Coze MCP Server for Claude Code 11 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Coze as an MCP server in one command and Claude Code will discover every tool at runtime — ideal for automation pipelines, CI/CD integration, and headless workflows via the Vinkius.
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Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Coze and 2,500+ MCP Servers from a single visual interface.
# Your Vinkius token — get it at cloud.vinkius.com
claude mcp add coze --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Coze MCP Server
Connect your AI agents to Coze (扣子), the advanced bot orchestration platform by ByteDance. This MCP provides 11 tools to manage the full lifecycle of your bots, from chat interactions to knowledge base document ingestion.
Claude Code registers Coze as an MCP server in a single terminal command. Once connected, Claude Code discovers all 11 tools at runtime and can call them headlessly — ideal for CI/CD pipelines, cron jobs, and automated workflows where Coze data drives decisions without human intervention.
What you can do
- Bot Interaction — Chat with published bots and handle multi-turn conversations with persistent history
- Knowledge Engineering — Upload, list, and delete documents in knowledge base datasets for RAG optimization
- Workspace Management — List available spaces and published bots to monitor your AI ecosystem
- Action Handling — Submit tool outputs when bots require human-in-the-loop or external plugin results
The Coze MCP Server exposes 11 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Coze to Claude Code via MCP
Follow these steps to integrate the Coze MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Coze
Ask Claude: "Using Coze, show me..." — 11 tools are ready
Why Use Claude Code with the Coze MCP Server
Claude Code provides unique advantages when paired with Coze through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly — no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Coze tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Coze + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Coze MCP Server delivers measurable value.
CI/CD integration: embed Coze tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Coze nightly and generate reports without human intervention
Shell scripting: pipe Coze outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Coze status endpoints and alert on anomalies
Coze MCP Tools for Claude Code (11)
These 11 tools become available when you connect Coze to Claude Code via MCP:
clear_conversation
Clear all messages from a conversation session
create_chat
Send a message to a Coze bot and get a response
delete_document
Delete documents from a dataset by ID
get_conversation_history
Retrieve the message list from a conversation
list_bots
List published bots in a specific Coze Space
list_datasets
List knowledge base datasets in a Coze Space
list_workspaces
List available Coze workspaces/spaces
publish_bot
Publish a Coze Bot draft
submit_tool_outputs
Submit outputs for tools/plugins required by the bot
upload_document
Upload a raw text document to a Knowledge Base
upload_file_url
Upload an external file URL to Coze storage
Example Prompts for Coze in Claude Code
Ready-to-use prompts you can give your Claude Code agent to start working with Coze immediately.
"Chat with bot 'bot_123' and ask 'Tell me about the history of Tokyo'."
"List all active workspaces in my Coze account."
"Upload the content of 'manual.txt' to dataset 'ds_999'."
Troubleshooting Coze MCP Server with Claude Code
Common issues when connecting Coze to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Coze + Claude Code FAQ
Common questions about integrating Coze MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Coze with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Coze to Claude Code
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.