Keen 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 Keen 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 Keen, 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 Keen MCP Server
Connect your Keen.io project to any AI agent to automate data collection and analysis. This MCP server allows your agent to record events and run complex analytical queries (count, sum, average, etc.) directly from natural language.
The Vercel AI SDK gives every Keen 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.
What you can do
- Event Recording — Send custom event data to any collection in your project instantly
- Compute Metrics — Run aggregation queries like
count,sum, andaverageon your event data - Data Discovery — List all event collections, saved queries, and cached datasets
- Insight Extraction — Retrieve unique values for specific properties to understand data distribution
- Project Oversight — Get comprehensive metadata and configuration details for your Keen project
The Keen 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 Keen to Vercel AI SDK via MCP
Follow these steps to integrate the Keen 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 Keen and passes them to the LLM
Why Use Vercel AI SDK with the Keen MCP Server
Vercel AI SDK provides unique advantages when paired with Keen 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 Keen integration everywhere
Built-in streaming UI primitives let you display Keen 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
Keen + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Keen MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Keen in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Keen tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Keen capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Keen through natural language queries
Keen MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Keen to Vercel AI SDK via MCP:
average_property
Calculate average of a property
count_events
Count total events in a collection
count_unique
Count unique values for a property
get_project_details
Get project configuration and details
list_collections
List all event collections
list_datasets
List cached datasets
list_saved_queries
List all saved queries
record_event
Record a single event to a collection
select_unique
List all unique values for a property
sum_property
Sum numeric values of a property
Example Prompts for Keen in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Keen immediately.
"Record a 'purchase' event with price 99.99 and user 'user_123' in Keen."
"What is the total count of 'page_view' events?"
"Show me all saved queries in my project."
Troubleshooting Keen MCP Server with Vercel AI SDK
Common issues when connecting Keen to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKeen + Vercel AI SDK FAQ
Common questions about integrating Keen 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 Keen 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 Keen to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.