These are the components that a user can download to create MCP servers on the fly
These are the components that a user can download to create MCP servers on the fly
A framework for adding semantic metadata to React components, making them "agent-aware" for AI systems and automation tools.
Agentify Components solves the problem of making UI components understandable to AI agents. When AI assistants interact with web applications, they typically lack context about what components do, how to interact with them, and what data they handle.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Real coding-agent sessions: what worked, where agents failed and what the human did about it.
MCP server for the Transport for London (TfL) Unified API — lines, journeys, stop points, arrivals, bike points, and more over stdio
Enhances Claude's reasoning capabilities by integrating the DeepSeek R1 reasoning engine.
It exposes following capabilites - fetch_petsByStatus: Available status values : available, pending, sold