Emissions API 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 Emissions API 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: {
"emissions-api": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Emissions API Agent",
instructions:
"You help users interact with Emissions API " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Emissions API?"
);
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 Emissions API MCP Server
Empower your AI agent to orchestrate your entire environmental research workflow with Emissions API, the open source platform for satellite-based emission data. By connecting Emissions API to your agent, you transform complex gas monitoring into a natural conversation. Your agent can instantly query carbon monoxide, methane, and ozone levels for any country without you ever touching a technical portal. Whether you are conducting climate research or monitoring industrial impact, your agent acts as a real-time environmental analyst, ensuring your data is always grounded in precise, satellite-derived measurements.
Mastra's agent abstraction provides a clean separation between LLM logic and Emissions API 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
- Gas Auditing — Query real-time and historical levels of Carbon Monoxide, Methane, and Ozone to maintain a clear view of atmospheric composition.
- Regional Oversight — Retrieve emission data for specific countries or geographic coordinates to understand local environmental trends.
- Temporal Intelligence — Query data across specific date ranges to monitor changes in gas concentrations over time.
- Spatial Discovery — Retrieve emission measurements in GeoJSON format to maintain strict control over geographic data distribution.
- Product Discovery — List all available gas products in the catalog to identify relevant markers for your research.
The Emissions API 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 Emissions API to Mastra AI via MCP
Follow these steps to integrate the Emissions API 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 Emissions API via MCP
Why Use Mastra AI with the Emissions API MCP Server
Mastra AI provides unique advantages when paired with Emissions API through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Emissions API 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 Emissions API 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
Emissions API + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Emissions API MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Emissions API, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Emissions API as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Emissions API on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Emissions API tools alongside other MCP servers
Emissions API MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Emissions API to Mastra AI via MCP:
get_available_products
List all available gas products in the database
get_carbon_monoxide
Get carbon monoxide emission data
get_geojson_emissions
Get emission data in GeoJSON format
get_methane
Get methane emission data
get_nitrogen_dioxide
Get nitrogen dioxide emission data
get_ozone
Get ozone emission data
Example Prompts for Emissions API in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Emissions API immediately.
"What is the latest carbon monoxide level in Germany (DE)?"
"List all available gas products in the Emissions API."
"Show methane emission trends for the last 30 days in the US."
Troubleshooting Emissions API MCP Server with Mastra AI
Common issues when connecting Emissions API to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEmissions API + Mastra AI FAQ
Common questions about integrating Emissions API 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 Emissions API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 Emissions API to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.