Keen MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Keen as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="keen_agent",
tools=tools,
system_message=(
"You help users with Keen. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Keen tools. Connect 10 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
- 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
The Keen MCP Server exposes 10 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 Keen to AutoGen via MCP
Follow these steps to integrate the Keen 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 10 tools from Keen automatically
Why Use AutoGen with the Keen MCP Server
AutoGen provides unique advantages when paired with Keen through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Keen tools to solve complex tasks
Role-based architecture lets you assign Keen 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 Keen tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Keen tool responses in an isolated environment
Keen + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Keen MCP Server delivers measurable value.
Collaborative analysis: one agent queries Keen while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Keen, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Keen data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Keen responses in a sandboxed execution environment
Keen MCP Tools for AutoGen (10)
These 10 tools become available when you connect Keen to AutoGen via MCP:
average_property
Calculate average of a property
count_events
Count total events in a collection
count_unique
Count unique values for a property
get_project_details
Get project configuration and details
list_collections
List all event collections
list_datasets
List cached datasets
list_saved_queries
List all saved queries
record_event
Record a single event to a collection
select_unique
List all unique values for a property
sum_property
Sum numeric values of a property
Example Prompts for Keen in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Keen immediately.
"Record a 'purchase' event with price 99.99 and user 'user_123' in Keen."
"What is the total count of 'page_view' events?"
"Show me all saved queries in my project."
Troubleshooting Keen MCP Server with AutoGen
Common issues when connecting Keen to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Keen + AutoGen FAQ
Common questions about integrating Keen MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Keen 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Keen to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
