Carbon Tracking MCP
Related Servers
Alternatives to Carbon Tracking MCP
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceEstimates the environmental footprint of your AI use — energy (kWh), miles driven, water used for cooling, and CO₂ — plus a prompt-efficiency score, working with any AI client by measuring token usage.9-
- AlicenseNot gradedqualityBmaintenanceEstimates data-center water consumption from local Claude Code transcripts, providing water usage summaries, breakdowns by model/project, and a compact HTML widget.MIT
- FlicenseNot gradedqualityCmaintenanceWattScope helps teams see the carbon cost of the AI they are already using. Ask Claude to record a piece of work and it attributes the estimated footprint to your organization and to a project, then reports it back — per session, per project, or organization-wide. Every figure is an estimate, and carries the strength of the evidence behind it.-

Regen Computeofficial
AlicenseNot gradedqualityDmaintenanceEnables AI coding assistants to estimate session energy footprint and retire verified ecocredits on Regen Network, providing on-chain proof of regenerative contribution.4 npm4Apache 2.0- FlicenseNot gradedqualityBmaintenanceProvides Claude Code integration to capture LLM usage events and surface cost, carbon, and savings reports via tools and hooks.-
- AlicenseAqualityCmaintenanceReal-time Claude.ai subscription awareness for AI coding assistants. Surfaces live utilization, forecasts limits, gates expensive operations, and measures real per-task cost.517 npm6MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct scopes: one reports energy/CO2eq for the current Claude Code session, while the other aggregates all sessions in the current project. There is no meaningful overlap in purpose, making selection straightforward.
Both tools use snake_case, which is consistent. However, one is a noun phrase (current_session_energy) and the other uses a verb+noun pattern (collate_project_sessions_energy), a minor grammatical inconsistency in an otherwise predictable scheme.
The server is narrowly scoped, but two tools feels thin for a carbon-tracking surface. It is borderline: enough for a minimal monitor, but likely too few to support broader tracking workflows.
The tools cover current-session and current-project energy/CO2eq, but notable gaps remain. There is no way to query historical trends, other projects, or account-wide totals, which limits the surface for a carbon-tracking server.