Fibery MCP — Instalar & Demo ao vivo

Por que usar

Principais recursos

Auto-discovers your custom Fibery types via the schema API
Read/write entities with rich-text descriptions
Cross-database links (Feature → Customer Insight, etc.)
Fibery formula execution for derived fields
Workspace-scoped token

Demo ao vivo

Como fica na prática

fibery-mcp.replay ▶ pronto

0/0

Instalar

Escolha seu 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"
      ]
    }
  }
}

Abra Claude Desktop → Settings → Developer → Edit Config. Reinicie após salvar.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Cursor usa o mesmo esquema mcpServers que o Claude Desktop. Config de projeto vence a global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Clique no ícone MCP Servers na barra lateral do Cline, depois "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "fibery-mcp": {
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  }
}

Mesmo formato do Claude Desktop. Reinicie o Windsurf para aplicar.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "fibery-mcp",
      "command": "uvx",
      "args": [
        "fibery-mcp-server"
      ]
    }
  ]
}

O Continue usa um array de objetos de servidor em vez de um map.

~/.config/zed/settings.json

{
  "context_servers": {
    "fibery-mcp": {
      "command": {
        "path": "uvx",
        "args": [
          "fibery-mcp-server"
        ]
      }
    }
  }
}

Adicione em context_servers. Zed recarrega automaticamente ao salvar.

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

Uma linha só. Verifique com claude mcp list. Remova com claude mcp remove.

Casos de uso

Usos do mundo real: Fibery MCP

Convert customer insights into prioritized feature requests

👤 Product managers using Fibery ⏱ ~15 min intermediate

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

Pré-requisitos

Server/skill installed and authenticated — See repo README

Fluxo

Pull recent insights

Find Insight entities created this month grouped by theme.✓ Copiado

→ Themed clusters of insights
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.

Armadilhas

Fibery types are workspace-specific — Fibery types are workspace-specific — always start with describe_schema before assuming a field name.

Combine com: filesystem

Combinações

Combine com outros MCPs para 10× de alavancagem

fibery-mcp + filesystem

Pair with filesystem for complementary capabilities

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

Ferramentas

O que este MCP expõe

Ferramenta	Entradas	Quando chamar	Custo
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

Custo e limites

O que custa rodar

Cota de API: See provider docs for rate limits
Tokens por chamada: Varies by tool
Monetário: See repo README for pricing details
Dica: Cache tool results and avoid repeated identical calls.

Segurança

Permissões, segredos, alcance

Armazenamento de credenciais: Use environment variables; never commit secrets

Saída de dados: Tool calls go to the provider's API as documented

Solução de problemas

Erros comuns e correções

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. outros

Alternativa	Quando usar	Troca
Linear MCP	Eng-only	Fixed schema; less flexible

Mais

Recursos

📖 Leia o README oficial no GitHub

🐙 Ver issues abertas

🔍 Ver todos os 400+ servidores MCP e Skills