mcp-use
Open source framework for connecting LLMs to MCP servers and building agents in Python or TypeScript.
About
Two complementary halves make up mcp-use, an MIT-licensed open source project at about 10,500 GitHub stars. The original Python library, installable from PyPI, connects any tool-calling LLM to any MCP server and produces working agents in a few lines of code, handling multi-server connections and selecting the right server for a given task; because it is model-agnostic, the same agent code runs against hosted APIs or fully local models. The newer TypeScript side has grown into a fullstack MCP framework scaffolded with create-mcp-use-app: tool definitions flow through typed Zod schemas into structured results, React views can bind directly to tools for interactive interfaces, and a built-in inspector plus a companion CLI handle debugging, headless invocation, and screenshot verification. Documentation at docs.mcp-use.com covers both stacks. The project occupies a useful middle ground, lighter than a full agent platform but more batteries-included than the raw protocol SDKs, which has made it a common starting point for custom MCP clients, servers, and agent prototypes.
Should you use mcp-use?
Pick it when
Choose mcp-use when you want a custom MCP client or agent prototype in a few lines: the Python library connects any tool-calling model, local or hosted, to several MCP servers and routes tasks to the right one.
Look elsewhere when
Skip it if you need a full agent runtime with memory, workflows, and evals, where mastra or pydantic-ai go further, or if you only need to expose tools as a Python server, where fastmcp is the more established choice.
Alternatives to mcp-use
- FastMCP
Stronger for building Python MCP servers with auth, composition, and OpenAPI conversion, but less focused on wiring one agent to many servers.
- Pydantic AI
Full agent framework with MCP integration, typed outputs, durable execution, and evals; more to learn, but covers production concerns mcp-use leaves to you.
- Claude Agent SDK
Mixes in-process and external MCP servers with hooks and permissions, but it is built around Anthropic models rather than being model-agnostic.
- MCP Inspector
The official debugging harness; use it alongside or instead of the mcp-use inspector when you need the protocol team's reference behavior.
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Details
- Category
- AI Agents & Orchestration
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- MIT
- Added
- Aug 24, 2026