# Awesome MCP Servers [](https://awesome.re)
A curated list of awesome Model Context Protocol (MCP) servers.
* [What is MCP?](#what-is-mcp)
* [Server Implementations](#server-implementations)
## What is MCP?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
## Server Implementations
* 📂 - [Browser Automation](#browser-automation)
* ☁️ - [Cloud Platforms](#cloud-platforms)
* 💬 - [Communication](#communication)
* 🗄️ - [Databases](#databases)
* 📂 - [File Systems](#file-systems)
* 🧠 - [Knowledge & Memory](#knowledge--memory)
* 🗺️ - [Location Services](#location-services)
* 📊 - [Monitoring](#monitoring)
* 🔎 - [Search](#search)
* 🔄 - [Version Control](#version-control)
* 🛠️ - [Other Tools and Integrations](#other-tools-and-integrations)
### 📂 Browser Automation [top⇈](#server-implementations)
> Web content access and automation capabilities. Enables searching, scraping, and processing web content in AI-friendly formats.
- [@modelcontextprotocol/server-puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer) - Browser automation for web scraping and interaction
### ☁️ Cloud Platforms [top⇈](#server-implementations)
> Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.
- [Cloudflare MCP Server](https://github.com/cloudflare/mcp-server-cloudflare) - Integration with Cloudflare services including Workers, KV, R2, and D1
### 💬 Communication [top⇈](#server-implementations)
> Integration with communication platforms for message management and channel operations. Enables AI models to interact with team communication tools.
- [@modelcontextprotocol/server-slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack) - Slack workspace integration for channel management and messaging
### 🗄️ Databases [top⇈](#server-implementations)
> Secure database access with schema inspection capabilities. Enables querying and analyzing data while maintaining read-only safety by default.
- [@modelcontextprotocol/server-postgres](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres) - PostgreSQL database integration with schema inspection and query capabilities
- [@modelcontextprotocol/server-sqlite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite) - SQLite database operations with built-in analysis features
### 📂 File Systems [top⇈](#server-implementations)
> Provides direct access to local file systems with configurable permissions. Enables AI models to read, write, and manage files within specified directories.
- [@modelcontextprotocol/server-filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem) - Direct local file system access.
- [mark3labs/mcp-filesystem-server](https://github.com/mark3labs/mcp-filesystem-server) - Golang implementation for local file system access.
## 🧠 Knowledge & Memory [top⇈](#server-implementations)
> Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
- [@modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory) - Knowledge graph-based persistent memory system for maintaining context
### 🗺️ Location Services [top⇈](#server-implementations)
> Geographic and location-based services integration. Enables access to mapping data, directions, and place information.
- [@modelcontextprotocol/server-google-maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps) - Google Maps integration for location services, routing, and place details
### 📊 Monitoring [top⇈](#server-implementations)
> Access and analyze application monitoring data. Enables AI models to review error reports and performance metrics.
- [@modelcontextprotocol/server-sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry) - Sentry.io integration for error tracking and performance monitoring
## 🔎 Search [top⇈](#server-implementations)
> Web search capabilities.
- [@modelcontextprotocol/server-brave-search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search) - Web search capabilities using Brave's Search API
- [@modelcontextprotocol/server-fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch) - Efficient web content fetching and processing for AI consumption
- [ac3xx/mcp-servers-kagi](https://github.com/ac3xx/mcp-servers-kagi) - Kagi search API integration
- [theishangoswami/exa-mcp-server](https://github.com/theishangoswami/exa-mcp-server) - Exa AI Search API
### 🔄 Version Control [top⇈](#server-implementations)
> Interact with Git repositories and version control platforms. Enables repository management, code analysis, pull request handling, issue tracking, and other version control operations through standardized APIs.
- [@modelcontextprotocol/server-github](https://github.com/modelcontextprotocol/servers/tree/main/src/github) - GitHub API integration for repository management, PRs, issues, and more
- [@modelcontextprotocol/server-gitlab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab) - GitLab platform integration for project management and CI/CD operations
- [@modelcontextprotocol/server-git](https://github.com/modelcontextprotocol/servers/tree/main/src/git) - Direct Git repository operations including reading, searching, and analyzing local repositories
### 🛠️ Other Tools and Integrations [top⇈](#server-implementations)
- [pierrebrunelle/mcp-server-openai](https://github.com/pierrebrunelle/mcp-server-openai) - Query OpenAI models directly from Claude using MCP protocol
- [baba786/phabricator-mcp-server](https://github.com/baba786/phabricator-mcp-server) - Interacting with Phabricator API
- [MarkusPfundstein/mcp-obsidian](https://github.com/MarkusPfundstein/mcp-obsidian) - Interacting with Obsidian via REST API
- [anaisbetts/mcp-youtube](https://github.com/anaisbetts/mcp-youtube) - Fetch YouTube subtitles
- [danhilse/notion_mcp](https://github.com/danhilse/notion_mcp) - Integrates with Notion's API to manage personal todo lists