PostHog MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add PostHog as an MCP tool provider through 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="posthog_agent",
tools=tools,
system_message=(
"You help users with PostHog. "
"10 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 PostHog MCP Server
Connect your PostHog project to any AI agent and take full control of your product analytics and feature management through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use PostHog tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Insight Exploration — List and retrieve detailed metadata for saved insights, including trends, funnels, and retention charts.
- User Tracking — List identified persons and inspect their properties to understand individual user behavior.
- Feature Management — Maintain a clear view of all feature flags and their current configurations.
- Experiment Monitoring — List active and past experiments to track product improvements and results.
- Event Auditing — List the most recent events captured by your project to verify data ingestion and user actions.
The PostHog MCP Server exposes 10 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 PostHog to AutoGen via MCP
Follow these steps to integrate the PostHog 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 10 tools from PostHog automatically
Why Use AutoGen with the PostHog MCP Server
AutoGen provides unique advantages when paired with PostHog through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use PostHog tools to solve complex tasks
Role-based architecture lets you assign PostHog 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 PostHog tool calls
Code execution sandbox: AutoGen agents can write and run code that processes PostHog tool responses in an isolated environment
PostHog + AutoGen Use Cases
Practical scenarios where AutoGen combined with the PostHog MCP Server delivers measurable value.
Collaborative analysis: one agent queries PostHog while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from PostHog, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using PostHog data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process PostHog responses in a sandboxed execution environment
PostHog MCP Tools for AutoGen (10)
These 10 tools become available when you connect PostHog to AutoGen via MCP:
get_event
Get details for a specific event
get_insight
Get details for a specific insight
get_person
Get details for a specific person
list_actions
List defined user actions
list_dashboards
List project dashboards
list_events
List recent project events
list_experiments
List all active and past experiments
list_feature_flags
List all feature flags
list_insights
) for the project. List PostHog insights
list_persons
List identified persons/users
Example Prompts for PostHog in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with PostHog immediately.
"List all saved insights in our PostHog project."
"Check the status of all feature flags."
"List the last 5 persons identified in our project."
Troubleshooting PostHog MCP Server with AutoGen
Common issues when connecting PostHog to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"PostHog + AutoGen FAQ
Common questions about integrating PostHog 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 PostHog 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 PostHog to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
