Verbinden Sie Apiary mit ChatGPT, Claude und Gemini

• 01 / 03API-Zugriff prüfen
• 02 / 03API-Blueprints aktualisieren
• 03 / 03API-Specs validieren

Schnellster Tag

751ms

Langsamster Tag

1204ms

14-Tage-Trend

Verbessernd-18%

Apiary Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_UAsHBD3gjamXcRpVpwIeIHmn77OKcfcfMA4F8oBO/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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.

Konfiguration · claude_desktop_config.jsonKopieren

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

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

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Apiary in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Backend-Entwickler

  Bitten Sie Ihren Assistenten, den aktuellen Blueprint abzurufen, neue Endpunkt-Spezifikationen zu verfassen und diese automatisch zu veröffentlichen.

• 02

  Technical Writer

  Überprüfen und korrigieren Sie API-Dokumentationen einfach und senden Sie Änderungen direkt an den Remote-Server.

• 03

  Engineering Manager

  Listen Sie alle aktiven APIs Ihres Teams auf, überwachen Sie die Berechtigungen der Mitglieder und überprüfen Sie den Teststatus.

• 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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