Pendo MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pendo through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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();
* 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.
The Vercel AI SDK gives every Pendo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- 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 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.
How to Connect Pendo to Vercel AI SDK via MCP
Follow these steps to integrate the Pendo MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 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.
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 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pendo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pendo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pendo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pendo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pendo through natural language queries
Pendo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Pendo to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Pendo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPendo + Vercel AI SDK FAQ
Common questions about integrating Pendo MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.