Pendo 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 Pendo 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="pendo_agent",
tools=tools,
system_message=(
"You help users with Pendo. "
"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 Pendo MCP Server
Connect your Pendo subscription to any AI agent and take full control of your product adoption and user engagement workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Pendo 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
- Guide Management — List all in-app guides and retrieve detailed metadata and performance metrics.
- User & Account Insights — Look up detailed profiles for visitors and accounts to understand their journey.
- Product Tagging Auditing — List defined pages and features to verify your product instrumentation.
- Metadata Schema Discovery — Retrieve schemas for visitor and account metadata to understand available data points.
- Segment Overview — List saved user segments to maintain visibility over your audience targeting.
The Pendo 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 Pendo to AutoGen via MCP
Follow these steps to integrate the Pendo 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 Pendo automatically
Why Use AutoGen with the Pendo MCP Server
AutoGen provides unique advantages when paired with Pendo through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Pendo tools to solve complex tasks
Role-based architecture lets you assign Pendo 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 Pendo tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Pendo tool responses in an isolated environment
Pendo + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Pendo MCP Server delivers measurable value.
Collaborative analysis: one agent queries Pendo while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Pendo, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Pendo data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Pendo responses in a sandboxed execution environment
Pendo MCP Tools for AutoGen (10)
These 10 tools become available when you connect Pendo to AutoGen via MCP:
get_pendo_account
Get details for a specific account
get_pendo_guide
Get details for a specific guide
get_pendo_guide_metrics
Get performance metrics for a guide
get_pendo_visitor
Get details for a specific visitor
list_pendo_applications
List applications tracked in the Pendo subscription
list_pendo_features
List tagged features
list_pendo_guides
) defined in Pendo. List Pendo guides
list_pendo_metadata_schema
List metadata schema definitions
list_pendo_pages
List tagged pages
list_pendo_segments
List saved user segments
Example Prompts for Pendo in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Pendo immediately.
"List all active guides in my Pendo account."
"Get metadata for visitor 'user@example.com'."
"Show me the performance metrics for the guide 'guide_98765'."
Troubleshooting Pendo MCP Server with AutoGen
Common issues when connecting Pendo to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Pendo + AutoGen FAQ
Common questions about integrating Pendo 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 Pendo 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 Pendo to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
