"Construction cost estimate information" matching MCP servers:

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.

Connects ChatGPT/Claude with the QualityControl REST API, allowing users to query company information, sensor data, weather, harvest, exports, dispatches, and more using natural language.

Enables read-only access to vehicle data via the unofficial Rivian GraphQL API, allowing users to monitor battery levels, OTA updates, and charging status. It provides tools to check vehicle state and user account information directly through Claude.

An MCP server that connects to Z-Wave JS UI's WebSocket to expose controller, node, and configuration information as tools for AI assistants to manage Z-Wave networks.

Provides integrated control capabilities for LG ThinQ devices including status monitoring, device control, and profile information through a Model Context Protocol server.

Enables AI assistants to control SwitchBot devices, providing functionalities like device management, scene execution, and sensor information monitoring through the SwitchBot API.

Enables to retrieve device information, images, media, location, thumbnails, and events from the Safie API through MCP.

Enables AI assistants and agents to query and control a Loxone Miniserver installation via MCP, using existing room and control names without cloud services. Also provides selected LoxBerry information, secured by Loxone login.

Comprehensive development tools for Home Assistant, enabling file management, template testing, entity/state management, service calls, log access, and system information retrieval through MCP.

An MCP server that connects to the Tesla Fleet API, allowing users to control vehicles and retrieve real-time status updates through Claude and other AI assistants. It supports functions such as waking up vehicles, viewing detailed vehicle information, and debugging via both stdio and HTTP/SSE transports.

Connects embodied devices (like StackChan, Raspberry Pi, ESP32) to AI via MCP protocol, enabling motion control with zero API cost, no PC required, and fully self-hosted.

Enables pushing text from an AI conversation to a low-cost BLE e-ink shelf label via an MCP tool, with rich-text markup, card-style letter layouts, and real-time SSE delivery to a phone control page. Also lets clients check current screen content, update time, push history, and whether a phone is online.

Enables AI models to control and query smart home devices (air conditioners, lights, locks, cameras, refrigerators) through a backend API. Supports device control operations, status queries, and detailed device information retrieval with built-in documentation for proper device usage.

Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.