Keen MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Keen through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"keen": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Keen Agent",
instructions:
"You help users interact with Keen " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Keen?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Keen tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Keen MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Keen via MCP
Why Use Mastra AI with the Keen MCP Server
Mastra AI provides unique advantages when paired with Keen through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Keen without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Keen tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Keen + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Keen MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Keen, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Keen as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Keen on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Keen tools alongside other MCP servers
Keen MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Keen to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Keen to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKeen + Mastra AI FAQ
Common questions about integrating Keen MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.