"A server for finding Python project ideas or resources" matching MCP servers:

Enables LLMs to verify the novelty and validity of invented battery materials, with support for searching and validating against a materials database.

An MCP server for US electricity demand and weather data that provides tools, resources, and prompts to query hourly demand, daily demand, peak demand, and demand vs temperature across regions, all running locally with a bundled SQLite database.

Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.

Enables MCP clients to pull US ZIP-code-level electricity data — Scope 2 location- and market-based emission factors, Scope 1 fuel factors, hourly grid carbon intensity, plant-level emissions, retail rates, and utility tariffs — for carbon accounting, multi-site comparison, and finding the cleanest hours to run flexible loads. It requires no API key or signup and works as either a hosted remote endpoint or a local stdio process.

MCP server for converting OEM energy telemetry payloads into ODS-E records and validating them via the odse Python package.

TRON Energy & Bandwidth marketplace for AI agents — 27 MCP tools for buying/selling resources, DEX swaps, and automated energy management via Streamable HTTP.

Enables users to ask directly within a Claude Code or Codex chat how much energy and CO2eq their current session or entire project has consumed, estimated locally from session logs with no telemetry or network calls. It also reports everyday-activity equivalents such as kettle boils or washing machine cycles for the resulting figures.

Enables classifying electricity meter days as active, standby, off, or unsure from 96 fifteen-minute kWh readings plus a meter reference, with batch support for up to 31 days and model metadata. Runs fully offline as a frozen scikit-learn classifier, exposing single-day and batch classification plus model-info tools over STDIO or HTTP.

PyPSA MCP is a Model Context Protocol (MCP) server for creating, analyzing, and optimizing energy system models using PyPSA (Python for Power System Analysis).

Provides real-time grid carbon intensity, power generation breakdown, and carbon-intensity forecasts for any zone or lat/lon location.

Enables access to real-time electricity data for a 15-state US region plus Manitoba: fuel mix, five-minute wholesale prices, binding transmission constraints, load and forecasts, and wind/solar output. Can run as a remote MCP endpoint or a local stdio server with no authentication.

Enables local control of an installed PVsystCLI 8 on Windows, letting a client check license quota, list workspace projects and variants, build SFI definitions, run existing project/variant simulations, convert staged weather data into MET files, and summarize numeric result columns. It exposes only seven typed tools with filename-based access to fixed workspace folders, and never overwrites existing output files.

Exposes Frank Energie energy data (electricity and gas prices, account info) as MCP tools for LLMs, using python-frank-energie for API communication.

WattScope 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.

Enables calculation of the most economical fuel (gasoline, ethanol, or natural gas) based on prices and vehicle consumption, following the 70% rule for ethanol and 60% for GNV.

Provides tools for querying Danish day-ahead electricity prices, finding cheapest charging windows, estimating costs, and creating pending charging plans, with strict validation and human-in-the-loop approval for write operations.

Enables exact residential electricity rates and itemized bills for Salt River Project, computed from filed tariffs with citations, via tools for listing plans, getting rates, and calculating bills.

Enables multi-agent orchestration of distributed energy resources through MCP tools, including simulation, real-time telemetry, dispatch control, and deterministic safety gatekeeping for grid support and demand response.

Hourly electricity grid carbon intensity (gCO2eq/kWh) for 45 zones across Europe, the US and Great Britain, computed from ENTSO-E, EIA and NESO generation data. Four read-only tools; every value carries its interval timestamp and how stale it is. No API key, no account.

An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.