Bring Event Streaming
to Google ADK
Create your Vinkius account to connect Keen 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 Keen MCP Server?
Connect your Keen.io project to any AI agent to automate data collection and analysis. This MCP server allows your agent to record events and run complex analytical queries (count, sum, average, etc.) directly from natural language.
What you can do
- Event Recording — Send custom event data to any collection in your project instantly
- Compute Metrics — Run aggregation queries like
count,sum, andaverageon your event data - Data Discovery — List all event collections, saved queries, and cached datasets
- Insight Extraction — Retrieve unique values for specific properties to understand data distribution
- Project Oversight — Get comprehensive metadata and configuration details for your Keen project
How it works
- Subscribe to this server
- Enter your Keen Project ID and Master Key
- Start streaming and analyzing data from Claude, Cursor, or any MCP client
Who is this for?
- Data Engineers — Quickly test event recording and verify collection schemas via natural language
- Product Analysts — Run ad-hoc metrics and aggregation queries without writing code
- Developers — Integrate event streaming checks and project status monitoring into your development workflow
Built-in capabilities (10)
Calculate average of a property
Count total events in a collection
Count unique values for a property
Get project configuration and details
List all event collections
List cached datasets
List all saved queries
Record a single event to a collection
List all unique values for a property
Sum numeric values of a property
Why Google ADK?
Google ADK natively supports Keen 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 Keen
- —
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Keen tools with BigQuery, Vertex AI, and Cloud Functions
Keen in Google ADK
Why run Keen with Vinkius?
The Keen 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 Keen using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Keen and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Keen 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
Keen for Google ADK
Every request between Google ADK and Keen 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 I record a single event using this agent?
Yes, the record_event tool allows you to send a JSON object representing your event directly to any named collection.
How do I calculate the average value of a property?
Use the average_property tool by specifying the collection name and the numeric target property you want to average.
Is it possible to see my project's collections?
Absolutely. The list_collections tool retrieves a list of all event types (collections) currently stored in your Keen project.
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
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