How to Use the FullStory MCP in OpenAI Agents SDK

Q: How do I fetch FullStory session recordings in OpenAI Agents SDK?

Use the listsessions tool to query for recordings based on your criteria. Once you identify the right session ID, call getsession to retrieve the playback link and detailed metadata.

Q: Can I purge data using FullStory tools inside OpenAI Agents SDK?

You can trigger deleteuser through your agent to handle privacy requests. This permanently erases the profile and associated telemetry from the platform.

Q: How does OpenAI Agents SDK handle MCP tool caching?

Set cacheToolsList=True when initializing your agent. This prevents constant re-polling of the server, keeping your agent's startup time fast.

Use the OpenAI Agents SDK to pull real-time session data and debug user friction points directly inside your production agent pipeline.

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Connect FullStory MCP to OpenAI Agents SDK

Create your Vinkius account to connect FullStory to OpenAI Agents SDK 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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Setup FullStory with OpenAI Agents SDK

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Full-stack session debugging for OpenAI Agents SDK

Your agent can now pull specific session metadata using `get_session` to see exactly what went wrong during a user's journey. It moves beyond generic logs by fetching structural DOM changes and error logs with `get_session_events`. This gives your agent the context it needs to resolve tickets without manual intervention. It's the difference between guessing a bug and watching it happen in real-time.

Sync CRM identities to your OpenAI Agents SDK

Keep your analytics clean by piping CRM data into your tracking boundary with `create_update_user`. Your agent uses this to map internal database IDs to specific visitor profiles. Once synced, the agent runs `list_users` to cross-reference behavior across devices. It ensures every action the agent takes is backed by accurate, current user history.

Automated event injection for OpenAI Agents SDK

Inject server-side metrics directly into your analytics pipeline using `create_event`. This bypasses frontend limitations and ensures your agent tracks backend-only state changes accurately. Your agent uses these events to trigger workflows based on granular user activity. It keeps your data model precise without relying on fragile client-side scripts.

Setup guide

Set up FullStory MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all FullStory tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives FullStory tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate FullStory tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="FullStory Agent",
            instructions="You have access to FullStory tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about FullStory MCP in OpenAI Agents SDK

Use the `list_sessions` tool to query for recordings based on your criteria. Once you identify the right session ID, call `get_session` to retrieve the playback link and detailed metadata.

Yes. Since your tools are auto-discovered, the SDK validates the agent's inputs against the MCP schema before execution. This prevents malformed requests from hitting the API.

You can trigger `delete_user` through your agent to handle privacy requests. This permanently erases the profile and associated telemetry from the platform.

Set `cacheToolsList=True` when initializing your agent. This prevents constant re-polling of the server, keeping your agent's startup time fast.

The server only touches the session and user data you explicitly query. Your agent acts as the gatekeeper, and you can restrict tool access if necessary.

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