code search, documentation query, and package management functions

This project sets up an MCP server for querying World Mini Apps documentation and integrating it with Cursor to help developers develop MiniApps more efficiently.

The MCP service for Ant Design components provides support for component documentation query and code generation for large language models

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 implements an MCP server based on the FAISS vector database, supporting the Retrieval Augmented Generation (RAG) function, including a complete workflow such as GitHub file download, document indexing, local query, and LLM integration.

The FedRAMP Docs MCP Server provides a structured query and analysis tool for the official FedRAMP document library, supporting FRMR dataset indexing, document search, and version comparison functions

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

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.

An MCP server that provides documentation query services for Ant Design components, allowing large language models to explore and understand the Ant Design component library through dedicated tools.

The remote MCP server provided by Jina AI offers functions such as web content extraction, web search, academic search, image search, query expansion, document re - sorting, and deduplication through the Reader, Embeddings, and Reranker APIs.

A Vercel AI SDK documentation query proxy service based on the MCP protocol, providing AI-driven document search and Q&A functions, and supporting integration with MCP clients such as Claude Desktop.

MCP Advisor is a server that provides access to the complete Model Context Protocol specification. It helps LLMs and humans understand the MCP specification through prompts and resources, including JSON schemas and detailed documentation.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

An MCP service that provides NPM package documentation and metadata query, supporting local caching to improve performance.

An experimental MCP service for the OXC parser, providing code parsing, documentation query, and error checking functions

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 Zhiyan Platform is an open - source platform for agent communication and development, aiming to help AIGC enthusiasts better understand and develop Agents. The platform provides a variety of default Agent functions, such as email sending, information search, weather query, paper search, express delivery query, and document retrieval, and supports users to customize tools. The project supports quick startup and Docker deployment, and plans to add a tool store and automatic build functions in the future.

An MCP server based on Deno and TypeScript that provides context information query functions for Terragrunt documentation and GitHub issues, aiming to improve the Terragrunt development experience and the accuracy of AI-assisted tools.

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.

An MCP server that provides access to Marimo documentation, supporting API documentation queries and search functionality.

An intelligent query generation and documentation assistance server based on Claude AI, providing intelligent services by analyzing API documentation.

The OpenSearch MCP service is a model context protocol server for OpenSearch integration, providing functions such as index management, cluster management, and document search.

The Firebolt MCP Server is a service that implements the model context protocol, which can connect LLMs (large language models) with the Firebolt data warehouse, enabling AI assistants to directly query data, generate insights, and access documentation resources.

The Next.js documentation MCP server provides AI agents with a complete database of Next.js documentation URLs, supporting intelligent document selection and query analysis

An MCP server that provides multi-language package documentation query and Language Server Protocol support

An MCP service that provides local Markdown document query services for LLMs

A project that runs a Model Context Protocol (MCP) server, encapsulates the CodeQL query server, and supports interaction with CodeQL through structured commands and document search.

An MCP server based on TypeScript that implements a Retrieval Augmented Generation (RAG) system for local documents, supporting querying and indexing of Git repositories and text files.

An MCP server that provides documentation query services for Rust code

An MCP server that provides documentation query services for Rust crates

A Godot documentation query assistant based on Retrieval Augmented Generation (RAG), achieving intelligent Q&A through vectorization technology and semantic search.