Bring Multi Agent Systems
to Google ADK
Create your Vinkius account to connect AutoGen to Google ADK and start using all 10 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.
Compatible with every major AI agent and IDE
What is the AutoGen MCP Server?
Connect your AutoGen Studio instance to any AI agent and take full control of your multi-agent topologies and execution memory spaces through natural conversation.
What you can do
- Sessions — Create and manage blank, isolated memory spaces for your multi-agent workflows to run cleanly
- Messages — Dispatch human prompts and retrieve deep agent-to-agent conversational traces inside Microsoft's logging structures
- Agents — Map out and dynamically define customized LLM roles (User_Proxy, Coder, Critic) using Python-based parameters
- Workflows & Skills — Visualize routing topographies, available graph deployments, and injected native Python capabilities
- Models — Audit existing constrained fallback OpenAI configurations natively stored in the engine
How it works
- Subscribe to this server
- Provide your AutoGen Studio instance Base URL
- Start dispatching nested groups of AI agents directly from Claude, Cursor, or any MCP-compatible client
Your primary agent can now command and debug secondary swarms of specialized agents dynamically.
Who is this for?
- AI Engineers — audit running agent topologies, trace deep execution logs, and iterate on Python skills without swapping contexts
- Product Managers — verify the health and steps of automated backend swarm operations
- Researchers — easily extract deep LLM-to-LLM conversational histories across experimental boundaries for grading
Built-in capabilities (10)
Define a new customized AutoGen agent
Send a user message to initiate or continue an AutoGen session
Create a new blank AutoGen session
Permanently delete an AutoGen session
List all configured AutoGen agents available
Retrieve the message history for a specific AutoGen session
List Large Language Models configured for use in AutoGen
List AutoGen Studio conversation sessions
List Python skill functions available to AutoGen agents
List all predefined AutoGen multi-agent workflows
Why Google ADK?
Google ADK natively supports AutoGen as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
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 AutoGen
- —
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 AutoGen tools with BigQuery, Vertex AI, and Cloud Functions
AutoGen in Google ADK
Why run AutoGen with Vinkius?
The AutoGen 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 10 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 AutoGen using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
AutoGen and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect AutoGen to Google ADK 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
AutoGen for Google ADK
Every request between Google ADK and AutoGen 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
Can my AI agent debug a looping multi-agent conversation?
Yes. You can instruct your primary agent to retrieve the message traces for a specific AutoGen session ID. It will instantly unpack the internal LLM-to-LLM conversation, highlighting exactly which secondary agent is looping, throwing errors, or deviating from the constraints without manual log parsing.
How do I add a new Python capability or skill dynamicly?
Your agent can list currently mapped Python skills bound to the studio runtime. If you need a new capability, your primary AI can iterate on the script directly on your CLI/editor and once deployed in your studio, you can map it natively to customized agents via the creation parameters.
Can it trigger a Workflow to start executing a new complex task?
Absolutely. Ask your agent to create a fresh, blank, and completely isolated session, then dispatch a newly constructed 'human message' targeting an existing Multi-Agent workflow topology. It initiates the whole automated logic sequence securely and remotely.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
Explore More MCP Servers
View all →
Xweather Renewable
12 toolsAccess weather forecasts, solar irradiance, and renewable energy farm data via Vaisala Xweather API for wind and solar assessment.

TNZ Communications
12 toolsSend SMS, Voice (TTS), and Fax messages via TNZ directly from your AI agent.

Billplz
11 toolsManage your payment collections via Billplz — list collections, bills, and transactions directly from any AI agent.

DOJ NCVS Crime Data
6 toolsAccess US crime statistics — audit victimization data and safety via AI.
