Bring Product Analytics
to Mastra AI
Learn how to connect Pendo to Mastra AI and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Pendo Integration Key and regional Base URL from your settings
3. Start managing your product analytics from Claude, Cursor, or any MCP-compatible client
No more manual exporting of usage reports or context switching for user profiles. Your AI acts as a dedicated product analyst or customer success manager.
Who is this for?
- Product Managers — quickly retrieve feature adoption summaries and monitor guide performance without switching apps.
- Customer Success Teams — automate the update of account health metadata and track visitor activity via natural conversation.
- Growth Marketers — streamline the retrieval of user segments and monitor engagement trends directly within the chat.
Built-in capabilities (11)
Get details for a specific account
Get details for a specific guide
Get details for a specific visitor
List tagged features
List all in-app guides
List tagged pages
List all analytics reports
List all user segments
Perform complex analytics and grouping
Update custom account metadata
Update custom visitor metadata
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Pendo tool infrastructure. Connect 11 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.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pendo without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Pendo tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Pendo in Mastra AI
Pendo and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Pendo to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Pendo in Mastra AI
The Pendo 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Pendo for Mastra AI
Every tool call from Mastra AI to the Pendo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically run a data aggregation for unique visitors?
Yes! Use the run_aggregation tool. Provide the aggregation logic (following Pendo's JSON syntax), and your agent will respond with complete metadata and result sets in seconds.
Where do I find my Pendo Integration Key?
Log in as an Admin, navigate to Settings > Integrations, select the Integration Keys tab, and create a new key with the required permissions.
Does this work with EU or Japan instances?
Yes! During setup, you can specify your regional base URL (e.g., app.eu.pendo.io or app.jpn.pendo.io) to ensure the MCP server connects to the correct data center.
How does Mastra AI connect to MCP servers?
Create an 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?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp