Pendo MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pendo through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"pendo": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pendo Agent",
instructions:
"You help users interact with Pendo " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pendo?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Pendo tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Pendo MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Pendo via MCP
Why Use Mastra AI with the Pendo MCP Server
Mastra AI provides unique advantages when paired with Pendo through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pendo without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Pendo tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Pendo + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pendo MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pendo, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pendo as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pendo on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pendo tools alongside other MCP servers
Pendo MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Pendo to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Pendo to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPendo + Mastra AI FAQ
Common questions about integrating Pendo MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.