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Greencalculus MCP: MCP server, setup and security

Greencalculus MCP is an open-source MCP server published on GitHub that lets an AI agent calculate carbon emissions using sourced factors and versioned data. Its repository has 0 stars and its last commit is from September 16, 2026 and it is licensed under MIT.

Score
50/100
Adoption (stars) 0/40
Maintenance 25/30
Framework (licence, registry, official) 25/30
OfficialActively maintained

What Greencalculus MCP does

According to its repository: “Greenhouse-gas emission factors and carbon calculations (activity, embodied EN 15978, PCAF financed emissions) with source references and data versions.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Greencalculus MCP is listed under Data platforms, a category of 39 servers in the directory, where it ranks #39 by stars.

Topics declared by the repository: ai-agents, carbon-accounting, carbon-api, carbon-footprint, claude, climate.

Installing and connecting Greencalculus MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: TypeScript.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Greencalculus MCP. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on August 21, 2026, the greencalculus/greencalculus-mcp repository has 0 stars and 0 forks, with 0 open issues. It has more stars than 4% of the servers in the directory. Last change 1 month ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

MCP server chartMCP server chart : 4.4K4.4KGitLab MCP Server (zereight)GitLab MCP Server (zereight) : 2.1K2.1KMCP mermaidMCP mermaid : 646646Dbt MCPDbt MCP : 612612WalkerOS FlowWalkerOS Flow : 347347QuackbackQuackback : 329329Search Console MCPSearch Console MCP : 308308MCP echartsMCP echarts : 270270Greencalculus MCPGreencalculus MCP : 00
GitHub stars of the most followed servers in the category (log scale); Greencalculus MCP in orange. Checked October 25, 2026.

Verdict

Greencalculus MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Permissive licence (MIT)

Limitations

  • Few visible users
  • Install from source

Frequently asked questions

How do I install Greencalculus MCP?

No package is declared in the MCP registry: clone the greencalculus/greencalculus-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Greencalculus MCP free?

The code is published under the MIT licence and can be used free of charge.

Is Greencalculus MCP safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Greencalculus MCP?

In the same category: MCP server chart, Dbt MCP, GitLab MCP Server (zereight), and WalkerOS Flow. MCP server chart and Dbt MCP score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score