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.

Coze MCP Server for AutoGen 11 tools — connect in under 2 minutes

Name: Coze
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 11 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Coze as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="coze_agent",
            tools=tools,
            system_message=(
                "You help users with Coze. "
                "11 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Coze tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Coze MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 11 tools from Coze automatically

Why Use AutoGen with the Coze MCP Server

AutoGen provides unique advantages when paired with Coze through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Coze tools to solve complex tasks

Role-based architecture lets you assign Coze tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Coze tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Coze tool responses in an isolated environment

Coze + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Coze MCP Server delivers measurable value.

Collaborative analysis: one agent queries Coze while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Coze, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Coze data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Coze responses in a sandboxed execution environment

Coze MCP Tools for AutoGen (11)

These 11 tools become available when you connect Coze to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

Common issues when connecting Coze to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Coze + AutoGen FAQ

Common questions about integrating Coze MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Coze tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.