mcp-use is an open-source development toolkit and cloud infrastructure designed to streamline the creation and deployment of custom AI agents through MCP servers. Trusted by engineers at organizations like NASA, Cisco, and NVIDIA, the SDK has garnered significant adoption with over 5,000 GitHub stars and 100,000 downloads. It allows developers to quickly spin up and aggregate MCP servers via a single endpoint, offering zero-friction integration.
The platform supports a wide range of use cases by enabling developers to connect to remote server pools, use any AI model, and create agents equipped with various tools. With just a few lines of code, users can integrate the library, configure MCP servers, and execute queries seamlessly. The SDK supports Python and JavaScript environments, making it versatile for different development needs.
At its core, mcp-use provides a robust infrastructure that includes features like authentication, server routing, caching, monitoring, and metrics. The managed MCP Gateway acts as a central endpoint for all MCP servers, handling routing, load balancing, and security with built-in OAuth, ACLs, and production-grade observability tools. Developers can deploy fully managed MCP servers in the cloud, sandbox local virtual machines, or proxy third-party servers, all managed from a unified dashboard.
The platform also offers an AI-powered chat interface for instant agent creation, testing, and interaction without requiring additional configuration or deployment. mcp-use fosters a collaborative community for developers to share projects, seek support, and draw inspiration, further enhancing its value as a go-to solution for building AI-powered applications.
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