How to Use the OpenPanel MCP in Pydantic AI

Type-safe analytics integration for your Pydantic AI agent architecture.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect OpenPanel MCP to Pydantic AI

Create your Vinkius account to connect OpenPanel to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup OpenPanel with Pydantic AI

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Strict validation with Pydantic AI

Every response from this MCP server is validated against your schema. If `track_event` returns malformed data, your agent catches it immediately. This prevents your analytics pipeline from being poisoned by unexpected API responses or corrupted payloads.

Managing user profiles in Pydantic AI

Call `identify_user` to register your user traits. Pydantic AI ensures the data types match your requirements before the tool executes. This keeps your user profiles consistent and reliable, which is critical for accurate reporting.

Tool execution safety

Use `increment_property` and `decrement_property` knowing the inputs are validated. The agent will raise an error if you pass invalid numeric types. This strictness guarantees that your analytics state remains accurate and free from type-related bugs during agent execution.

Setup guide

Set up OpenPanel 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": {
        "openpanel-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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