FullStory MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect FullStory through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="FullStory Assistant",
instructions=(
"You help users interact with FullStory. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from FullStory"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About FullStory MCP Server
Connect your FullStory account to any AI agent to automate your digital experience intelligence (DXI) and product analytics workflows through the Model Context Protocol (MCP). FullStory provides a comprehensive view of how users interact with your site or app. This MCP server enables you to manage user profiles, track server-side events, and retrieve session metadata and playback links directly through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from FullStory through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries FullStory, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
Key Features
- User Lifecycle Management — List all captured users, fetch detailed profile metadata, and upsert records to maintain accurate identity mapping.
- Session Oversight — Retrieve a list of recording sessions for specific users and access playback URLs to visualize the customer journey.
- Interaction Events — Fetch the complete set of captured events (clicks, navigations, custom events) for any specific session ID.
- Server-Side Tracking — Log custom interaction events programmatically from your backend to enrich your FullStory datasets.
- Segment Discovery — Access and list configured user segments to understand high-level audience behavior.
- Data Exports — Monitor and list generated raw data bundles for deeper analytical processing.
- Privacy Compliance — Programmatically delete user data to support GDPR and CCPA requests via simple AI commands.
The FullStory MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect FullStory to OpenAI Agents SDK via MCP
Follow these steps to integrate the FullStory MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 11 tools from FullStory
Why Use OpenAI Agents SDK with the FullStory MCP Server
OpenAI Agents SDK provides unique advantages when paired with FullStory through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
FullStory + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the FullStory MCP Server delivers measurable value.
Automated workflows: build agents that query FullStory, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries FullStory, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through FullStory tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query FullStory to resolve tickets, look up records, and update statuses without human intervention
FullStory MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect FullStory to OpenAI Agents SDK via MCP:
create_event
Automatically mapped for server-side metrics injection that bypassed the frontal JavaScript client. Dispatch a custom backend event into FullStory
create_update_user
Used to synchronize custom tenant data into the FullStory analytics boundary for enhanced session context. Upsert a user identity into FullStory tracking
delete_user
Permanently removes privacy-sensitive telemetry, custom property links, and session aggregations inside FullStory. Erase a user profile and their associated session history
get_account_info
Validates live integration capability and fetches workspace scope definitions. Verify authentication and retrieve basic platform stats
get_session
Resolves page transitions, total active time, event markers, and active direct access tracking links. Retrieve deep metadata for a specific session recording
get_session_events
Exposes click trails, navigation mutations, error logs, and precise structural DOM changes. Fetch the chronological telemetry events for a session
get_user
Retrieves raw session metadata, total session durations, custom variables, and cross-device interaction boundaries. Get full tracking profile and behavior history for a specific user
list_exports
Resolves the status of bulk data offloads, processing states, and download URIs for warehouse ingestion. List raw data export jobs available for download
list_segments
Resolves saved audience definitions, population counts across the last 30 days, and logical filter structures. List dynamic audience segments built in FullStory
list_sessions
Resolves a subset of sessions matching provided JSON query criteria, exposing playback links, browser signatures, and metric overlays. List or search session recordings based on telemetry
list_users
Resolves user identities, custom parameters, session counts, and aggregate behavioral profiles across the analytics boundary. Query the FullStory subscriber and visitor directory for analytics
Example Prompts for FullStory in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with FullStory immediately.
"List the last 5 sessions for user UID 'user_12345'."
"Show me the full profile details for FullStory ID '123:456'."
"Track a server event 'Subscription Renewed' for user 'johndoe@email.com'."
Troubleshooting FullStory MCP Server with OpenAI Agents SDK
Common issues when connecting FullStory to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
FullStory + OpenAI Agents SDK FAQ
Common questions about integrating FullStory MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect FullStory with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FullStory to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
