RudderStack MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect RudderStack through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"rudderstack": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "RudderStack Agent",
instructions:
"You help users interact with RudderStack " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with RudderStack?"
);
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 RudderStack MCP Server
Connect your conversational assistant directly into RudderStack, the leading enterprise Customer Data Platform (CDP) dedicated to developers. This integration robustly morphs your AI into a dynamic data engineer, enabling smooth real-time conversational audits encompassing configured sources, end tracking pipeline connections, tracking plans, and segmentation.
Mastra's agent abstraction provides a clean separation between LLM logic and RudderStack tool infrastructure. Connect 7 tools through the 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
- Explore Inlets and Outlets — Command the assistant directly natively to list every active data intake platform (
list_sources) securely or drill flawlessly deep into individual setup environments using detailed metrics (get_source). View every downstream endpoint gracefully (list_destinations). - Audit Data Interconnectivity — Are the web analytics pipelines correctly tied proactively to the respective data warehouses? The AI natively verifies data pipeline flows mapping seamlessly directly (
list_connections). - Governance & Audience Mapping — Instantly review strict operational event typing mappings natively securely configured (
list_tracking_plans), or query active personalized remarketing sub-clusters synced locally to customer databases cleanly natively (list_audiences).
The RudderStack MCP Server exposes 7 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 RudderStack to Mastra AI via MCP
Follow these steps to integrate the RudderStack 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 7 tools from RudderStack via MCP
Why Use Mastra AI with the RudderStack MCP Server
Mastra AI provides unique advantages when paired with RudderStack through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add RudderStack 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 RudderStack 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
RudderStack + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the RudderStack MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query RudderStack, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed RudderStack as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query RudderStack on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using RudderStack tools alongside other MCP servers
RudderStack MCP Tools for Mastra AI (7)
These 7 tools become available when you connect RudderStack to Mastra AI via MCP:
get_destination
Retrieves details for a specific data destination
get_source
Retrieves details for a specific data source
list_audiences
Lists all defined user audiences
list_connections
Lists all source-to-destination connections
list_destinations
Lists all data destinations configured in RudderStack
list_sources
Lists all data sources configured in RudderStack
list_tracking_plans
Lists all tracking plans defined in the data catalog
Example Prompts for RudderStack in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with RudderStack immediately.
"List all configured sources."
"Check if the connection between our website source and Snowflake destination is active."
"Show me the tracking plans currently applied to our iOS app source."
Troubleshooting RudderStack MCP Server with Mastra AI
Common issues when connecting RudderStack to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRudderStack + Mastra AI FAQ
Common questions about integrating RudderStack 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 RudderStack 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 RudderStack to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.