MCP Server Directory
Find Model Context Protocol servers to connect your AI tools to databases, APIs, and services.
What is MCP?
The Model Context Protocol is an open standard that lets AI assistants connect to external tools, databases, and APIs.
What are Services?
Services are the platforms MCP connects to (GitHub, Slack, Postgres). Each service may have multiple server implementations to choose from.
What are Servers?
Servers are the actual MCP packages you install. Different authors build different servers for the same service, with varying features and quality.
Popular & Trending
GitHub
4 servers
Version control and code hosting platform. MCP servers for GitHub enable AI assistants to manage repositories, pull requests, issues, and code search.
Atlassian
3 servers
MCP servers for Atlassian suite — Jira, Confluence, and project management integration.
Memory
3 servers
MCP servers for persistent memory and knowledge graph storage across conversations.
Browser Automation
2 servers
MCP servers for browser automation, web scraping, and page interaction.
Filesystem
2 servers
MCP servers for file system operations including read, write, and directory management.
GitLab
2 servers
MCP servers for GitLab integration — manage repos, issues, merge requests, and CI/CD pipelines.
Atlassian
MCP servers for Atlassian suite — Jira, Confluence, and project management integration.
Brave Search
MCP servers for Brave Search API — web search with privacy-focused results.
Browser Automation
MCP servers for browser automation, web scraping, and page interaction.
Docker
MCP servers for Docker and Docker Hub — manage containers, images, and registries.
Filesystem
MCP servers for file system operations including read, write, and directory management.
Firecrawl
MCP servers for Firecrawl web scraping — crawl, extract, and convert web pages to structured data.
GitHub
Version control and code hosting platform. MCP servers for GitHub enable AI assistants to manage repositories, pull requests, issues, and code search.
GitLab
MCP servers for GitLab integration — manage repos, issues, merge requests, and CI/CD pipelines.
Google Maps
MCP servers for Google Maps integration — geocoding, directions, and place search.
Grafana
MCP servers for Grafana monitoring — dashboards, queries, and observability data.
Kubernetes
MCP servers for Kubernetes cluster management — pods, services, deployments, and more.
Memory
MCP servers for persistent memory and knowledge graph storage across conversations.
Monitoring
MCP servers for monitoring and observability — dashboards, metrics, alerts, and incident tracking.
Notion
MCP servers for Notion workspace integration — access pages, databases, and content.
Obsidian
MCP servers for Obsidian vault access — read notes, search, and manage your knowledge base.
Perplexity
MCP servers for Perplexity AI search — query and retrieve AI-powered answers.
Playwright
MCP servers for Playwright browser automation — cross-browser testing and web interaction.
Puppeteer
MCP servers for Puppeteer browser automation — navigate, screenshot, and interact with web pages.
SQLite
MCP servers for SQLite database access — lightweight embedded database operations.
Sentry
MCP servers for Sentry error tracking — issues, releases, and performance monitoring.
Slack
MCP servers for slack
Stripe
MCP servers for Stripe payment processing — customers, charges, subscriptions, and invoices.
Web Fetching
MCP servers for fetching and retrieving web content, URLs, and APIs.
Wikipedia
MCP servers for Wikipedia — search and retrieve encyclopedia articles and summaries.
YouTube
MCP servers for YouTube integration — transcripts, search, and video data.
arXiv
MCP servers for arXiv research paper access — search, read, and explore academic papers.
n8n
MCP servers for n8n workflow automation — trigger and manage automated workflows.
What is MCP?
The Model Context Protocol (MCP) is an open standard that connects AI assistants to external tools, databases, and services. MCP servers let your AI tools interact with the outside world... query databases, send messages, manage files, and more.
Tools
Executable functions your AI can call to take actions
Resources
Read-only data sources and files for context
Prompts
Reusable interaction templates for common workflows