Emissions API MCP Connector for Claude
A+Manage your environmental research — audit air quality and gas emissions via AI.
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.
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.
How it works
- Subscribe to this server
- No API Key required (Emissions API is a public and free service)
- Start managing your environmental intelligence through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Environmental Scientists — monitor global gas concentrations and retrieve satellite metadata straight from your workflow.
- Policy Makers — verify regional emission levels and audit atmospheric trends without manual data exports.
- Sustainability Leads — perform rapid audits of local air quality and discover environmental insights through natural language.
- Operations Leads — automate atmospheric data querying to orchestrate cross-functional climate teams smoothly.
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