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docs: update landing page for v0.3.5 release
Bump Docker image tags to 0.3.5 (API and frontend). Update MCP docs (EN/ES) to reflect runtime status monitoring: statuses changed from Configured/Error to Running/Failed to match the new real-time status reporting parsed from Claude Code init events and OpenCode runtime events. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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docker-compose.yml

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command: ["--auth", "${NATS_AUTH_TOKEN}", "-m", "8222"]
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api:
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image: ghcr.io/helmcode/agent_crew_api:0.3.3
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image: ghcr.io/helmcode/agent_crew_api:0.3.5
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restart: unless-stopped
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user: root
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ports:
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- agentcrew_db:/data
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frontend:
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image: ghcr.io/helmcode/agent_crew:0.3.2
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image: ghcr.io/helmcode/agent_crew:0.3.5
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restart: unless-stopped
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ports:
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- "${FRONTEND_PORT:-8080}:8080"

web/src/pages/docs/mcp.astro

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@@ -104,7 +104,11 @@ import DocsLayout from '../../layouts/DocsLayout.astro';
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<h2>MCP Status Monitoring</h2>
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<p>
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Each MCP server shows its status in the Settings modal:
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Each MCP server shows its runtime status in the Settings modal.
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AgentCrew reports the actual runtime state of each MCP server by
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parsing status events from the AI provider (Claude Code init events
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and OpenCode runtime events). This gives you real-time visibility
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into whether each server started successfully or failed.
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</p>
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<table>
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</thead>
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<tbody>
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<tr>
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<td><strong>Configured</strong></td>
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<td><strong>Running</strong></td>
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<td>Green dot</td>
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<td>The server configuration was written successfully and passed health checks.</td>
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<td>The MCP server is running and available to agents. Confirmed by the AI provider runtime.</td>
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</tr>
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<tr>
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<td><strong>Error</strong></td>
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<td><strong>Failed</strong></td>
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<td>Red dot</td>
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<td>The server failed health checks. Click the arrow to expand error details.</td>
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<td>The MCP server failed to start. Click the arrow to expand error details reported by the runtime.</td>
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</tr>
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<tr>
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<td><strong>Pending</strong></td>
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<td>Gray dot</td>
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<td>The server is waiting for status from the agent container.</td>
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<td>The server is waiting for runtime status from the agent container. This is the initial state before the AI provider reports back.</td>
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</tr>
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</tbody>
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</table>
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<p>
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When an MCP server has an error, the error details are expandable
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directly in the server list. Common causes include:
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When an MCP server has a <strong>Failed</strong> status, the error
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details are expandable directly in the server list. Common causes
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include:
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</p>
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<ul>
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<li>Package not found (wrong npm/pip package name)</li>
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<li>Remote server unreachable (wrong URL or network issue)</li>
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<li>Command not found (binary not installed in the agent image)</li>
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<li>Authentication failure (invalid credentials or expired tokens)</li>
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<li>Timeout during dependency download</li>
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</ul>
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web/src/pages/es/docs/mcp.astro

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<h2>Monitoreo de estado MCP</h2>
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<p>
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Cada servidor MCP muestra su estado en el modal de Settings:
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Cada servidor MCP muestra su estado de runtime en el modal de Settings.
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AgentCrew reporta el estado real de ejecucion de cada servidor MCP
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parseando eventos de estado del proveedor de IA (eventos init de
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Claude Code y eventos de runtime de OpenCode). Esto te da visibilidad
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en tiempo real sobre si cada servidor inicio correctamente o fallo.
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</p>
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<table>
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</thead>
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<tbody>
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<tr>
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<td><strong>Configured</strong></td>
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<td><strong>Running</strong></td>
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<td>Punto verde</td>
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<td>La configuracion del servidor se escribio correctamente y paso los health checks.</td>
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<td>El servidor MCP esta ejecutandose y disponible para los agentes. Confirmado por el runtime del proveedor de IA.</td>
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</tr>
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<tr>
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<td><strong>Error</strong></td>
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<td><strong>Failed</strong></td>
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<td>Punto rojo</td>
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<td>El servidor fallo los health checks. Haz clic en la flecha para expandir los detalles del error.</td>
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<td>El servidor MCP fallo al iniciar. Haz clic en la flecha para expandir los detalles del error reportados por el runtime.</td>
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</tr>
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<tr>
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<td><strong>Pending</strong></td>
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<td>Punto gris</td>
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<td>El servidor esta esperando el estado del contenedor del agente.</td>
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<td>El servidor esta esperando el estado de runtime del contenedor del agente. Este es el estado inicial antes de que el proveedor de IA reporte.</td>
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</tr>
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</tbody>
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</table>
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<p>
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Cuando un servidor MCP tiene un error, los detalles del error son expandibles
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directamente en la lista de servidores. Las causas comunes incluyen:
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Cuando un servidor MCP tiene estado <strong>Failed</strong>, los
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detalles del error son expandibles directamente en la lista de
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servidores. Las causas comunes incluyen:
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</p>
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<ul>
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<li>Paquete no encontrado (nombre incorrecto del paquete npm/pip)</li>
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<li>Servidor remoto inalcanzable (URL incorrecta o problema de red)</li>
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<li>Comando no encontrado (binario no instalado en la imagen del agente)</li>
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<li>Fallo de autenticacion (credenciales invalidas o tokens expirados)</li>
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<li>Timeout durante la descarga de dependencias</li>
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</ul>
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