2,500+ MCP servers ready to use
Vinkius

Keen MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Keen as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
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="keen_agent",
    instruction=(
        "You help users interact with Keen "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Keen
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
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 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.

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.

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, and average on 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

The Keen MCP Server exposes 10 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 Keen to Google ADK via MCP

Follow these steps to integrate the Keen MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Keen via MCP

Why Use Google ADK with the Keen MCP Server

Google ADK provides unique advantages when paired with Keen through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Keen

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Keen tools with BigQuery, Vertex AI, and Cloud Functions

Keen + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Keen MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Keen and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Keen tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Keen regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Keen

Keen MCP Tools for Google ADK (10)

These 10 tools become available when you connect Keen to Google ADK via MCP:

01

average_property

Calculate average of a property

02

count_events

Count total events in a collection

03

count_unique

Count unique values for a property

04

get_project_details

Get project configuration and details

05

list_collections

List all event collections

06

list_datasets

List cached datasets

07

list_saved_queries

List all saved queries

08

record_event

Record a single event to a collection

09

select_unique

List all unique values for a property

10

sum_property

Sum numeric values of a property

Example Prompts for Keen in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Keen immediately.

01

"Record a 'purchase' event with price 99.99 and user 'user_123' in Keen."

02

"What is the total count of 'page_view' events?"

03

"Show me all saved queries in my project."

Troubleshooting Keen MCP Server with Google ADK

Common issues when connecting Keen to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Keen + Google ADK FAQ

Common questions about integrating Keen MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Keen to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.