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ClaudeWave

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

MCP Servers3.8k estrellas1k forksTypeScriptAGPL-3.0Actualizado today
Nota editorial

Archestra is a self-hosted, MCP-native enterprise platform that centralizes MCP server management away from individual developer machines into a shared, governed orchestrator. Deployable via a single Docker command or on Kubernetes, it provides a private MCP registry for distributing self-hosted and third-party MCP servers org-wide, a ChatGPT-style chat interface with a company-wide prompt registry, and a built-in retrieval-augmented generation knowledge base that requires no external vector database. It connects to Claude (including Claude Code migrations via an included migration kit), as well as OpenAI, Gemini, and DeepSeek models through its MCP gateway layer. A standout security feature is its dual-LLM architecture, which isolates potentially malicious tool responses in a separate sub-agent to block prompt injection attacks and prevent data exfiltration through MCP tools. Platform teams gain credential governance, cost controls, and AI usage observability, while developers can deploy MCP servers organization-wide without handling security infrastructure themselves.

ClaudeWave Trust Score
100/100
Verified
Passed
  • Open-source license (AGPL-3.0)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 6/11/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/archestra-ai/archestra
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "archestra": {
      "command": "node",
      "args": ["/path/to/archestra/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/archestra-ai/archestra and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

README no disponible. Visita el repo en GitHub para la documentación completa.
a2aa2a-mcpacpagentaichatgptchatgpt-apiclaudedeepseekgeminik8smcpmcp-clientmcp-gatewaymcp-hostmcp-servermcp-serversmcp-toolsopenairuntime

Lo que la gente pregunta sobre archestra

¿Qué es archestra-ai/archestra?

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archestra-ai/archestra es mcp servers para el ecosistema de Claude AI. Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator Tiene 3.8k estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala archestra?

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Puedes instalar archestra clonando el repositorio (https://github.com/archestra-ai/archestra) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar archestra-ai/archestra?

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Nuestro agente de seguridad ha analizado archestra-ai/archestra 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 archestra-ai/archestra?

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archestra-ai/archestra es mantenido por archestra-ai. La última actividad registrada en GitHub es de today, con 140 issues abiertos.

¿Hay alternativas a archestra?

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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

Despliega archestra en tu cloud

Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.

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