Clients
389 editors, desktop apps, agents and frameworks that support MCP.
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Convert user audio messages into text and convert text responses from the agent back to audio (text-to-speech) to play to the user. The AI voice agent is an expense manager with access to an MCP server with tools that allow CRUD (create, read, update, delete) operations on a data
A TypeScript library that enables AI agents to leverage MCP (Model Context Protocol) servers for enhanced capabilities. This library integrates with the AI SDK to provide a seamless way to connect to MCP servers and use their tools in AI-powered applications
A locally deployed Agent application built on the Ollama inference framework, featuring MCP tool calls and short- and long-term memory. || A locally deployed Agent application built on Ollama, featuring MCP tool integration along with both short-term and long-term memory support.
Built on Spring AI with encapsulated MCP client service to enable web page agents to interact with MCP servers through stdio and HTTP SSE (Server-Sent Events). The project implements automated connection management mechanisms including auto initialization, health checks, timeout closure, and connection reuse
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.
