mcp-use

What is mcp-use?

mcp-use is an open-source platform and library that enables developers to connect any large language model (LLM) to MCP servers, facilitating the creation of custom AI agents with access to external tools without vendor lock-in. Its mission is to standardize AI integrations through the Model Context Protocol (MCP), making it easier for applications to provide real-time context to LLMs from diverse sources like APIs, databases, and file systems. By offering a registry of community-built servers and easy configuration tools, mcp-use solves the challenge of extending AI capabilities beyond isolated models, empowering developers to build more powerful and versatile AI applications. The platform serves AI developers, researchers, and businesses by promoting an open ecosystem for AI tool connectivity, akin to a universal adapter for artificial intelligence.

mcp-use's Core Features

• Connect any LLM to any MCP server using a flexible JSON-based configuration for seamless integration.

• Browse and discover a registry of community-built MCP servers for tools like file operations, APIs, and databases.

• Create custom AI agents with tool access using LangChain-compatible LLM providers.

• Dynamically select the most appropriate MCP server based on the task requirements for optimized performance.

• Run MCP servers in secure cloud sandboxes with optional E2B execution to ensure safety.

• Stream agent results in real-time and automatically log full interactions for better debugging.

• Utilize the CLI tool to connect LLMs to MCP servers directly from the command line.

• Leverage the TypeScript library (mcp-use-ts) for JavaScript-based LLM and MCP integrations.

• Build voice assistants powered by mcp-use for interactive AI applications.

• Use the code builder tool to create and customize MCP solutions quickly.

• Access comprehensive documentation and quickstart guides for rapid setup and onboarding.

• Follow security best practices provided to safely handle powerful capabilities like file access and code execution.

• Support multiple MCP servers simultaneously for complex AI workflows.

• Integrate with external services like Slack, GitHub, or databases through MCP intermediaries.