Mcp Agent

Name: Mcp Agent
Author: lastmile-ai

@lastmile-ai

Repository

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

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"
      ]
    }
  }
}

Tools

No tools detected

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

Basic information

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