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Fibery MCP

por fibery-inc · fibery-inc/fibery-mcp-server

Query and update Fibery work-management entities through MCP.

Fibery is a flexible work-management tool (think Notion + Linear + Jira). This MCP exposes any of your Fibery types — Feature, Bug, Customer, Insight — as entities Claude can read, link, and update.

Por qué usarlo

Características clave

Demo en vivo

Cómo se ve en la práctica

fibery-mcp.replay ▶ listo
0/0

Instalar

Elige tu cliente

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Abre Claude Desktop → Settings → Developer → Edit Config. Reinicia después de guardar.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Cursor usa el mismo esquema mcpServers que Claude Desktop. La configuración del proyecto prevalece sobre la global.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Haz clic en el icono MCP Servers de la barra lateral de Cline y luego en "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Mismo formato que Claude Desktop. Reinicia Windsurf para aplicar.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "fibery-mcp",
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  ]
}

Continue usa un array de objetos de servidor en lugar de un mapa.

~/.config/zed/settings.json
{
  "context_servers": {
    "fibery-mcp": {
      "command": {
        "path": "uvx",
        "args": [
          "fibery-mcp-server"
        ]
      }
    }
  }
}

Añádelo a context_servers. Zed recarga en caliente al guardar.

claude mcp add fibery-mcp -- uvx fibery-mcp-server

Un solo comando. Verifica con claude mcp list. Quita con claude mcp remove.

Casos de uso

Usos del mundo real: Fibery MCP

Convert customer insights into prioritized feature requests

👤 Product managers using Fibery ⏱ ~15 min intermediate

Cuándo usarlo: You have a stack of Insight entities and need to roll them up into Features.

Requisitos previos
  • Server/skill installed and authenticated — See repo README
Flujo
  1. Pull recent insights
    Find Insight entities created this month grouped by theme.✓ Copiado
    → Themed clusters of insights
  2. Create features
    For the top 3 themes, create a Feature entity linked to all contributing Insights with a 'why now' summary.✓ Copiado
    → Three new Features with backlinks

Resultado: Backlog grounded in real user feedback with traceability.

Errores comunes
  • Fibery types are workspace-specific — Fibery types are workspace-specific — always start with describe_schema before assuming a field name.
Combinar con: filesystem

Combinaciones

Combínalo con otros MCPs para multiplicar por 10

fibery-mcp + filesystem

Pair with filesystem for complementary capabilities

Use this server together with filesystem to complete a multi-step task.✓ Copiado

Herramientas

Lo que expone este MCP

HerramientaEntradasCuándo llamarCoste
describe_schema (none) First — to discover types and fields 1 API call
query_entities type, filter, limit Find entities matching criteria 1 API call
update_entity id, fields Change a field value 1 API call

Coste y límites

Lo que cuesta ejecutarlo

Cuota de API
See provider docs for rate limits
Tokens por llamada
Varies by tool
Monetario
See repo README for pricing details
Consejo
Cache tool results and avoid repeated identical calls.

Seguridad

Permisos, secretos, alcance

Almacenamiento de credenciales: Use environment variables; never commit secrets
Salida de datos: Tool calls go to the provider's API as documented

Resolución de problemas

Errores comunes y soluciones

401 Unauthorized

Generate an API token at Fibery workspace settings → API keys. Set FIBERY_HOST and FIBERY_TOKEN.

Verificar: describe_schema returns types
field not found

Field names in Fibery's API use the type-qualified form (e.g. Workflow/State). Use describe_schema to find the exact name.

Verificar: Inspect the type's fields

Alternativas

Fibery MCP vs otros

AlternativaCuándo usarlaContrapartida
Linear MCPEng-onlyFixed schema; less flexible

Más

Recursos

📖 Lee el README oficial en GitHub

🐙 Ver issues abiertas

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