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MCP Agent

@lastmile-ai

Repository

Basic information

Category

AI & Agents

License

Apache-2.0

Transports

stdio

Author

lastmile-ai

About MCP Agent

Build effective agents using Model Context Protocol and simple workflow patterns

#python#ai#mcp#agents#ai-agents#llm#llms#model-context-protocol

MCP Agent config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-agent": {
      "command": "uvx",
      "args": [
        "mcp-agent",
        "init",
        "--template",
        "basic",
        "#",
        "Scaffold",
        "a",
        "new",
        "project"
      ]
    }
  }
}

MCP Agent tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Mcp Agent?

Mcp Agent is a simple, composable framework for building effective agents using the Model Context Protocol (MCP). It fully implements MCP, manages the lifecycle of MCP server connections, and implements every pattern from Anthropic's "Building Effective Agents" in a composable way. Mcp Agent is for developers who want to build agents that can pause, resume, and recover without API changes, scaling from simple agents to sophisticated workflows on Temporal.

How to use Mcp Agent?

Install with uv add mcp-agent or pip install mcp-agent and optionally add LLM provider extras (e.g., openai, anthropic). Configure MCP servers and secrets in YAML files, then use the Python SDK to create Agent instances, attach an Augmented LLM, and generate responses. The CLI is available via uvx mcp-agent for scaffolding and deployment.

Key features of Mcp Agent

  • Full MCP support: Tools, Resources, Prompts, Notifications, OAuth, and more
  • Composable agent patterns: map-reduce, orchestrator, evaluator-optimizer, router
  • Durable execution via Temporal without

Comments

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