Hevo Data (ETL & Data Pipeline) MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Hevo Data (ETL & Data Pipeline) through 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: {
"hevo-data-etl-data-pipeline": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Hevo Data (ETL & Data Pipeline) Agent",
instructions:
"You help users interact with Hevo Data (ETL & Data Pipeline) " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Hevo Data (ETL & Data Pipeline)?"
);
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 Hevo Data (ETL & Data Pipeline) MCP Server
Connect your Hevo Data account to any AI agent and take full control of your automated data integration and ETL orchestration through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Hevo Data (ETL & Data Pipeline) tool infrastructure. Connect 6 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
- Pipeline Orchestration — List all running ETL pipelines and extract explicit routing mappings linking ingestion frequencies to specific IDs directly from your agent
- Destination Monitoring — Analyze global warehouse targets (BigQuery, Snowflake, Redshift) terminating your replication runs and ensuring data delivery
- Transformation Models — Track explicitly attached mappings and transformations bounding your staging logic to maintain data quality
- Workflow Automation — Discover orchestration bounds and DAG workflows connecting transformations natively across your entire data stack
- Usage & Billing Audit — Access account usage metrics and billing ceilings to monitor row replications and overall account health in real-time
The Hevo Data (ETL & Data Pipeline) MCP Server exposes 6 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 Hevo Data (ETL & Data Pipeline) to Mastra AI via MCP
Follow these steps to integrate the Hevo Data (ETL & Data Pipeline) 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 6 tools from Hevo Data (ETL & Data Pipeline) via MCP
Why Use Mastra AI with the Hevo Data (ETL & Data Pipeline) MCP Server
Mastra AI provides unique advantages when paired with Hevo Data (ETL & Data Pipeline) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Hevo Data (ETL & Data Pipeline) 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 Hevo Data (ETL & Data Pipeline) 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
Hevo Data (ETL & Data Pipeline) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Hevo Data (ETL & Data Pipeline) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Hevo Data (ETL & Data Pipeline), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Hevo Data (ETL & Data Pipeline) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Hevo Data (ETL & Data Pipeline) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Hevo Data (ETL & Data Pipeline) tools alongside other MCP servers
Hevo Data (ETL & Data Pipeline) MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Hevo Data (ETL & Data Pipeline) to Mastra AI via MCP:
get_pipeline
Get pipeline details
get_usage
Get account usage
list_destinations
List all destinations
list_models
List all models
list_pipelines
List all pipelines
list_workflows
List all workflows
Example Prompts for Hevo Data (ETL & Data Pipeline) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Hevo Data (ETL & Data Pipeline) immediately.
"List all my active Hevo pipelines"
"Show me the destinations for my 'Sales Data' pipeline"
"How much of my row quota have I used this month?"
Troubleshooting Hevo Data (ETL & Data Pipeline) MCP Server with Mastra AI
Common issues when connecting Hevo Data (ETL & Data Pipeline) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHevo Data (ETL & Data Pipeline) + Mastra AI FAQ
Common questions about integrating Hevo Data (ETL & Data Pipeline) 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 Hevo Data (ETL & Data Pipeline) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Hevo Data (ETL & Data Pipeline) to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.