Emissions API MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Emissions API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Emissions API Assistant",
instructions=(
"You help users interact with Emissions API. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Emissions API"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 6 tools from Emissions API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Emissions API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Emissions API MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Emissions API
Why Use OpenAI Agents SDK with the Emissions API MCP Server
OpenAI Agents SDK provides unique advantages when paired with Emissions API through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Emissions API + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Emissions API MCP Server delivers measurable value.
Automated workflows: build agents that query Emissions API, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Emissions API, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Emissions API tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Emissions API to resolve tickets, look up records, and update statuses without human intervention
Emissions API MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Emissions API to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Emissions API to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Emissions API + OpenAI Agents SDK FAQ
Common questions about integrating Emissions API MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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.
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 Emissions API to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.