FullStory MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add FullStory as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="fullstory_agent",
tools=tools,
system_message=(
"You help users with FullStory. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use FullStory tools. Connect 11 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the FullStory MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 11 tools from FullStory automatically
Why Use AutoGen with the FullStory MCP Server
AutoGen provides unique advantages when paired with FullStory through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use FullStory tools to solve complex tasks
Role-based architecture lets you assign FullStory tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive FullStory tool calls
Code execution sandbox: AutoGen agents can write and run code that processes FullStory tool responses in an isolated environment
FullStory + AutoGen Use Cases
Practical scenarios where AutoGen combined with the FullStory MCP Server delivers measurable value.
Collaborative analysis: one agent queries FullStory while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from FullStory, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using FullStory data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process FullStory responses in a sandboxed execution environment
FullStory MCP Tools for AutoGen (11)
These 11 tools become available when you connect FullStory to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting FullStory to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"FullStory + AutoGen FAQ
Common questions about integrating FullStory MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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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 AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
