Kissmetrics MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kissmetrics through 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 Kissmetrics, 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 Kissmetrics MCP Server
Connect your Kissmetrics account to any AI agent to automate your user behavioral analytics and tracking workflows. This MCP server enables your agent to record events, manage user properties, and query complex metric data directly from natural language interfaces.
The Vercel AI SDK gives every Kissmetrics tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Behavior Tracking — Record custom events for specific users to monitor their journey and interactions
- Profile Management — Set and update user properties and metadata to maintain rich customer profiles
- Identity Resolution — Alias multiple identities to maintain a single, unified view of a user across sessions
- Data Discovery — List all defined event types and property names currently in your account
- Analytical Querying — Retrieve people counts and metric values over time to track business performance
The Kissmetrics MCP Server exposes 7 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 Kissmetrics to Vercel AI SDK via MCP
Follow these steps to integrate the Kissmetrics 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 7 tools from Kissmetrics and passes them to the LLM
Why Use Vercel AI SDK with the Kissmetrics MCP Server
Vercel AI SDK provides unique advantages when paired with Kissmetrics 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 Kissmetrics integration everywhere
Built-in streaming UI primitives let you display Kissmetrics 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
Kissmetrics + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kissmetrics MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kissmetrics in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kissmetrics tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kissmetrics capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kissmetrics through natural language queries
Kissmetrics MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Kissmetrics to Vercel AI SDK via MCP:
alias_identities
g., linking a browser ID to an email). Link two identities together
list_event_types
List all event types defined in the account
list_property_names
List all property names used in the account
query_metric_data
Requires a metric ID and query parameters. Get data for a specific metric
query_people_count
Get the count of people matching specific criteria
record_event
Requires a person identity (email/ID) and an event name. Record a behavior event for a person
set_person_properties
Set properties for a specific person
Example Prompts for Kissmetrics in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kissmetrics immediately.
"Record a 'Purchased' event for 'user@example.com' with price 49.99."
"Set the property 'Plan Tier' to 'Enterprise' for 'customer_123'."
"Show me all event types defined in my account."
Troubleshooting Kissmetrics MCP Server with Vercel AI SDK
Common issues when connecting Kissmetrics to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKissmetrics + Vercel AI SDK FAQ
Common questions about integrating Kissmetrics 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 Kissmetrics 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 Kissmetrics to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.