"Scheduler that invokes the agent based on a predefined schedule" matching MCP servers:

Enables natural-language battery-cell requirements to be parsed and routed to simulation backends, returning design forms and performance metrics while supporting calibration, thermal-runaway, COMSOL, and UI draft workflows.

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

Enables users to pull live heating-oil tank readings from their Smart Oil Gauge account without Home Assistant, reporting gallons remaining, percent full, usage rates, and days-until-low estimates plus usage history across daily, weekly, monthly, and yearly windows. It logs in with existing app credentials and fetches fresh data on each tool call, storing nothing on disk.

An AI-powered EV Digital Twin platform for battery health monitoring, predictive maintenance, fleet analytics, and intelligent decision support using MCP tools for SOH prediction and RUL estimation.

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.

Carbon-aware MCP scheduler that defers "do it later" / "by tomorrow" / "overnight" LLM tasks to the cleanest electricity-grid hour inside a deadline — 40-70% lower CO2 per task, 50% cheaper via Anthropic/OpenAI Batch APIs. 9 MCP tools, per-task carbon receipts to local SQLite, Apache-2.0.

DeepPVMapper is an open source, crowdsourced verified AI map of rooftop solar systems. The MCP serves as a endpoint to allow queries to the database (1.1M+ systems) in natural language. This work is based on my former PhD work.

The PGIQ Rating as agent tools: where to site or schedule a large electricity load across 67 global power markets. Wraps a read-only REST API returning reasoned, cited ratings across access, availability, cost, momentum, and carbon, plus live grid snapshots and cheapest-window scheduling.

Enables users to search generator guidance, check connector and receptacle compatibility, and calculate cord sizing based on distance and voltage drop.

AI-powered BESS quoting & energy sales intelligence for Claude and any MCP client

Enables AI agents to perform deterministic, physics-grounded grid connection screening using OpenDSS AC power flow, N-1 and SCR checks, droop compliance, and cryptographic audit receipts. It exposes typed tools and resources for screening, capacity sweeps, and auditable engineering workflows.

Enables generating yearly active and reactive power load time series for pandapower grids from German BDEW standard load profiles, with assignment of load categories, stochastic noise, scenarios, run manifests, plotting and time-series power flow. Also exposes run inspection, regeneration and verification so tool-calling LLM clients can produce and cite reproducible, checksummed results.

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.

Enables users to query current and historical UK electricity carbon intensity, generation mix, and regional intensity data to schedule energy-intensive tasks during low-carbon periods.

Enables AI agents to operate a US power-grid data pipeline – ingest, plan, run, and monitor datasets like CAISO, ERCOT, and EIA-930 through MCP tools that mirror the CLI.

A local MCP server that enables building energy analysis through tools for anomaly detection, flexible-load schedule optimization, and battery/solar outage-autonomy simulation using reproducible synthetic data.

Provides LLMs with access to news and information about renewable energy projects and planning in Germany via the Nefino API, enabling location-based queries with topic and date filtering.

Enables rooftop solar installers to turn a CSV of tomorrow's booked jobs into a ranked crew schedule in Markdown and JSON, joining per-address geocoding, roof pitch/azimuth from the Google Solar API, hourly forecast checks against crew-safety thresholds, and estimated plane-of-array irradiance. Each job is returned as KEEP, MOVE (with a new same-day start) or SLIP, together with the specific rule that decided it.

A TypeScript-based Model Context Protocol (MCP) server with web interface for calculating CO2 emissions using the Climatiq API.

MCP server that estimates photovoltaic production using the European Commission's PVGIS API, deployed on Cloudflare Workers for serverless, free-tier operation.

Open-source MCP servers exposing US solar data (production, resource, economics, market, forecast) as agent-accessible tools with a consistent data envelope.

Tether MOS site telemetry, mining intelligence, and energy arbitrage agent.

Enables LLM agents to inspect multi-modal IoT telemetry and query safety policies, then dispatch actuator commands through typed MCP tools that enforce deterministic safety interlocks and record a tamper-evident SHA-256 chained audit trail. This lets automated agents control building hardware without violating safety invariants, while rejecting cross-sensor false alarms and cutting redundant telemetry and token usage.

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.

MCP server for consulting and downloading Light utility bills using CEP and OCR from official sources. Offers a single read-only tool with pre-paid pricing, hosted on api.mcp.ai.

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 data-quality validation and anomaly scoring tools so an AI agent can decide whether to dispatch a field technician, while refusing to act on untrusted data.

Generates peer comparison reports on emissions trends, reduction targets, and gaps for companies in a given SICS sector/sub-sector using live data from the Climate Data Utility (CDU).

MCP server that enables AI-powered EV charging station management, including live session tracking, automatic battery state detection, remote cable unlock, and RAG-based technical support from OCPP documentation.

Enables controlling Xiaomi Mijia smart-home devices (plugs, lights, air-conditioner companions) directly from DeepSeek Harness through a stdio MCP connection to the Mijia cloud, exposing 14 tools for device listing, on/off, brightness, color temperature, mode, and power/energy readback. An execution-layer guard restricts reads and writes to three whitelisted devices and forces explicit on/off commands instead of toggles.