Bring Product Adoption
to Vercel AI SDK
Learn how to connect Pendo to Vercel AI SDK 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 Vercel AI SDK?
The Vercel AI SDK gives every Pendo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Pendo integration everywhere
- —
Built-in streaming UI primitives let you display Pendo tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Pendo in Vercel AI SDK
Pendo and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Pendo to Vercel AI SDK 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 Vercel AI SDK
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 Vercel AI SDK 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 Vercel AI SDK
Every tool call from Vercel AI SDK 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 the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp