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.

Keen MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Keen
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Keen through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Keen Assistant",
            instructions=(
                "You help users interact with Keen. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Keen"
        )
        print(result.final_output)

asyncio.run(main())

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IAMAccess control

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V8 IsolateSandboxed

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<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.

The OpenAI Agents SDK auto-discovers all 10 tools from Keen through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Keen, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Keen MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Keen

Why Use OpenAI Agents SDK with the Keen MCP Server

OpenAI Agents SDK provides unique advantages when paired with Keen through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Keen + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Keen MCP Server delivers measurable value.

Automated workflows: build agents that query Keen, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Keen, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Keen tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Keen to resolve tickets, look up records, and update statuses without human intervention

Keen MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Keen to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Keen to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Keen + OpenAI Agents SDK FAQ

Common questions about integrating Keen MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.