"A tool that can connect to MySQL database, understand table structure and query related data" matching MCP servers:

Automatically generates borehole structure diagrams from well data, supporting multiple well types and returning simplified image paths to reduce token usage.

Provides tools to search, inspect, and query energy open data from ODRE (electricity & gas production, consumption, grid load, renewables) using natural language or direct tool calls.

Enables live querying of oil & gas and geothermal well data from state regulator ArcGIS services, including searchable well records, operators, nearby wells, and raw queries, plus DOE GDR and Global Energy Monitor lookups.

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.

Provides tools to discover and summarize French open energy data from multiple public sources, including electricity mix helpers.

Enables querying Denmark's official open energy data from Energinet through MCP tools.

An MCP server that wraps the U.S. Energy Information Administration's Open Data API, enabling assistants to fetch live energy data via natural language. It provides tools for querying series, browsing data routes, filtering facets, and running custom queries.

Enables querying ENERGY STAR Open Data via Socrata MCP tools for searching datasets, running SoQL queries, and retrieving metadata.

Read-only MCP server for Energinet's public Energi Data Service. Enables dataset search, arbitrary dataset queries with filters, and CO2 emissions retrieval for DK1/DK2 without an API key.

Start with execute_plan. Live, dated data for data center, colocation, power grid, site selection, interconnection and energy questions. Rank data center and datacenter markets, check interconnection queues and grid headroom across PJM, ERCOT, CAISO, MISO, SPP, NYISO and ISO-NE, pull electricity and natural gas prices, and review fiber. Cited answers. Connect: https://dchub.cloud/mcp

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

Enables AI agents to search and retrieve German open data through a remote, stateless Streamable HTTP endpoint — public procurement notices, Marktstammdatenregister energy units, and Bundesnetzagentur EV charging stations — with keyword, location, technology, and capacity filters plus aggregate statistics and data-freshness checks.

MCP server that enables Google ADK agents to triage solar fault signals, retrieve Salesforce diagnostics via hosted MCP prompt templates, and create WorkOrder records when replacements are needed.

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.

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 assistants to control a Homey Pro smart home hub, create automation flows from natural language, and query device and energy history.

An MCP server that exposes the U.S. Energy Information Administration (EIA) Open Data API, enabling LLMs to browse and query energy data across 17 datasets with generic, composable tools.

AI assistants can size heat pumps, estimate energy costs, and verify cold-climate performance using bundled data and no API keys.

An MCP server that provides access to Northwood Capital Partners' portfolio carbon data, enabling MCP-compatible agents to query emissions, analyze decarbonization gaps, and simulate reduction initiatives through natural language.

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.

Enables Claude or any MCP client to read live and historical Sunsynk inverter, battery, and solar data, plus inverter settings, through the Sunsynk Connect cloud API. It is read-only and lets users ask natural-language questions about generation, consumption, charging, and configuration.

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.

Connect AI assistants to Victron Energy systems to read real-time solar, battery, grid, and inverter data from your local network via Modbus TCP or MQTT.

Enables read-only access to a customer's Enedis Linky electricity meter data, so an agent can answer questions about daily and period consumption, half-hourly load curves, and peak power. Every call is logged, and no writes or meter changes are possible.

Enables LLM agents to query live data from Anker Solix solar systems (Solarbank, expansion batteries, Smartmeter) via natural language, such as current solar production or battery state of charge.

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.

Lets an MCP client read live power from a local IoTaWatt energy monitor over its HTTP API, query history logs for energy and interval data, inspect device configuration and channel definitions, and sample current waveforms to identify load types. All tools are read-only and require no cloud account.

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.

Enables AI assistants to query Tesla vehicle data and analytics from a TeslaMate PostgreSQL database, including battery health, driving statistics, charging sessions, and custom SQL queries.

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.