OpenAI Codex MCP Server
Official experimental MCP server interface for controlling OpenAI Codex threads, turns, models, configuration, accounts, and approvals.
Independent MCP registry
A fast, human-curated index of Model Context Protocol servers. Compare tools, inspect their capabilities, and connect your agents to the systems you already use.
Official experimental MCP server interface for controlling OpenAI Codex threads, turns, models, configuration, accounts, and approvals.
GitHub's official MCP Server
Python and TypeScript library for integrating the Stripe API into agentic workflows
Playwright MCP server
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
Community-maintained Model Context Protocol server.
Community-maintained Model Context Protocol server.
Connect Supabase to your AI assistants
An MCP server for interacting with Sentry via LLMs.
Community-maintained Model Context Protocol server.
MCP server for Grafana
Heroku Platform MCP Server using the Heroku CLI
Shopify.dev MCP server
Official Docker Hub MCP server for image discovery and repository management through Docker Hub APIs.
Official Atlassian remote MCP server for Jira, Confluence, and Compass.
Official Notion MCP server for searching, reading, creating, and updating Notion workspace content.
Official Harness MCP server for software delivery and DevOps workflows.
Model Context Protocol Servers
Model Context Protocol Servers
Model Context Protocol Servers
Model Context Protocol Servers
Model Context Protocol Servers
Model Context Protocol Servers
Model Context Protocol Servers
An MCP server is a software service that implements the Model Context Protocol, allowing AI agents to access data, tools, and external systems through a consistent interface. Developers use an MCP server to connect databases, code repositories, search services, business software, and automation platforms.
This MCP server directory organizes community-maintained MCP servers by capability. Each MCP server listing helps you review its purpose, maintainer, project URL, and documentation before adding the MCP server to an AI workflow.
When choosing an MCP server, check its source code, license, requested permissions, and maintenance activity. Before installing any MCP server, read its documentation and grant only the access the MCP server needs to complete its task.