AI Native Landscape

MCP Use

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The simplest way to interact with MCP servers and create custom agents, supporting connection of any LLM to MCP servers.

Author mcp-use Open Sourced 2025-03-28 Last Commit Unknown

MCP-Use is a fullstack MCP framework for building MCP Servers and MCP Apps that work with ChatGPT, Claude, and other AI agents. It provides SDKs for both TypeScript and Python, enabling developers to create, preview, and deploy MCP servers with minimal boilerplate.

MCP Server Development

  • Create MCP servers in just a few lines of code with the Python or TypeScript SDK
  • Built-in auto-discovery of tools and resources — no manual registration needed
  • Supports both stdio and streamable-http transports out of the box
  • Conformance-tested against the official Model Context Protocol specification

MCP Apps and Widgets

  • Build interactive widgets that run across Claude, ChatGPT, and any MCP client — write once, run everywhere
  • React-based widget components with theme support (light/dark) and pending states
  • Auto-discovered from the resources/ directory — no manual wiring required
  • Ready-to-use templates including Chart Builder, Diagram Builder, Slide Deck, Maps Explorer, and more

MCP Agent and Client

  • Full MCP Agent implementation using LangChain with support for OpenAI, Anthropic, Groq, and local models
  • MCPClient for direct tool calls without an LLM — connect to any MCP server programmatically
  • Dynamic server selection: agents can pick the most suitable MCP server from a pool based on the task
  • Multi-server support: use multiple MCP servers simultaneously within a single agent

Inspector and Developer Tools

  • Web-based Inspector for interactive testing and debugging of MCP servers
  • Auto-included when using server.listen() — available at /inspector endpoint
  • Online version at inspector.mcp-use.com for testing hosted MCP servers
  • CLI tool with hot reload and one-command deployment to production

Cross-Language Support

  • Python SDK (pip install mcp-use): Complete server and agent implementation with Pydantic validation
  • TypeScript SDK (npm install mcp-use): Full framework including server, apps, agents, and client
  • CLI Tools: create-mcp-use-app for scaffolding, @mcp-use/cli for building and deploying
  • Both SDKs follow idiomatic patterns of their respective languages with consistent API design