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How to Use the FullStory MCP in Pydantic AI

Build type-safe analytics agents with Pydantic AI and FullStory, ensuring every session lookup hits your strict data models.

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Works with every AI agent you already use

…and any MCP-compatible client

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Pydantic AI

Connect FullStory MCP to Pydantic AI

Create your Vinkius account to connect FullStory 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.

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Type-safe session analysis with Pydantic AI

Every response from `get_session` is validated against your Pydantic models at runtime. If the API returns unexpected fields, your agent fails immediately rather than processing bad data. This gives you total confidence in the telemetry your agent consumes. You define the structure, and the MCP server ensures the data matches.

User profile management for Pydantic AI

Synchronize your visitors using `create_update_user` with full validation of every property field. Your agent enforces strict schemas before sending data to the platform. It eliminates silent errors and keeps your user directory clean. Your agent only pushes data that meets your defined requirements.

Audience segment querying for Pydantic AI

Fetch and parse your audience segments using `list_segments` into typed Python objects. Your agent uses these to filter `list_users` results with absolute precision. This prevents the common issue of hallucinated filters. Your agent acts only on segment definitions that exist and validate correctly.

Setup guide

Set up FullStory MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "fullstory-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FullStory. 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

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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 FullStory MCP in Pydantic AI

The agent throws a validation error immediately. This stops the workflow before any corrupted data can propagate through your system.
Yes, use the `MCPToolset` class. It integrates seamlessly with the framework to provide a unified interface for all 11 available tools.
Yes, call `delete_user` within a tool-use flow. Because it's type-safe, you ensure the user ID provided is always in the correct format.
Yes, the MCP server supports both HTTP and SSE. You can choose the transport that best fits your infrastructure needs.
Your agent only accesses the fields you explicitly model. By strictly defining what data is allowed, you minimize exposure and keep PII confined to your trusted schemas.

Start using the FullStory MCP today

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Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for FullStory. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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