Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.

The Exa MCP Server is a server that provides web search capabilities for AI assistants (such as Claude), enabling real-time and secure web information retrieval through the Exa AI Search API.

Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

A web research MCP server designed for Claude, providing real - time web information retrieval functions

A persistent memory server based on a knowledge graph, supporting cross - session storage and retrieval of user information

The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

An MCP server for web research that integrates Google Search, web page content extraction, session tracking, and screenshot functions to help Claude conduct real-time information retrieval.

A recipe query service based on the MCP protocol, supporting the retrieval of all dish lists and specific recipe information.

The YouTube MCP Server is a service that implements the Model Context Protocol (MCP). It provides a standardized interface for AI language models to interact with YouTube content, supporting functions such as video information retrieval, subtitle management, channel and playlist operations, etc.

This project is an integrated MCP server suite with various functions, including media tools, information retrieval, PDF generation, and presentation creation services, which need to be configured and run separately.

The Medical MCP Server is a dedicated server based on the Model Context Protocol (MCP) that provides AI assistants with access to medical data and medical information tools, including functions such as drug information query, medical literature retrieval, and health topic access.

An MCP server that allows Claude Desktop to execute terminal commands, supporting command execution, directory navigation, and environment information retrieval.

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.

A hierarchical RAG MCP server based on 299 podcast transcripts of Lenny Rachitsky, supporting semantic search and progressive information acquisition for product development brainstorming and knowledge retrieval.

An MCP server that provides news retrieval and search functions for The Verge

Implementation of the Twitter MCP service, providing API integration functions such as tweet posting, searching, and user information retrieval.

ArtistLens is a powerful MCP server that provides access to the Spotify Web API, supporting functions such as music search, artist information retrieval, and playlist management.

An MCP server based on the Gemini API and Google Search, which provides intelligent answering functions for the latest information when used in conjunction with an AI assistant (such as Cline).

aica is an open - source, customizable, cross - platform AI code analysis tool that supports functions such as code review, automatic knowledge retrieval, and commit information generation, and can be integrated with GitHub Actions.

The MCP service of Bangumi TV provides access to the BangumiTV API, supporting queries for information on entries such as anime, manga, music, and games, including entry details, characters, personnel, and related data retrieval functions.

MCP-Memos is a memo tool based on the MCP protocol, designed specifically for developers. It supports quick recording and retrieval of text information without switching applications. It uses large language models to provide powerful fuzzy search capabilities, including semantic understanding, context awareness, and natural language query functions.

Relay is a simple tool for transferring information such as files, code, and data between Claude Desktop and Claude Code, maintaining their independent contexts and enabling collaboration through a user - controlled retrieval mechanism.

An MCP server that provides access to the Protein Data Bank (PDB), supporting functions such as structure search, information retrieval, file download, and quality assessment.

dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.

An MCP server for interacting with the Clover API through OAuth authentication, supporting the retrieval of merchant data, inventory, and order information.

The Shared Knowledge MCP Server is a middleware that provides unified knowledge base services for multiple AI assistants, enabling efficient information retrieval and sharing through RAG technology.

An MCP service for operating Android devices via ADB, supporting functions such as app management, screen control, input gestures, and device information retrieval, and can integrate visual models for screen content analysis.

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.

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

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

TeaRAGs is a semantic code search MCP server designed for coding agents. It supports large - scale codebases through AST - aware chunking and incremental indexing, and uses Git trajectories (such as 19 signals including code changes, author information, and defect repair rates) for intelligent re - ranking, surpassing traditional embedding similarity retrieval.

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.

The UniProt MCP Server is a service that provides protein information queries, supporting the retrieval of protein function and sequence information through UniProt numbers.

This is an MCP+RAG proof-of-concept project for the oil and gas industry. It automatically distributes user queries to the correct domain services (such as drilling, production, procurement, etc.) through intelligent routing and combines hybrid retrieval technology to obtain accurate information from documents, providing answers with references to achieve fast and unified access to cross-domain data.

An MCP server based on the Perplexity API that provides web search functionality for AI assistants, supporting time filtering and result citation.

The Mem0 MCP server is a model context protocol service that provides persistent memory capabilities for LLMs. It supports both cloud and local storage modes, enabling cross - session information storage and retrieval.

This is an MCP server project based on the note.com API, allowing access to note.com functions via Claude Desktop, including article search, user information retrieval, article publishing, comment management, etc. It supports both authenticated and non - authenticated modes, providing rich API tools and data analysis functions.

A locally run RAG - style Model Context Protocol (MCP) server for web search. It can provide the latest web information retrieval function for models such as Claude without using an API.

PubTator MCP Server is a biomedical literature annotation and relationship mining server based on PubTator3, providing convenient literature retrieval, annotation information acquisition, and entity relationship analysis functions for AI assistants through the MCP interface.

An MCP service for Unsplash image search and retrieval implemented in Go, providing functions such as keyword search, random image retrieval, and detailed image information query, supporting multiple connection modes and rich filtering options.