Coze MCP Server for Google ADK 11 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Coze as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="coze_agent",
instruction=(
"You help users interact with Coze "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Coze as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Coze MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 11 tools from Coze via MCP
Why Use Google ADK with the Coze MCP Server
Google ADK provides unique advantages when paired with Coze through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Coze
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Coze tools with BigQuery, Vertex AI, and Cloud Functions
Coze + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Coze MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Coze and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Coze tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Coze regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Coze
Coze MCP Tools for Google ADK (11)
These 11 tools become available when you connect Coze to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Coze to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkCoze + Google ADK FAQ
Common questions about integrating Coze MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Coze with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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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 Google ADK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
