2,500+ MCP servers ready to use
Vinkius

Heap MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Heap, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Heap
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Heap MCP Server

Connect your Heap.io analytics account to any AI agent and take full control of your product data and user identity management through natural conversation.

The Vercel AI SDK gives every Heap tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Event Tracking — Send custom server-side events to Heap to capture granular user interactions.
  • User Identification — Associate anonymous sessions with specific identities and set custom profile properties.
  • Segment Management — List all segments defined in your project to understand your user cohorts.
  • Event Definitions — Access your custom event definitions to stay aligned with your analytics schema.
  • Bulk Operations — Track multiple events or update several user profiles in a single high-throughput request.
  • GDPR Compliance — Permanently delete user data directly from the chat interface when requested.
  • Query Profiles — Filter and retrieve user profiles based on specific behavior or attributes.

The Heap MCP Server exposes 12 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 Heap to Vercel AI SDK via MCP

Follow these steps to integrate the Heap MCP Server with Vercel AI SDK.

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 12 tools from Heap and passes them to the LLM

Why Use Vercel AI SDK with the Heap MCP Server

Vercel AI SDK provides unique advantages when paired with Heap 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 Heap integration everywhere

03

Built-in streaming UI primitives let you display Heap 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

Heap + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Heap MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Heap to Vercel AI SDK via MCP:

01

add_account_properties

Add or update properties for an account (group of users)

02

add_user_properties

Add or update custom properties for a user profile

03

bulk_add_user_properties

Update properties for multiple users in a single request

04

bulk_track_events

Track multiple events concurrently for high-throughput

05

delete_user_data

Permanently delete a user and all their associated data (GDPR)

06

get_api_usage

Check current API usage and project status

07

get_event_definitions

List all custom event definitions in Heap

08

get_my_profile

Get information about the authenticated API key

09

get_segments

List all segments defined in your Heap project

10

identify_user

Associate an anonymous session with a specific user identity

11

query_user_profiles

Query and filter user profiles based on criteria

12

track_event

Properties should be a JSON string. Track a server-side event for a user in Heap

Example Prompts for Heap in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Heap immediately.

01

"Track event 'Checkout Started' for user 'user_992' with properties {'value': 49.99}."

02

"List all active segments in the project."

03

"Identify user 'anon_552' as 'john.doe@example.com'."

Troubleshooting Heap MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Heap + Vercel AI SDK FAQ

Common questions about integrating Heap 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.

Connect Heap to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.