MCP: A Carbon Market AI Agent
Carbon Data for Artificial Intelligence
AlliedOffsets carbon market data is available to any AI agent or chatbot through MCP (Model Context Protocol), an open standard that lets LLMs pull live, structured data into a conversation instead of relying on what they were trained on. Connect it to Claude, ChatGPT, or your own agent, and it can answer carbon market questions directly, cross-reference them against your own data, and cite where the numbers came from.
If you’d rather not build anything, use our processed document database instead: every project document we hold from PDDs, monitoring reports, verification reports, has already been converted from PDF into structured, machine-readable text, so you can pull a specific data point out of a specific document without reading it yourself.
Pull structured data out of project documents
Project documents like PDDs and monitoring reports contain a lot of data points such as issuance volumes, buffer pool contributions, methodology versions, verification dates, but they’re locked inside long PDFs. We’ve already categorized and digitized the full set into structured, machine-readable text, so instead of reading a 200-page PDD to find one number, you can query it directly.
Bring carbon data into your own AI agent
Connect AlliedOffsets data via MCP to the LLM or agent stack you already use, and combine it with your own datasets, your CRM, your portfolio, your internal reporting. Ask which buyers already active in the carbon market are sitting in your CRM as leads, or have your agent screen a shortlist of projects against live pricing and registry status, all without leaving your existing workflow.
Query the dashboard
Ask a question in natural language and get back a dataset, a chart, or a table with no SQL required. “How many Latin American REDD+ credits were bought by Asian companies in 2024?” turns into a query built and run for you, with the results ready to export or visualize.
How does the carbon market AI agent work?
Connect
Point your LLM or agent at the AlliedOffsets MCP endpoint, or open the dashboard chat directly. No custom integration work required.
Ask
Ask your question about a price trend, a buyer's transaction history, a specific figure buried in a monitoring report.
Get structured, sourced data
The response comes back as data, not a guess: figures pulled from the underlying registries and documents, with the source attached.
Combine and act
Layer that data against what you already have such as your CRM, your portfolio, your own models inside the same conversation or agent workflow.