Verbinden Sie Coze mit ChatGPT, Claude und Gemini

• 01 / 01Bots debuggen und deployen

Schnellster Tag

685ms

Langsamster Tag

1029ms

14-Tage-Trend

Verlangsamend+6%

Coze Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_0lEt3NxYVz4nTDDqHVx3BleKwHs5oApqZrMC3qwh/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 — Coze capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "coze-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0lEt3NxYVz4nTDDqHVx3BleKwHs5oApqZrMC3qwh/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? Coze in Claude und anderen KI-Tools einrichten

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

• 01

  Knowledge Engineers

  Automatisieren die Aufnahme von Dokumentationen in verschiedene Datensätze.

• 02

  RAG-Entwickler

  Debuggen semantische Suchergebnisse und optimieren Chunking-Strategien programmatisch.

• 03

  System-Integratoren

  Erstellen komplexe KI-Workflows mit dynamischem Management von Wissensdatenbanken.

• 01

  How do I connect my Coze account?

  You need to generate a Personal Access Token (PAT) from your Coze profile settings and provide your Base URL to Vinkius. Once connected, your AI client can immediately start using the capabilities.

• 02

  Which version of Coze should I use?

  You can use either the international version (api.coze.com) or the China version (api.coze.cn). You just need to specify the correct Base URL when setting up the MCP.

• 03

  Can I manage my RAG data through this MCP?

  Yes. You can upload raw text documents, upload files via URLs, and delete specific documents from your datasets to manage your RAG optimization.

• 04

  Does this work with any AI client?

  This MCP works with any client that supports the Model Context Protocol, such as Claude, Cursor, Windsurf, and VS Code.

• 05

  Can I talk to my bots directly?

  Yes. The create_chat capability allows you to send messages to published bots and receive their responses within your agent's interface.

• 06

  Which Base URL should I use for my account?

  If you are using the international version, use https://api.coze.com. For the Chinese version, use https://api.coze.cn.

• 07

  Can I automatically list all published bots in a space?

  Yes! Use the list_bots capability with your Space ID. Your agent will return a list of all bots that have been published and are ready for interaction.

• 08

  How do I upload a new document to my knowledge base?

  Use the upload_document capability with the target Dataset ID and the raw text content. Your agent will handle the ingestion process into the Coze RAG engine.

• 

  Mem AI (Knowledge Workspace) KI-Connector

  Manage your knowledge base via Mem.ai — create notes, run AI semantic search, and organize collections.

  Ansehen
• 

  FastGPT KI-Connector

  Manage FastGPT Knowledge Bases — automate dataset creation, document ingestion, and RAG search directly from a

  Ansehen
• 

  rag-chunk-boundary-optimizer KI-Connector

  Analyzes text chunking strategies for RAG pipelines by measuring overlap, sentence integrity, and semantic con

  Ansehen
• 

  Bot9 KI-Connector

  Manage your AI agents via Bot9 — orchestrate bots, train them, and automate conversations directly from any AI

  Ansehen

Vorschläge

• 

  VectorShift (AI Workflow & RAG Automation) KI-Connector

  Automate AI workflows and RAG via VectorShift — manage pipelines, query knowledge bases, and deploy chatbots d

  Ansehen
• 

  RAG Chunk Optimization Calculator KI-Connector

  Deterministic tool for optimizing RAG chunk size and overlap parameters.

  Ansehen
• 

  Botsonic KI-Connector

  Train custom AI chatbots on your own data to deliver instant, accurate support that learns from your knowledge

  Ansehen
• 

  RAG Chunk Selection Optimizer KI-Connector

  A deterministic engine to select the most effective RAG information chunks within token budgets.

  Ansehen