carbon-factor-matcher 1.0.7

MCP server for intelligent emission factor matching using LLM-powered semantic search

Carbon Factor Matcher — MCP Server for Carbon Accounting

An MCP (Model Context Protocol) server that connects LLMs with carbon footprint databases. It provides intelligent emission factor matching for carbon accounting, LCA (Life Cycle Assessment), and ESG reporting applications.

What is this MCP?

Carbon Factor Matcher helps AI agents and LLM-based applications find the most appropriate emission factors from standardized environmental databases. It uses a two-stage hybrid search algorithm:

1. Embedding-based rough filtering — Semantic similarity to find candidate factors
2. LLM-based fine ranking — AI-powered selection with reasoning and confidence scores

Supported Databases

• ELCD — European Reference Life Cycle Database (~600 factors, included in Free tier)
• ecoinvent 3.10 — Swiss Centre for Life Cycle Inventories (~21,000 factors, Pro license required)

Key Features

• 5-dimension data quality rating (technology, geography, source, time, factor type)
• Multi-language support (Chinese/English activity descriptions)
• MCP-compatible — works with Claude, Cursor, Windsurf, Cline, Continue, and any MCP client

Installation

Claude Code

claude mcp add carbon-factor-matcher -- npx -y @nikeandocean/carbon-factor-matcher

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "carbon-factor-matcher": {
      "command": "npx",
      "args": ["-y", "@nikeandocean/carbon-factor-matcher"]
    }
  }
}

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Cursor

Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "carbon-factor-matcher": {
      "command": "npx",
      "args": ["-y", "@nikeandocean/carbon-factor-matcher"]
    }
  }
}

Or via Cursor UI: Settings → MCP → Add new global MCP server.

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "carbon-factor-matcher": {
      "command": "npx",
      "args": ["-y", "@nikeandocean/carbon-factor-matcher"]
    }
  }
}

Or via Windsurf UI: Settings → Cascade → MCP Servers → Add.

Cline (VS Code Extension)

Add to Cline MCP settings (click MCP Servers icon in Cline panel):

{
  "mcpServers": {
    "carbon-factor-matcher": {
      "command": "npx",
      "args": ["-y", "@nikeandocean/carbon-factor-matcher"]
    }
  }
}

Continue (VS Code / JetBrains)

Add to ~/.continue/config.yaml:

mcpServers:
  - name: carbon-factor-matcher
    command: npx
    args:
      - "-y"
      - "@nikeandocean/carbon-factor-matcher"

Smithery.ai (One-Click Install)

npx -y smithery mcp add nikeandocean/carbon-factor-matcher

Or visit smithery.ai/server/@nikeandocean/carbon-factor-matcher for hosted endpoint.

Pro License

The Free tier works immediately after installation (300 queries/day, ELCD database, keyword search). To unlock the full experience:

Plan	Price	Features
Free	$0	ELCD database (~600 factors), keyword search, 300 queries/day
Pro	$5 (one-time)	ELCD + ecoinvent (~21,000 factors), LLM-powered matching, unlimited queries, data quality rating

Purchase License Key

👉 Buy Pro License

After purchase, you'll receive a license key via email. Set it as an environment variable in your MCP config:

{
  "mcpServers": {
    "carbon-factor-matcher": {
      "command": "npx",
      "args": ["-y", "@nikeandocean/carbon-factor-matcher"],
      "env": {
        "CARBON_FACTOR_LICENSE_KEY": "PRO-xxxx-xxxx",
        "LLM_API_KEY": "sk-xxxx",
        "LLM_BASE_URL": "https://api.deepseek.com",
        "LLM_MODEL": "deepseek-chat"
      }
    }
  }
}

Configuration

Variable	Description	Default
CARBON_FACTOR_LICENSE_KEY	Your license key (empty = Free tier)	—
LLM_API_KEY	LLM API key for Pro matching (DeepSeek/OpenAI)	—
LLM_BASE_URL	LLM endpoint URL	https://api.deepseek.com
LLM_MODEL	LLM model name	deepseek-chat
CARBON_FACTOR_DATA_DIR	Path to local factor database	data/factors

Available Tools

factor_match

Match activity data to the best emission factor. Free tier uses keyword search; Pro tier uses hybrid embedding + LLM matching with quality assessment.

Input:

{
  "activity_data": "Factory in Shenzhen, 10kV industrial electricity, 2024, semiconductor fab",
  "top_k": 10
}

Output:

{
  "selected_factor": {
    "id": "elec-cn-south-10kv-2024",
    "name": "Electricity, 10kV, South China Grid",
    "value": 0.6101,
    "unit": "kgCO2e/kWh"
  },
  "confidence": 0.92,
  "reason": "Best match for industrial electricity in South China region",
  "alternatives": [...]
}

factor_search

Search emission factors by keyword with optional filters.

Input:

{
  "query": "diesel",
  "category": "fuel",
  "limit": 10
}

factor_detail

Get full metadata for a specific factor.

Input:

{
  "factor_id": "elec-cn-south-10kv-2024"
}

Demo

👉 Try the Live Demo — Search 30+ emission factors directly in your browser (no installation needed).

System Requirements

• Node.js 18+ (for npx)
• Python 3.11+ (auto-installed via pip)
• LLM API key (Pro tier only — DeepSeek recommended)

Support

• Email: [e-mail]
• Issues: https://github.com/nikeandocean/carbon-factor-matcher/issues

License

This is proprietary software. See LICENSE for details.

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© 2024 Carbon Factor Matcher. All rights reserved.