The Cyb MCP Server is a server for interacting with the Cyber decentralized knowledge graph, supporting the creation of knowledge links, content search, and retrieval of data from IPFS.

The LeetCode MCP Server is an intelligent service that provides LeetCode API integration, supports global and Chinese sites, and enables problem queries, user data retrieval, and automated operations.

The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

MCP Goodnews is an MCP application that retrieves news through the NewsAPI and uses Cohere LLM for sentiment analysis and ranking to return positive news.

MCP - URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access URLs, simplifying the process of generating and sharing web page snapshots.

A memory server implementing the Model Context Protocol (MCP), providing persistent memory storage and retrieval functions based on a knowledge graph for large language models.

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.

UIThub MCP Server is a GitHub repository content interaction service designed for Claude, which can intelligently retrieve and analyze code library content through the API.

MCPollinations is a multimodal AI service based on the Model Context Protocol (MCP) that supports generating images, text, and audio through the Pollinations API. It offers a lightweight service that does not require authentication, is compatible with multiple AI models, and supports image saving and Base64 encoding return.

A local STDIO MCP server that provides tools for searching and retrieving Google Gemini API documentation, supporting full-text search and automatic content updates

LMStudio-MCP is a model control protocol server used to establish a communication bridge between Claude and the locally running LM Studio LLM models, enabling functions such as model health check, list retrieval, and text generation.

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.

This project is a tool that allows LLMs to directly access Google Spreadsheet data through a Model Context Protocol (MCP) server, providing functions such as spreadsheet information retrieval, data format conversion, and integration with MCP clients.

The Scrapeless MCP Server is an open - source protocol project that seamlessly integrates LLM applications with external data sources and tools (such as Google Search) in a standardized way, providing dynamic context retrieval capabilities.

A tool based on the MCP protocol for querying and using the GitHub GraphQL API, providing functions such as precise data retrieval and reduced token consumption, and supporting multiple languages.

This project demonstrates how to use Go language to create a server based on the Model Control Protocol (MCP) and deploy it via a Docker container. This MCP server provides a tool that allows LLMs to retrieve web content through the curl command, thereby enhancing the functionality of LLMs.

This project demonstrates how to use Google's Gemini 2.5 Pro model to interact with the flight search tool under the MCP protocol through the function call feature, enabling natural language queries for flight information and returning formatted results.

A tool that provides the latest documentation of npm packages for the IDE. It retrieves README documentation from GitHub repositories or npm packages to ensure that developers obtain real - time updated package information.

An MCP server project that retrieves data from Google News and Trends RSS endpoints and optionally processes it through LLM/NLP

A lightweight MCP server running inside GDB, proxying the execution of GDB commands via the gdb-command tool and returning text output, communicating based on the SSE protocol

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.

An advanced medical literature research tool based on the PubMed database, providing functions for searching, analyzing, and retrieving academic medical papers, including literature search, obtaining detailed metadata, generating citations, and researcher statistics.

The Dify Knowledge Base Retrieval Tool is a Go language tool for interacting with the Dify platform's knowledge base, supporting local or binary installation.

MCP Goodnews is an MCP application that retrieves news through NewsAPI and uses Cohere LLM for sentiment analysis and ranking, returning positive news.

A hybrid retrieval and navigation tool for RimWorld source code and XML definitions, combining lexical, semantic, and graph structures, supporting AI assistant calls

The MCP RAG Server is a retrieval-augmented generation service based on the Model Context Protocol. It automatically indexes project documents through local tools (ChromaDB and Ollama) and provides context enhancement capabilities for connected LLMs.

mcp-rag-server is a service based on the Model Context Protocol (MCP) that supports Retrieval Augmented Generation (RAG) and can index documents and provide relevant context for large language models.

The SupaUI MCP server is a UI component generation and management service based on natural language interaction, supporting the creation, retrieval, and browsing of React components through descriptions.

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.

Memento MCP is a knowledge - graph - based LLM memory system that provides semantic retrieval, context recollection, and time awareness functions, supporting long - term persistent storage and efficient retrieval.

MCP URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access links. This project simplifies the process of generating and sharing web page snapshots and is suitable for integration into AI applications such as Claude Desktop or automated workflows.

The Mermaid documentation MCP service is a server for generating Mermaid diagrams, providing diagram list query and documentation content retrieval functions.

The OracleDB MCP Server is a server that provides Oracle database table/column context to LLMs, supporting interaction with the database through LLM prompts, generating SQL statements, and returning results.

This is an MCP server project based on Spring Boot and Spring AI, specifically designed for querying Java conference information. It obtains conference data by parsing public README files on GitHub and provides utility functions for AI models to retrieve information such as conference names, CFP links, locations, and CFP status.

This project is a list of MCP servers implemented in Go, including multiple services for natural language processing and database interaction, such as text-to-SQL and knowledge base retrieval. It supports multiple platforms, is open-source, and free of charge.

godoc-mcp-server is a tool for searching Go language packages and their documentation. It retrieves information from pkg.go.dev and serves as an MCP server for LLMs. It supports local cache, multi - platform distribution, and provides detailed parameter descriptions to optimize the LLM interaction experience.

MCP Apple Notes is a service based on the Model Context Protocol that can perform semantic search and Retrieval Augmented Generation (RAG) on Apple Notes, enabling AI assistants like Claude to reference users' notes in conversations.

An unofficial Reactome MCP server that provides model context protocol services for accessing Reactome pathway and systems biology data. It includes 8 verified functional tools, supporting operations such as biological pathway search, detailed information retrieval, and gene-associated pathway lookup.

A local MCP server that provides tools for searching and retrieving Magento 2 GraphQL API documentation, supporting offline operation, full - text search, code example lookup, and tutorial navigation.

The Unified MCP Tool Graph is a research - driven project that provides an intelligent infrastructure layer for large language models (LLMs) and agent AI systems to dynamically retrieve the most relevant tools by aggregating and structuring tool APIs from different MCP servers into a centralized Neo4j graph database.