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Feb 11, 2026

Unlocking the power of AI and MRV Data with Mangrove MCP

We're launching Mangrove MCP, enabling AI tools like Claude to query carbon removal and low-carbon fuel project data using natural language. The Model Context Protocol integration eliminates manual data exports, allowing teams to perform technical audits and trend analyses conversationally. Available to all Mangrove customers, it transforms MRV data into an accessible, AI-powered asset while maintaining human oversight for accuracy.
Mangrove Product Team

In the world of carbon removal and low-carbon fuels, data acquisition and aggregation is a constant challenge. Between disparate operational systems, siloed upstream data ownership, and unstructured data from partners, project developers often spend more time wrangling data than deploying solutions.

At Mangrove Systems, we built our platform to solve this. We transform the chaos of the value chain into high-integrity, structured data. Whether it’s for registry reporting, operational analysis, or performance improvements, Mangrove is the data foundation that drives revenue.

As a system of record, our mission is to deliver reporting capabilities that keep pace with the speed of markets. With the launch of Mangrove MCP, we are giving compliance and revenue teams a powerful new way to interact with their data.

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI tools (like Claude or custom LLMs) to securely talk to your data.

While Mangrove provides built-in dashboards, every team has unique requirements. The Mangrove MCP server acts as a secure bridge, allowing you to use your favorite AI tool to query your data directly - turning your project data into a searchable, conversational asset.

How you can use the Mangrove MCP Server

By connecting your Mangrove account to an MCP-enabled tool, you can use natural language to fetch and analyze data that previously required manual exports and complex spreadsheet manipulation.

Here are some examples of how Mangrove customers are using the MCP server.

Performing a technical audit on specific data using the Mangrove MCP server.
Performing a trend analysis on an event type with a moving average applied to the data.

AI that delivers value

Mangrove MCP delivers value to project developers, allowing them to:

  • Move Faster: Eliminate the "export-to-Excel" bottleneck and get answers in seconds
  • Consolidate Tools: Access MRV data directly within your existing AI-assisted workflows
  • Unlock Deeper Intelligence: Leverage the reasoning power of AI to find patterns in your project data that might be invisible in a standard dashboard

Activating Mangrove MCP

Setup is straightforward for all Mangrove customers:

  1. Generate your API Key: As an Account Admin, generate a read-only API key in API Settings
  2. Configure your Client: View the Mangrove Documentation to learn how to access the MCP server URL.
  3. Start Querying: Your AI assistant now has the context it needs to provide real-time insights based on your verified Mangrove data

Need help setting this up? Reach out to your Mangrove Implementation Engineer to schedule an onboarding session.

A note on accuracy

While Mangrove MCP unlocks unprecedented access to your data, it is important to remember that insights are generated by LLMs interpreting structured records. As with any AI-driven tool, these models can occasionally misinterpret nuances; outputs should be viewed as a powerful collaborative tool rather than a 100% infallible replacement for human oversight.

Mangrove is actively investing in robust guardrails to ensure the highest levels of integrity. Our goal is to provide a tool that becomes more precise with every query, supporting project developers on the frontier of low-carbon deployment.

Turn project operational data into revenue with Mangrove.

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