"A tool for inspecting and debugging Model Context Protocol (MCP) servers" matching MCP servers:

Exposes EnergyPlus simulation control (run, parse metrics, edit schedules) as LLM tools for autonomous building energy optimization.

A Model Context Protocol server that connects Claude to your own Kia vehicle through the Kia Owners API, enabling vehicle status, location, odometer, EV charge state, and confirm-gated commands for doors, climate, and charging.

Exposes a single read-only tool that retrieves live Huawei SUN2000 inverter telemetry over local Modbus TCP, including model, firmware, active power, daily and lifetime yield, device status, and observation timing. Readings are briefly cached, with failures returned as errors rather than stale or fabricated values.

A lean Model Context Protocol (MCP) server that gives AI assistants like Claude structured access to a SolarEdge PV installation via the official SolarEdge Monitoring API.

Enables AI agents and assistants to query Polish electricity market data from the SENS Energy Data API by discovering operators and tariffs, fetching composite prices, and inspecting tariff components through natural language.

An unofficial MCP (Model Context Protocol) server that exposes a Vaillant heat pump's data to AI assistants like Claude. Query outdoor and room temperatures, hot water status, energy consumption, COP estimates, schedules, and diagnostics through natural conversation.

Model Context Protocol (MCP) server for Gulf of Mexico deepwater intelligence: BSEE NTL 2019-G03 HPHT regulatory classification, API 17TR8 20,000 PSI qualification mandates, BOEM OCS protraction area intelligence, and subsea tie-back economic heuristics.

A Model Context Protocol server providing free financial market data across 13 categories with 83 no-key tools, enabling access to stocks, indices, options, forex, crypto, energy, prediction markets, and more.

Model Context Protocol (MCP) server for deepwater subsea pipeline engineering: API RP 1111 external collapse limit states, hydrostatic pressure gradients up to 3,500m, Towler-Mokhatab gas hydrate phase equilibria, and Hammerschmidt MEG thermodynamic inhibitor dosage calculations.

Model Context Protocol (MCP) server for offshore robotics, AUV bathymetric survey planning, API 17D / ISO 13628-8 ROV rotary valve intervention interfaces (Class 1 to 7), DNV-RP-B401 cathodic protection evaluation, and ASME PCC-1 subsea bolted flange preloads.

Enables MCP clients to query open data and a JSON API for the energy and CO2e cost of LLM tokens by model, GPU, and country.

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.

This MCP server provides a single read-only tool to query official CPFL (electric utility) bill download data via a hosted, prepaid service without requiring platform credentials.

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

Read-only MCP server for querying Enel Rio de Janeiro's official list of installations using a single tool, hosted with prepaid pay-per-use pricing.

Enables retrieval of weather data and forecasts through tool calls to support solar generation and next-month electricity bill predictions.

Enables AI agents to understand, query, and manipulate Honeybee building energy models through natural language via the Model Context Protocol.

An MCP (Model Context Protocol) server that exposes Polestar 2 vehicle data to AI assistants like Claude. Query your car's battery status, vehicle info, and health data through natural conversation.

A Model Context Protocol (MCP) server that provides comprehensive access to Tigo Energy solar system data and analytics. It enables AI assistants to interact with your Tigo solar monitoring system to retrieve production data, performance metrics, system health information, and maintenance insights.

Enables AI agents to interact with the OSDU® data platform through Model Context Protocol, providing tools for search, storage, schema management, and dataset operations.