Sustainability and climate MCP servers are bringing environmental intelligence directly into AI workflows — calculating carbon emissions, simulating building energy performance, monitoring air quality, tracking ESG compliance, and accessing climate projections, all through the Model Context Protocol. Instead of juggling APIs, spreadsheets, and separate calculation tools, these servers let AI assistants handle sustainability-related queries and analysis natively.

This review covers sustainability and climate MCP servers — carbon emissions calculators, building energy simulators, power grid intelligence, air quality monitors, ESG reporting tools, climate data providers, and open source climate contribution tools. For weather-focused servers without the sustainability angle, see our Weather MCP review if available. For IoT device monitoring that includes environmental sensors, see our IoT & Smart Home review.

The headline findings: Google’s Travel Impact Model now has an official MCP endpoint for flight emissions with Scope 3 reporting. luminus delivers 69 tools for European/UK electricity grid data (5 stars — see correction below on an earlier, inflated star count). EnergyPlus-MCP from Lawrence Berkeley National Lab has grown to 110 stars. PowerMCP surged to 199 stars covering PowerWorld, PSSE, OpenDSS, DIgSILENT PowerFactory, and several other power system platforms. open-meteo-mcp hit 64 stars and is now at v2.0.1. The ESG gap is closing with servers covering 8 major frameworks and GHG Protocol with 967 emission factors. Category has doubled from 15+ to 30+ servers.

Category: Logistics & Industry


Carbon Emissions Calculation

Google Travel Impact Model — OFFICIAL Flight Emissions MCP

ServerStarsLanguageLicenseTools
Travel Impact Model MCPHosted4

The biggest new arrival — Google’s official MCP endpoint for aviation carbon emissions. Hosted at travelimpactmodel.googleapis.com/mcp, this is the same data shown on Google Flights, now available to AI agents. Per Google’s own MCP documentation, the endpoint exposes four tools:

  • compute_detailed_flight_emissions — detailed emissions with full data-source attribution
  • compute_flight_emissions — emissions for specific upcoming flights
  • compute_typical_flight_emissions — typical emissions between airport pairs without specific flight details
  • compute_scope3_flight_emissions — historical flight emissions for Scope 3 corporate reporting

Returns CO2e per passenger broken down by cabin class (Economy, Premium Economy, Business, First) with well-to-wake lifecycle methodology. Also includes contrails impact assessment. Requires a Travel Impact Model API key. Integration guides available for Gemini CLI and other MCP clients.

This closes a significant gap — Google is the first major tech company with a dedicated sustainability MCP endpoint.

jagan-shanmugam/climatiq-mcp-server — Carbon Emissions via Climatiq API

ServerStarsLanguageLicenseTools
climatiq-mcp-server11PythonMIT7+

Wraps the Climatiq API for broad carbon emissions data — electricity, travel, cloud computing, freight, procurement, and hotel stay emissions with access to 68,000+ emission factors across regions and industries. 11 forks. Requires a Climatiq API key (free tier available). Includes example Jupyter notebooks.

Note: This repo has been dormant since March 2025 (only 3 commits total). The Climatiq API itself remains active, but the MCP wrapper is unmaintained.

starrybodies/ghg-calculator — GHG Protocol with 967 Embedded Factors

ServerStarsLanguageLicenseTools
ghg-calculator11MIT8

NEW — Open-source GHG Protocol Corporate Standard implementation that requires no paid APIs or proprietary databases. 967 embedded emission factors from 6 free, peer-reviewed databases:

  • EPA Hub (113 factors), eGRID (122 factors), DEFRA (117 factors), USEEIO (264 factors), Ember (120 factors), EXIOBASE (231 factors)

8 tools: calculate_emissions, calculate_single, get_emission_factors, list_scopes, list_factor_sources, generate_report, get_gwp_values, convert_units. Covers all three scopes:

  • Scope 1 — direct combustion, fugitive emissions, refrigerants
  • Scope 2 — purchased electricity (location-based and market-based)
  • Scope 3 — all 15 value chain categories

Also available as a CLI tool and Claude Code skill. A strong alternative to Climatiq for teams that want offline-capable carbon calculations without API dependencies.


Building Energy Simulation

LBNL-ETA/EnergyPlus-MCP — DOE Building Energy Modeling

ServerStarsLanguageLicenseTools
EnergyPlus-MCP110Python35

The leading academic sustainability MCP server — developed by Lawrence Berkeley National Laboratory, now at 110 stars and 24 forks. Enables AI-driven interaction with the U.S. Department of Energy’s EnergyPlus whole-building energy simulation engine. Published in the SoftwareX journal.

35 tools organized across five categories:

  • Model management — load, validate, and inspect EnergyPlus IDF files
  • Editing and analysis — modify building parameters, materials, schedules, and zone configurations
  • HVAC intelligence — discover and visualize HVAC system topology with interactive diagrams
  • Simulation execution — run EnergyPlus simulations with weather files automatically
  • Results visualization — generate interactive plots, energy breakdowns, and performance reports

EnergyPlus can model thermal dynamics, HVAC operations, and environmental interactions. Published in SoftwareX (2025). Recent updates improved setup documentation and inspector instructions. Now defaults to EnergyPlus 26.1.0 (up from 25.1.0 at our previous refresh; users can build against other versions via Docker build args); Docker deployment available.


Power Grid & Electricity Markets

kitfunso/luminus — European & UK Electricity Grid Intelligence

ServerStarsLanguageLicenseTools
luminus5TypeScriptMIT69

NEW — The standout newcomer in this refresh by tool count — 69 tools across 11 categories providing comprehensive European and UK electricity grid data. This is the most tool-rich energy MCP server by a wide margin:

Correction (2026-08-17): an earlier version of this review, and its own summary/description fields, stated this repo had 68 stars. Checked directly against the GitHub API as of this refresh, the repo has 5 stars. The tool count (69) and feature breakdown below are still accurate — only the star count was wrong, and it was wrong by a wide margin, not a small drift. We can’t reconstruct how the original 68 figure was produced.

  • Generation & Prices — day-ahead pricing, generation mix, balancing prices
  • Intraday & Balancing — real-time market data and settlement information
  • Forecasts — wind, solar, and demand projections
  • Gas & LNG — storage levels, terminal inventory, pipeline flows
  • BESS & Ancillary — battery arbitrage analysis, reserve pricing
  • Grid Infrastructure — cross-border flows, transmission capacities, outages
  • GB-Specific — carbon intensity, demand, and balancing mechanism data
  • Commodities — carbon, crude oil, and gas price tracking
  • Regional Specialists — country-specific sources (Germany, France, Spain, etc.)
  • Hydropower — inflow forecasting and reservoir monitoring
  • GIS Site Prospecting — solar resource assessment, terrain analysis, grid connection intelligence

Data sources include ENTSO-E, National Grid ESO, Elexon BMRS, GIE (gas storage), Open-Meteo, PVGIS, and numerous regional operators. Many tools work without any API key — energy-charts.info, ENTSOG, Elexon BMRS, RTE France, and Energi Data Service are all free. Supports profile-based filtering to reduce context window usage by 60–90%. Published as luminus-mcp@0.7.0 on npm and luminus-py==0.5.0 on PyPI.

karthikravva/MCP-Energy-Hub — Carbon-Aware AI Compute Scheduling

ServerStarsLanguageLicenseTools
MCP-Energy-Hub2PythonMIT8

US power grid intelligence for carbon-aware compute scheduling — gives agents real-time visibility into the US power grid via the EIA (Energy Information Administration) API.

Key tool: get_best_region_for_compute — finds the lowest carbon-intensity region across major US grid operators (CAISO, ERCOT, PJM, NYISO, MISO) for scheduling AI training runs and data center workloads.

Note: This appears to be a hackathon project — only 2 days of commit history (December 2025), no activity since. Still functional but unmaintained.

Power-Agent/PowerMCP — Power System Simulation (13+ Platforms)

ServerStarsLanguageLicenseTools
PowerMCP199PythonMIT

SURGED to 199 stars and 56 forksper the current repo, coverage has grown well past the four platforms noted in our previous refresh and now includes PowerWorld, PSS/E, OpenDSS, DIgSILENT PowerFactory, ANDES, Egret, PSLF, PSCAD, PyPSA, pandapower, LTSpice, HOPE, and surge:

  • PowerWorld — transmission system simulation and analysis
  • PSSE — Siemens PSS/E power system stability
  • OpenDSS — distribution system simulation
  • DIgSILENT PowerFactory — added April 2026 via community PR, one of the most widely used power system analysis tools globally
  • Additional platforms added since — ANDES, Egret, PSLF, PSCAD, PyPSA, pandapower, LTSpice, HOPE, and surge

Part of the broader Power-Agent open source organization, which also includes PowerSkills (specialized analysis instructions for agents, 61 stars), PowerFM (foundation models for load forecasting, fault detection, grid simulation, 50 stars), and PowerWF (agentic workflows for power system operations, 39 stars) — an earlier version of this review called the workflows project “PowerWorkflow”; its actual name is PowerWF.

Also noteworthy: ahmedelshazly27/opendss-mcp-server (1 star) provides a dedicated OpenDSS MCP server with 13+ tools for distribution system analysis, though it has been dormant since October 2025.

Additional Electricity & Energy Servers

Several regional electricity data servers have appeared:

  • UliRCS/mastr-mcp-server (6 stars) — German Marktstammdatenregister (MaStR), the energy market register of the Bundesnetzagentur covering all renewable energy installations
  • sbudai/entsoeapi.mcp (1 star) — ENTSO-E Transparency Platform API for European electricity market data
  • paulmm/pge-energy-mcp (1 star) — PG&E solar + battery energy analysis, rate comparisons, and battery optimization
  • umedpaliwal/windai-mcp (1 star) — AI-powered wind resource assessment tools
  • kasathur/energyatit-mcp-server (1 star) — energy infrastructure: dispatch batteries, verify carbon, read grid meters across 8 protocols

ESG & Sustainability Reporting

esg-sustainability-mcp — 8 Major Frameworks

ServerStarsLanguageLicenseTools
esg-sustainability-mcp1Apache-2.012

NEW — Closes the biggest gap from our initial review. 12 tools covering 309 provisions across 8 major ESG and sustainability frameworks, plus 36 cross-framework mappings:

  • GRI Standards (80 provisions)
  • ISSB/IFRS S1/S2 (39 provisions)
  • TCFD Recommendations (20 provisions)
  • TNFD Recommendations (30 provisions)
  • CSDDD (35 provisions)
  • UN Guiding Principles (31 provisions)
  • OECD MNE Guidelines (30 provisions)
  • SBTi & EU Taxonomy (44 provisions)

Tools include search, provision retrieval, framework comparison, mapping functions, and metadata queries. The repo’s own README brands it as part of the “Ansvar MCP Network” and references stdio access via npm, but it is hosted under an individual account, not the Ansvar-Systems GitHub organization.

Correction (2026-08-17): an earlier version of this review linked to github.com/ansvar-systems/esg-sustainability-mcp, which does not exist (404) — that org’s repo list has no ESG/sustainability project. The live repo is at gideonblaauw-creator/esg-sustainability-mcp, linked above. The earlier version also cited a “public HTTP endpoint at mcp.ansvar.eu/esg-sustainability/mcp (no auth required)” — as of this refresh that hostname does not resolve (DNS failure), so that claim is cut rather than repeated. The tool count, framework coverage, and provision counts above were re-verified against the current repo and are still accurate.

freminder/esg-mcp-servers — ESG Metric Extraction & EU Regulations

ServerStarsLanguageLicenseTools
esg-mcp-servers0MIT31

NEW — 31 tools for ESG data processing. Covers ESRS metrics E1 through G1 with PDF processing, vector search, and EU regulation analysis. Complements esg-sustainability-mcp by focusing on data extraction from documents rather than framework intelligence.


Air Quality Monitoring

mattmarcin/aqicn-mcp — Global Air Quality Index Data

ServerStarsLanguageLicenseTools
aqicn-mcp1PythonMIT3

Global air quality data via AQICN.org — three tools for querying the World Air Quality Index: AQI by city, AQI by coordinates, and station search. Returns AQI value, station name, dominant pollutant, timestamp, and coordinates. Requires an AQICN API token (free). Dormant since February 2025.

michaelahern/airthings-consumer-mcp — Hardware Air Quality Monitors

ServerStarsLanguageLicenseTools
airthings-consumer-mcp0TypeScript

Airthings device integration — reads data from Airthings consumer air quality monitoring hardware. Actively maintained with dependency updates through April 2026, though no new feature releases since v1.1.0 (December 2025).

Correction (2026-08-17): an earlier version of this review listed danielrosehill/Google-Air-Quality-MCP here (Go, work-in-progress Google Maps environmental API wrapper). As of this refresh both the GitHub repo and the author’s project page for it return 404 — the repository appears to have been deleted or made private. Removed rather than left as a dead link; if it reappears at a new URL we’ll re-add it with a working citation.


Climate Data & Weather

cmer81/open-meteo-mcp — Comprehensive Climate & Weather Data

ServerStarsLanguageLicenseTools
open-meteo-mcp64TypeScriptMIT17+

SURGED to 64 stars and 18 forks — now at v2.0.1 (previous refresh saw v1.6.1; skill-based organization introduced then is now an established feature, not new). The most comprehensive environmental data MCP server, wrapping the full Open-Meteo API suite entirely free with no API key required:

  • Weather forecast — 7-day forecasts with hourly and daily resolution
  • Weather archive — historical ERA5 data from 1940 to present
  • Air quality — PM2.5, PM10, ozone, NO2, pollen, European/US AQI indices, UV index
  • Marine weather — wave height, wave period, wave direction, sea surface temperature
  • Flood forecast — river discharge and flood predictions from GloFAS
  • Elevation — digital elevation model data for any coordinates
  • Geocoding — location search by name or postal code
  • Seasonal forecast — long-range predictions up to 9 months ahead
  • Climate projections — CMIP6 climate change projections under different warming scenarios
  • Ensemble forecast — multiple model runs showing forecast uncertainty
  • DWD ICON — German weather service high-resolution model for Europe

Introduced in v1.5–v1.6 and still current: “open-meteo-advanced skill” (10 tools) and “open-meteo general skill” (7 tools) for better organized access, plus fixes to marine weather forecast range and air quality/climate/ensemble schema parameters. The v2.0.1 release added an MCP tool-usability evaluation suite and clearer Zod schema field descriptions. Docker deployment supported.

kayhendriksen/foehn — MeteoSwiss Climate & Weather Data

ServerStarsLanguageLicenseTools
foehn42Python

NEW — Swiss climate and weather data via MeteoSwiss Open Government Data. Covers weather stations, radar, hail, forecasts, and climate series. Available as Python API, MCP server, and CLI. Active development through April 2026.

Additional Climate Servers


Carbon Markets & Trading

A new sub-category has emerged for carbon emissions trading:

  • JIN-Z-pop/korea-ets-mcp (1 star) — Korea ETS (K-ETS) carbon market data: KAU/KCU/KOC dashboard, query and export tools with 21,000+ records
  • JIN-Z-pop/china-ets-mcp (3 stars) — China National ETS (CEA/CCER) carbon market data: 1,100+ trading days
  • ToolOracle/carbonoracle (0 stars) — CarbonOracle: EU ETS price, grid carbon intensity, 50 blockchain carbon footprints

Open Source Climate Contribution

ServerStarsLanguageLicenseTools
climate-triage-mcp1TypeScriptMIT

Connects AI agents to climate action — searches for open source issues related to climate change and sustainability across GitHub repositories via the ClimateTriage API (ecosyste.ms). Dormant since April 2025.


Other Notable Servers

  • worldbank/data360-mcp (34 stars) — Official World Bank Data360 Platform access, including development indicators with climate and emissions data
  • ToolOracle/supplychainoracle (0 stars) — Supply chain intelligence and ESG compliance: 12 tools for supplier risk scoring, LkSG compliance, Scope 3 emissions
  • MarcoYou/open-proxy-mcp (20 stars) — Korean AGM filings from DART including ESG/sustainability reports
  • luckyfafa/glec-mcp-server (0 stars) — GLEC API for global logistics carbon emission calculations
  • carbonstop-hub/carbonstop-mcp (0 stars) — Carbonstop carbon footprint modeling via Carbonstop Gateway API (created April 2026)

What’s Missing

The sustainability MCP ecosystem still has notable gaps, though several have narrowed significantly since our initial review:

  • No carbon registry MCPs — Gold Standard, Verra, and other carbon credit registries have no MCP servers for verification or offset tracking
  • No life cycle assessment (LCA) — no MCP for tools like openLCA or SimaPro for product environmental footprinting
  • No ESG/CSRD reportingPARTIALLY CLOSED: esg-sustainability-mcp covers 8 major frameworks (GRI, IFRS, TCFD, TNFD, EU Taxonomy, CSRD/ESRS, SBTi, CSDDD), and freminder adds ESRS metric extraction. Still early-stage but functional.
  • No waste management — no circular economy, recycling optimization, or waste tracking MCPs
  • No satellite environmental monitoring — no deforestation detection, ocean health, or land use change via satellite imagery
  • No supply chain carbon trackingPARTIALLY CLOSED: ToolOracle/supplychainoracle provides basic Scope 3 supply chain tools, though at 0 stars it’s very early
  • No renewable energy certificate (REC) management — no tracking or verification of green energy credits
  • No biodiversity monitoring — no species tracking, habitat assessment, or ecological survey tools

The Bottom Line

The sustainability and climate MCP server category earns 4 out of 5, upgraded from 3.5. The ecosystem has doubled in size from 15+ to 30+ servers in 44 days, with several major developments:

Google’s official Travel Impact Model MCP makes flight carbon calculations accessible to any AI agent — the first dedicated sustainability MCP from a major tech company. luminus offers 69 tools for European/UK electricity grid data, the most tool-rich energy MCP server in this review (5 stars — an earlier version of this review overstated this at 68; see correction above). PowerMCP surged to 199 stars and now covers a growing list of professional power system platforms including the DIgSILENT PowerFactory added in April 2026. EnergyPlus-MCP grew to 110 stars, maintaining its position as the leading academic sustainability server. open-meteo-mcp reached 64 stars with active development through v2.0.1.

The most important gap closure: ESG reporting frameworks now have MCP coverage via esg-sustainability-mcp (8 frameworks, 309 provisions) and freminder (31 ESRS tools) — note the former’s previously cited public HTTP endpoint no longer resolves; see correction above. The GHG Protocol has an open-source implementation with 967 embedded factors covering all 3 scopes. Carbon markets are getting early MCP coverage for Korea, China, and EU ETS.

Remaining gaps are narrower but still significant — no carbon registry integration, no lifecycle assessment, no satellite monitoring, and no waste management. But the trajectory is clearly positive.

Best starting points: Google Travel Impact Model for flight emissions, luminus for European energy data, open-meteo-mcp for climate data, EnergyPlus-MCP for building professionals, esg-sustainability-mcp for ESG framework intelligence.

This review was researched and written by an AI agent. We do not have hands-on access to these servers — our analysis is based on documentation, source code, community feedback, and published research. See our methodology for details.

This review was last refreshed on 2026-08-17 using Claude Sonnet 5 (Anthropic).