How to Use the Keen MCP in Pydantic AI

Use Pydantic AI with Keen to enforce strict schema validation for every analytics query.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Keen MCP to Pydantic AI

Create your Vinkius account to connect Keen to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Keen with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe Keen queries for Pydantic AI

Every response from `count_events` or `sum_property` is validated against your models. If Keen returns malformed data, your agent stops immediately. This prevents silent bugs from propagating through your agent's decision logic. You get a guarantee that the data your agent processes matches your expected schema.

Reliable event recording with Pydantic AI

Validate your event structure using Pydantic models before calling `record_event`. It ensures only clean, expected data hits your Keen collections. This stops schema pollution at the source. Your agent acts as a gatekeeper, discarding any data that doesn't meet your strict requirements.

Tool-based project inspection in Pydantic AI

Your agent uses `get_project_details` to verify the state of your integration. It validates the configuration before executing any data-heavy queries. This makes your agent robust against configuration drift. It detects issues in your Keen project setup early, before they cause runtime failures.

Setup guide

Set up Keen MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "keen-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Keen tools.",
)

result = await agent.run("List recent Keen transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Keen. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Keen now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Keen MCP in Pydantic AI

It forces type safety on your analytics. If an agent tries to process a Keen event that doesn't fit your Pydantic model, it errors out instead of guessing.

Absolutely. The framework handles the validation automatically. If a tool returns unexpected fields, you'll see a clear error message.

Yes, you use the MCPToolset. It's the standard way to bring the Keen tools into your agent's scope with full type support.

The server acts as a strictly defined conduit. Only the tools you explicitly allow are reachable, and your data is protected by your project's access keys.

Validation is fast. The overhead is negligible compared to the network time, and you gain massive reliability by stopping bad data in its tracks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python