Conecte Apiary ao ChatGPT, Claude e Gemini

• 01 / 03Como auditar acessos de API
• 02 / 03Como atualizar blueprints de API
• 03 / 03Como validar especificações de API

Dia mais rápido

751ms

Dia mais lento

1204ms

Tendência de 14 dias

Melhorando-18%

Apiary Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_UAsHBD3gjamXcRpVpwIeIHmn77OKcfcfMA4F8oBO/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Apiary capabilities are ready to use.

Configuração · claude_desktop_config.jsonCopiar

{
  "mcpServers": {
    "apiary-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UAsHBD3gjamXcRpVpwIeIHmn77OKcfcfMA4F8oBO/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar Apiary no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  Engenheiros de Backend

  Peça ao assistente para buscar o blueprint atual, escrever novas especificações de endpoints e publicá-las automaticamente.

• 02

  Redatores Técnicos

  Revise e corrija facilmente a formatação da documentação da API e envie as alterações diretamente para o servidor remoto.

• 03

  Gerentes de Engenharia

  Liste todas as APIs ativas sob sua equipe, supervisione as permissões dos membros e verifique o status dos testes.

• 01

  Does this MCP work with my existing APIs?

  Yes. This MCP is designed to manage your existing API design and specification processes within the Apiary platform. You use it to read, validate, and update blueprints for APIs already in your workspace.

• 02

  What is the difference between listing APIs and listing team APIs?

  Listing all APIs shows every project in your entire workspace. Listing team APIs limits the scope, showing only the projects that belong to a specific team you are interested in.

• 03

  Can I use this to write documentation?

  You can use the MCP to publish documentation. After you provide the new markdown code, the MCP publishes it, and Apiary automatically refreshes the mock server and the public documentation URL.

• 04

  Is this just a directory of APIs?

  No, it's a fully functional connector. Vinkius hosts and manages this MCP, allowing your AI client to actively run tests, retrieve blueprints, and manage team data, not just list it.

• 05

  What if I need to check user permissions?

  You can use the team capabilities. You can list all team members and check the details of a specific team to understand the current user roles and permissions.

• 06

  Can the agent fetch the exact mock server endpoints for one of my APIs?

  Yes. You can use the get_doc_url capability to retrieve both the public facing documentation url and the private mock server endpoint string. Your agent can immediately use this url to simulate requests internally using other modules or tests.

• 07

  Am I able to update the Blueprint markup completely through the agent?

  Absolutely. Instruct your AI agent to fetch the blueprint with get_api. Once read into context, prompt the agent to make your desired changes (e.g. 'Add a new POST route for user creation'). Then, instruct it to use publish_blueprint to upload the newly revised markdown.

• 08

  How does the team feature list function mapping work?

  Apiary enables collaboration. Utilizing list_teams, the agent finds the slugs of your organizations. Then, using list_team_apis, it fetches all collaborative APIs available for that precise team. This hierarchy avoids hallucinating random endpoint repositories.

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