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.

Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.

This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

MCPBench is a framework for evaluating the performance of MCP servers. It supports the evaluation of two types of tasks: web search and database query, is compatible with local and remote servers, and mainly evaluates accuracy, latency, and token consumption.

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

This is an MCP server that provides access to Ukrainian government procurement data. It implements the tender information search function through the Prozorro system and supports querying by institution code, name, and time range.

MCP service for accessing Google Search Console data

markymark is a language server and AI agent tool for Markdown and structured data files, providing navigation, refactoring, search, and diagnostic functions, and supporting the LSP and MCP protocols.

An MCP server integrating Google Maps API functions, providing map services such as location search, geocoding, distance calculation, and elevation data.

An MCP memory server based on the Qdrant vector database, providing knowledge graph and semantic search capabilities.

An MCP server that provides Notion integration, supporting operations such as page search, creation, update, and database management, enabling seamless interaction between language models and the Notion workspace.

This is an MCP server project that provides access to the official open data portal DATA.GOV.HK of the Hong Kong government, including various tools such as data set querying, category browsing, searching, and format filtering.

The Pulse CN MCP Server is an MCP protocol server that obtains real-time Chinese Internet popular content. It supports hot search data from 18 platforms such as Weibo and Today's Headlines, providing the latest Chinese trend information for AI models.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

An MCP server that provides meeting data management, supporting meeting recording, transcription, calendar event management, and search functions, and can integrate AI assistants for automated meeting management.

The Food Tracking MCP service integrates the OpenFoodFacts database to provide functions such as food search, nutritional analysis, meal planning, and dietary restriction management, helping users record and analyze their diet.

Gramps MCP is an AI - driven genealogy research and management tool that provides direct access to the Gramps genealogy database for AI assistants through the MCP protocol, supporting functions such as intelligent search, data management, and family relationship analysis

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

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.

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 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.

An MCP server that provides Slack search functionality, supporting queries for user, channel, message, and other data.

A remote ChromaDB server based on the Streamable HTTP MCP protocol, providing AI assistants such as Claude with the ability to remotely access the vector database, supporting cross - platform shared memory and semantic search.

An unofficial Reactome MCP server that provides a model context protocol service for accessing Reactome pathway and systems biology data. It includes 8 verified functional tools covering bioinformatics analyses such as pathway search, detail acquisition, gene association, and disease mechanism.

The Vulners MCP Server is a tool that provides access to the Vulners vulnerability database through the Model Context Protocol (MCP), supporting direct query of vulnerability information, CVE search, security bulletin analysis, and software package audit in AI assistants such as Claude Desktop.

A server project based on FastMCP that provides an access interface to Israel's OpenBudget data, supporting query and search of various budget - related datasets.

The Searchcraft MCP Server is a toolset based on the Searchcraft vertical search engine, used to manage documents, indexes, federations, access keys, and analytical data, and supports performing management operations through natural language instructions.

A UK parliamentary data service project based on FastMCP, providing query and semantic search functions for data such as parliamentary members, constituencies, election results, government positions, parliamentary Q&A, and debate records, supporting access through MCP clients such as Claude.

This project implements an MCP server for Elasticsearch, providing tools and resources for interacting with the Elasticsearch cluster, including functions such as index listing, mapping retrieval, and search, and supporting access to Elasticsearch data through the MCP protocol.

This project provides multiple Model Context Protocol servers, including web search, weather query, and memory storage functions, enabling AI models to integrate external tools and data sources.

Skill Retriever is an MCP server based on a graph database, specifically designed for the retrieval and installation of Claude Code components. It automatically indexes component repositories on GitHub, returns the minimum correct set of components and their dependencies based on task descriptions through semantic search and graph traversal algorithms, and supports security scanning and automatic synchronization and updates.

This project implements an MCP server integrated with the TMDB API, providing movie data interaction functions for AI assistants, including searching, getting details, and generating related content.

An MCP server for JIRA data access, providing relationship tracking, optimized data payloads, and AI context data cleaning functions, supporting operations such as issue search, creation, update, and attachment management.

An MCP server that provides Korean beauty (K-Beauty) information, supporting real-time search, brand database, ingredient analysis, and AI skin photo analysis. It includes more than 58 brands and personalized skincare recommendations.

An intelligent stock data query and analysis service based on the MCP protocol, providing functions such as stock information query, financial analysis, and industry search, and supporting natural - language interaction.