Bring Coze
to LangChain
Create your Vinkius account to connect Coze to LangChain and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Sign up at Coze.com or Coze.cn
- Generate a Personal Access Token (PAT) from your profile settings
- Identify your Base URL (e.g.,
https://api.coze.comfor international orhttps://api.coze.cnfor China) - Connect your account to Vurb to start automating your bot workflows.
Who is this for?
- Knowledge Engineers — automate the ingestion of documentation across multiple datasets
- RAG Developers — debug semantic search results and optimize chunking strategies programmatically
- System Integrators — build complex AI workflows that require dynamic knowledge base management
Built-in capabilities (11)
Clear all messages from a conversation session
Send a message to a Coze bot and get a response
Delete documents from a dataset by ID
Retrieve the message list from a conversation
List published bots in a specific Coze Space
List knowledge base datasets in a Coze Space
List available Coze workspaces/spaces
Publish a Coze Bot draft
Submit outputs for tools/plugins required by the bot
Upload a raw text document to a Knowledge Base
Upload an external file URL to Coze storage
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Coze through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Coze MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Coze queries for multi-turn workflows
Coze in LangChain
Why run Coze with Vinkius?
The Coze connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Coze using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Coze and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Coze to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Coze for LangChain
Every request between LangChain and Coze is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
Can I automatically list all published bots in a space?
Yes! Use the list_bots tool with your Space ID. Your agent will return a list of all bots that have been published and are ready for interaction.
How do I upload a new document to my knowledge base?
Use the upload_document tool with the target Dataset ID and the raw text content. Your agent will handle the ingestion process into the Coze RAG engine.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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