fast-agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
- 3.9k estrellas
- 451 forks
- 39 issues abiertos
- Lenguaje: Python
- Licencia: Apache-2.0
- actualizado
Instalación
local · uvx (python)claude mcp add fast-agent -- uvx fast-agent{
"mcpServers": {
"fast-agent": {
"command": "uvx",
"args": ["fast-agent"]
}
}
}{
"mcpServers": {
"fast-agent": {
"command": "uvx",
"args": ["fast-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/evalstate/fast-agent and follow its README.
Nota editorial
Fast-agent is a Python framework for building, running, and evaluating LLM agents and multi-agent workflows from the command line. It connects to Claude and other models through the Anthropic API and supports MCP as both client and server, allowing users to connect to MCP servers via STDIO or Streamable HTTP with OAuth authentication managed through a built-in `fast-agent auth` command with KeyRing storage. The framework includes a prompt_toolkit-powered interactive terminal interface with completions and in-terminal menus, a `/skills` command for managing reusable agent capabilities defined in SKILL.md files, and a `/connect` command for attaching live MCP servers during a session. A notable standout is that fast-agent claims to be the only tool capable of inspecting Streamable HTTP Transport usage, which aids in debugging MCP compliance. Developers building agentic pipelines, evaluators testing model-tool interactions, and teams needing reproducible agent configurations stored as plain files will find the most use here. Any fast-agent setup can also be exposed as an ACP server for use with compatible clients.
2 items en este repositorio
Extract and analyze writing improvements from GitHub PR review comments. Use when asked to show review feedback, style changes, or editorial improvements from a GitHub pull request URL. Handles both explicit suggestions and plain text feedback. Produces structured output comparing original phrasing with reviewer suggestions to help refine future writing.
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns.
Resumen de MCP Servers
Lo que la gente pregunta sobre fast-agent
¿Qué es evalstate/fast-agent?
evalstate/fast-agent es mcp servers para el ecosistema de Claude AI. Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support Tiene 3.9k estrellas en GitHub y su última actualización registrada es del 2026-10-23.
¿Cómo se instala fast-agent?
Puedes instalar fast-agent clonando el repositorio (https://github.com/evalstate/fast-agent) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar evalstate/fast-agent?
Nuestro agente de seguridad ha analizado evalstate/fast-agent y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene evalstate/fast-agent?
evalstate/fast-agent es mantenido por evalstate. La última actividad registrada en GitHub es del 2026-10-23, con 39 issues abiertos.
¿Hay alternativas a fast-agent?
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.