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AOI — Environmental Intelligence

AOI — Environmental Intelligence

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artroot-canvas-d1af5b00.base44.appData & Analytics0Updated 5w ago

About AOI — Environmental Intelligence

AOI is a commercial environmental-intelligence gateway for agents and research, finance, energy, and compliance workflows. It provides 38 capabilities backed by live satellite, geospatial, climate, and industrial data, with quotes before paid execution and provenance for results.

Key features

  1. 0138 environmental intelligence capabilities
  2. 02Live climate, satellite, and geospatial data
  3. 03Quotes before execution costs
  4. 04Provenance and execution metadata

Use cases

  1. 01Assess climate risk for infrastructure assets
  2. 02Monitor methane leaks and land changes
  3. 03Prepare ESG and regulatory assessments

MCP support

AOI exposes environmental intelligence capabilities to MCP clients through an HTTP endpoint. Clients can discover capabilities, request quotes, authorize spending, execute requests, and receive results with provenance.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://carbonaa.org/functions/aoiMcpServer
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

46
ParameterTypeRequiredDescription
domainstringNoOptional filter by scientific domain (climate_risk, carbon_assessment, water_stress, heat_risk, land_change, asset_climate_risk, etc.)

Details

From the project README

AOI — Agent-to-Agent Environmental Intelligence Gateway

AOI is a commercial intelligence layer that gives AI agents programmatic access to real-world climate, environmental, energy, and infrastructure intelligence through the Model Context Protocol (MCP). Instead of wrapping a model, AOI routes agents to live satellite, geospatial, climate, and industrial data sources — with a quote-first commercial lifecycle so agents always know the price before they spend.

Connect to AOI

Add this to your MCP client config (Claude, ChatGPT, Cursor, Windsurf, LangChain, CrewAI, AutoGen, etc.):

​'''json { "mcpServers": { "aoi-environmental-intelligence": { "type": "http", "url": "https://carbonaa.org/functions/aoiMcpServer" } } } ​'''

How agents interact with AOI

​''' Discover → Authenticate → Select Capability → Request Quote → Authorize Spend → Execute → Receive Intelligence → Verify Provenance → Settle ​'''

Agents never touch underlying providers, internal infrastructure, cost models, or proprietary systems. They interact through controlled capabilities and receive only information authorized for external consumption — every result carries source provenance and execution metadata. Quotes are free; execution requires prepaid balance.

38 intelligence capabilities, in a nutshell

🌐 Climate Risk — Climate Risk Assessment · Coastal Erosion Risk · Permafrost Thaw Risk · Seismic Risk Score

🏭 Asset & Infrastructure — Asset Climate Risk Scoring · Energy Infrastructure Climate Risk · Infrastructure Resilience Score · Insurance Underwriting Climate Risk

🌊 Flood · Heat · Wildfire · Drought — Flood Risk Score · Heat Risk Score · Wildfire Exposure Assessment · Drought Assessment

💧 Water & Soil — Water Scarcity Forecast · Water Stress Analysis · Soil Moisture Risk Assessment

🌱 Vegetation & Land — Crop Yield Forecast · Vegetation Health Index · Land Cover Classification · Land Change Detection · Deforestation Risk Score · Biodiversity Assessment

🛰️ Satellite Monitoring — Methane Leak Detection · Industrial Emission Detection · Glacier Retreat Monitoring · Satellite Change Detection

🌫️ Environmental Monitoring — Air Quality Assessment · Urban Heat Island Assessment

📄 Carbon · ESG · Regulatory — Carbon Assessment · ESG Intelligence Report · Regulatory Compliance Risk · Environmental Due Diligence · Supply Chain Climate Risk

🔮 Forecast & Scenario — Climate Forecast Interpretation · Climate Scenario Simulation

🔬 Evidence & Confidence — Confidence Assessment Report · Scientific Evidence Package · Custom Scientific Report

🧠 Digital Twin — Digital Twin Evaluation

Designed for

Autonomous agents, research agents, financial & investment agents, energy & commodity agents, climate-risk systems, procurement agents, and compliance workflows that need reliable real-world intelligence rather than purely model-generated information.

Note

This repository is a public documentation hub for the AOI MCP server. The intelligence engines and internal services run on Carbonaa infrastructure and are not open-sourced. AOI is not an MCP wrapper — it is a commercial intelligence layer where agents discover, purchase, and consume specialized real-world intelligence programmatically, with every capability validated for authentication, authorization, pricing, execution, provenance, payment, settlement, and security.

Links

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.