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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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
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