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Pendo MCP Server for Vercel AI SDKGive Vercel AI 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 Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pendo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The Pendo app connector for Vercel AI 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

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Pendo, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Pendo
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* 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 Vercel AI SDK gives every Pendo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Pendo and passes them to the LLM

Why Use Vercel AI SDK with the Pendo MCP Server

Vercel AI SDK provides unique advantages when paired with Pendo through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Pendo integration everywhere

03

Built-in streaming UI primitives let you display Pendo tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Pendo + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Pendo MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Pendo in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Pendo tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Pendo capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Pendo through natural language queries

Example Prompts for Pendo in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pendo + Vercel AI SDK FAQ

Common questions about integrating Pendo MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.