mcp-agent
Build effective agents using Model Context Protocol and simple workflow patterns
- 8.6k estrellas
- 893 forks
- 149 issues abiertos
- Lenguaje: Python
- Licencia: Apache-2.0
- actualizado
Instalación
local · uvx (python)claude mcp add mcp-agent -- uvx mcp-agent{
"mcpServers": {
"mcp-agent": {
"command": "uvx",
"args": ["mcp-agent"]
}
}
}{
"mcpServers": {
"mcp-agent": {
"command": "uvx",
"args": ["mcp-agent"]
}
}
}- Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
- Replace any <placeholder> values with your API keys or paths.
- Restart Claude. The MCP server and its tools appear automatically.
Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/lastmile-ai/mcp-agent and follow its README.
Nota editorial
mcp-agent is a Python framework for building LLM-driven agents entirely on top of the Model Context Protocol, handling the full MCP lifecycle including tools, resources, prompts, notifications, OAuth, sampling, elicitation, and roots. It implements every workflow pattern described in Anthropic's "Building Effective Agents" guide, including orchestrator, evaluator-optimizer, router, and map-reduce, and these patterns can be composed together into more complex pipelines. Agents connect to any MCP server by name and can be exposed as MCP servers themselves using a FastMCP-compatible API, making them consumable by Claude Desktop or other MCP clients. The framework works with multiple LLM backends including the Anthropic API and OpenAI. A notable feature is optional Temporal integration for durable execution, which allows long-running agent workflows to pause, resume, and recover from failures without any changes to the agent API. Python developers building multi-step AI workflows, teams deploying production agents, and anyone who wants to treat MCP as the sole interface layer for agent construction are the primary audience.
Resumen de MCP Servers
Lo que la gente pregunta sobre mcp-agent
¿Qué es lastmile-ai/mcp-agent?
lastmile-ai/mcp-agent es mcp servers para el ecosistema de Claude AI. Build effective agents using Model Context Protocol and simple workflow patterns Tiene 8.6k estrellas en GitHub y su última actualización registrada es del 2026-01-25.
¿Cómo se instala mcp-agent?
Puedes instalar mcp-agent clonando el repositorio (https://github.com/lastmile-ai/mcp-agent) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar lastmile-ai/mcp-agent?
Nuestro agente de seguridad ha analizado lastmile-ai/mcp-agent y le ha asignado un Trust Score de 82/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene lastmile-ai/mcp-agent?
lastmile-ai/mcp-agent es mantenido por lastmile-ai. La última actividad registrada en GitHub es del 2026-01-25, con 149 issues abiertos.
¿Hay alternativas a mcp-agent?
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.