Emissions API MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Emissions API 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 Emissions API, 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 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.
The Vercel AI SDK gives every Emissions API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- 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 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 Emissions API to Vercel AI SDK via MCP
Follow these steps to integrate the Emissions API 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 6 tools from Emissions API and passes them to the LLM
Why Use Vercel AI SDK with the Emissions API MCP Server
Vercel AI SDK provides unique advantages when paired with Emissions API 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 Emissions API integration everywhere
Built-in streaming UI primitives let you display Emissions API 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
Emissions API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Emissions API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Emissions API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Emissions API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Emissions API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Emissions API through natural language queries
Emissions API MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Emissions API to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Emissions API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEmissions API + Vercel AI SDK FAQ
Common questions about integrating Emissions API 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 Emissions API 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.
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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 Emissions API to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.