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Pendo MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Get Pendo Account Details, Get Pendo Guide Details, Get Pendo Visitor Details, and more

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pendo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The Pendo app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Pendo Assistant",
            instructions=(
                "You help users interact with Pendo. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Pendo"
        )
        print(result.final_output)

asyncio.run(main())
Pendo
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 account to any AI agent and take full control of your product orchestration and user engagement through natural conversation. Pendo provides a world-class platform for understanding how users interact with your software, and this integration allows you to retrieve usage metadata, manage in-app guides, and run complex aggregations directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 11 tools from Pendo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pendo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Usage & Analytics Orchestration — Run powerful aggregations programmatically to understand feature adoption and user behavior via natural language.
  • Metadata & Profile Control — Update custom visitor and account metadata directly from the AI interface to ensure your CRM and success data are always synchronized.
  • Guide Lifecycle Management — List all managed guides and retrieve detailed metadata to maintain a clear overview of your in-app messaging strategy.
  • Feature & Page Intelligence — Access and monitor tagged features and pages to track engagement and identify bottlenecks using simple AI commands.
  • Operational Monitoring — Track system responses and manage regional data centers (US, EU, JPN, AU) to ensure your analytics pipeline is always optimized.

The Pendo 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.

All 11 Pendo tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Pendo through Vinkius, your AI agent gets direct access to every tool listed below — spanning product-analytics, user-behavior, in-app-guides, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_pendo_account_details

Get details for a specific account

get_pendo_guide_details

Get details for a specific guide

get_pendo_visitor_details

Get details for a specific visitor

list_pendo_features

List tagged features

list_pendo_guides

List all in-app guides

list_pendo_pages

List tagged pages

list_reports

List all analytics reports

list_segments

List all user segments

run_pendo_aggregation

Perform complex analytics and grouping

update_account_metadata

Update custom account metadata

update_visitor_metadata

Update custom visitor metadata

Connect Pendo to OpenAI Agents SDK via MCP

Follow these steps to wire Pendo into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 11 tools from Pendo

Why Use OpenAI Agents SDK with the Pendo MCP Server

OpenAI Agents SDK provides unique advantages when paired with Pendo through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Pendo + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Pendo MCP Server delivers measurable value.

01

Automated workflows: build agents that query Pendo, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Pendo, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Pendo tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Pendo to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Pendo in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pendo immediately.

01

"List all active in-app guides in my Pendo account."

02

"Show me the feature adoption analytics for the new dashboard module launched last month."

03

"List all active in-app guides and their completion metrics."

Troubleshooting Pendo MCP Server with OpenAI Agents SDK

Common issues when connecting Pendo to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Pendo + OpenAI Agents SDK FAQ

Common questions about integrating Pendo MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.