MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
Developer Tools
A reference implementation of the Model Context Protocol (MCP) enabling seamless tool calling between LLMs and applications. Features client/server architecture with HTTP APIs, local CLI execution, and AWS Bedrock integration in a production-ready, extensible framework
The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost
Provides intelligent access and management functionality for the public-apis database. Offers developers convenient public API discovery, search and integration services. Through the standardized MCP protocol, you can easily integrate rich public API resources into various AI assistants and development tools
figma-mcp-express connects AI agents directly to Figma via a local plugin bridge. No Figma token required. No quota. No per-seat billing. Ships 70 discrete tools for reading design context, creating and mutating nodes, importing library components and variables, managing styles a
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
