A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.

The MCP MongoDB Server is a model context protocol service that allows LLMs to interact with MongoDB databases, providing functions such as collection schema checking, query execution, and intelligent ID handling, and supporting read - only mode and security configuration.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

An advanced PocketBase MCP server that provides comprehensive functions such as database interaction, collection management, and user authentication

An advanced PocketBase MCP server that provides comprehensive database operation tools, including collection management, record operations, user authentication, and database maintenance functions.

The Malaysia Open Data MCP service provides convenient access to government datasets and collections, supporting enhanced unified search, Parquet file parsing, hybrid data access architecture, and multi - provider geocoding functions.

The LinkedIn data collection MCP server authenticates by manually entering the account password and uses Selenium browser automation technology to scrape the complete information of LinkedIn profiles, including work experience, education background, skills, and contact information.

Xcatcher is a high - performance X (Twitter) data scraping service based on the remote MCP protocol. It supports pay - as - you - go with USDC on the Base and Solana chains via the x402 protocol, provides OpenAPI specifications for easy integration of AI agents, and focuses on the rapid collection of the latest posts of a large number of users.

This is a collection of MCP servers focused on the medical field, covering various medical - related MCP service implementations such as PubMed literature retrieval, access to medical preprints, FHIR data interaction, DICOM medical image processing, protein structure analysis, medical computing tools, and integration of medical education resources.

A community-maintained MongoDB MCP server that provides read-only access to MongoDB databases, supporting collection schema checking and aggregation pipeline execution.

This project implements an MCP server based on pyATS and Genie, providing structured, model-driven network device interaction capabilities through the JSON-RPC 2.0 protocol. It supports the secure execution of CLI commands, configuration changes, and data collection, and is suitable for containerized or LangGraph integration scenarios.

This is a Weibo hot search data collection server based on the MCP framework, providing functions to obtain hot search lists, hot search details, and comments.

The Devici MCP Server is a model context protocol server used to interact with the Devici API, providing LLM tools to manage users, collections, threat models, components, threats, mitigation measures, teams, and dashboard data.

Pare is a collection of MCP servers that provide structured CLI outputs for AI agents. It converts the outputs of common development tools into reliable, schema-validated JSON data, avoiding the problem of agents parsing fragile terminal text.

This project is a collection of MCP tools for Claude, including three servers for news search, Wikipedia query, and data analysis, used to extend Claude's capabilities.

This project is a comprehensive collection of Model Context Protocol (MCP) servers, aiming to enhance the capabilities of AI models through standardized integration, covering multiple fields such as databases, network automation, and development tools.

The AnySite MCP Server is a multi - platform network data collection tool based on the model context protocol, supporting platforms such as LinkedIn, Instagram, Reddit, and Twitter. It provides real - time, structured network data access capabilities for AI agents.

The Meta API MCP Server is a multi - API gateway server that connects various APIs with large - language models (such as Claude, GPT, etc.) through the Model Context Protocol (MCP), enabling AI assistants to directly interact with APIs and access real data sources. It supports quickly adding APIs from JSON configuration files or Postman collections, and provides comprehensive support for HTTP methods and multiple authentication methods.

The MongoDB MCP Server is a service that allows LLMs to directly interact with MongoDB databases, supporting querying collections, checking schemas, and managing data.

This is an MCP protocol-based MongoDB query server for querying collection documents in MongoDB databases.

An MCP server for Aranet4 CO2 sensors, supporting device scanning, data collection and storage, historical query, and visualization functions, and providing AI - assisted configuration.

MCP-Undetected-Chromedriver is an MCP service based on undetected-chromedriver, providing browser automation control interfaces that bypass anti-scraping detection. It is suitable for web page automation testing and data collection scenarios.

An advanced PocketBase MCP server that provides comprehensive database operation tools, including collection management, record operations, user authentication, and database maintenance functions.

An automated tool for building and maintaining MCP server datasets, integrating GitHub resources and curated lists for daily updates and categorization management.

A collection of microservices for natural language interaction with biological databases, including an LLM client, PDB, and ChEMBL database API services.

This project is a collection of reference implementations of the Model Context Protocol (MCP), including MCP server implementations for various tools and services, aiming to provide secure and controllable access to tools and data sources for large language models (LLMs).

A JSON document collection server based on the Fireproof database, supporting multi-database CRUD operations and cloud synchronization, for AI system integration

This project is a collection of localized MCP servers used to extend the functionality of the Claude desktop application. It includes services such as weather query and LinkedIn profile scraping, and supports autonomous data control and processing.

A semantic search MCP service based on the Qdrant vector database, supporting multi - collection retrieval and configurable result return

LionScraper is a browser extension that enables web data collection through MCP, CLI, and HTTP API bridging tools.

A collection of tools focused on cryptocurrency market data analysis, providing real-time liquidation heatmaps, whale tracking, and Vietnamese stock market analysis 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 verified and secure MCP server collection for various integrations and tasks, covering categories such as REST API integration, research and data, and development tools.

An MCP server for the Firebase Firestore database, supporting AI assistants to directly perform CRUD operations, queries, and collection management

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

The Hugging Face MCP Server is a model context protocol service that provides read-only access to the Hugging Face Hub API, enabling LLMs like Claude to interact with Hugging Face's models, datasets, spaces, papers, and collections.

The Typesense MCP Server is a server that implements the Model Context Protocol (MCP), providing AI models with the ability to access Typesense search capabilities and supporting the discovery, search, and analysis of data in Typesense collections.

The Crawl4AI MCP Server is a Python-based web crawler project that integrates Playwright browser automation, the DuckDuckGo search engine, and the MCP protocol SDK for intelligent web data collection.

A collection of 46 professional AI sub - agents to expand the functionality of Claude Code, covering multiple fields such as development, architecture, language, infrastructure, quality and safety, data AI, etc., and achieving task optimization through specific model allocation.

The WatchBase MCP Server is a middleware service that provides access to the WatchBase data API for querying watch metadata, including brand, collection, model, technical parameters, and other information.