Bring Product Adoption
to Mastra AI
Learn how to connect Pendo to Mastra AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your Pendo Integration Key
3. Start optimizing your product experience from Claude, Cursor, or any MCP client
Who is this for?
- Product Managers — quickly check guide performance or verify if a feature is correctly tagged.
- Customer Success Managers — lookup visitor activity and account metadata during high-pressure support cases.
- Growth Engineers — audit segments and metadata schemas while implementing new tracking events.
Built-in capabilities (10)
Get details for a specific account
Get details for a specific guide
Get performance metrics for a guide
Get details for a specific visitor
List applications tracked in the Pendo subscription
List tagged features
) defined in Pendo. List Pendo guides
List metadata schema definitions
List tagged pages
List saved user segments
Why Mastra AI?
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.
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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 10 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
How do I find my Pendo Integration Key?
In Pendo, navigate to Settings > Integrations. There you can find or generate your Integration Key for API access.
Can I see real-time statistics for my guides?
Yes! Use the get_pendo_guide_metrics tool with a Guide ID to retrieve live data on views, clicks, and completion rates.
Does this support looking up individual user metadata?
Absolutely. Use the get_pendo_visitor tool to retrieve all identified properties, account association, and activity history for a specific user ID.
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