jagan-shanmugam/climatiq-mcp-server

Overview

A Model Context Protocol (MCP) server that connects AI assistants to the Climatiq API for real-time carbon emission calculations. It enables climate impact insights by allowing assistants to query emission data on demand.

Best for

Best for
Developers building AI assistants that need carbon emission calculations

Use cases

• Calculating carbon footprint for travel or logistics
• Integrating climate impact data into AI-driven decision tools
• Providing real-time carbon emissions estimates via conversational interfaces

How to use

Install

uv pip install climatiq-mcp-server

Tools exposed

• set-api-key
• electricity-emission
• travel-emission
• search-emission-factors
• custom-emission-calculation
• cloud-computing-emission
• freight-emission
• procurement-emission
• hotel-emission
• travel-spend

Tested with

Claude Desktop

Notes

A Model Context Protocol (MCP) server that connects AI assistants to the Climatiq API for real-time carbon emission calculations. It enables climate impact insights by allowing assistants to query emission data on demand.

8 stars on GitHub. Last updated 2025-03-28. Licensed MIT.

Use cases

• Calculating carbon footprint for travel or logistics
• Integrating climate impact data into AI-driven decision tools
• Providing real-time carbon emissions estimates via conversational interfaces

Pros

• Leverages the Climatiq API for accurate emission factors
• Enables AI assistants to perform carbon calculations without custom integrations
• Open source Python implementation with MCP standard

Cons

• Depends on Climatiq API availability and pricing
• Limited adoption (8 stars) may indicate early stage
• Requires API key and network access for each calculation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.