"Construction cost estimate information" matching MCP servers:

Lets LLM clients control a persistent AMD/Xilinx Vivado TCL session on Windows, avoiding repeated startup cost with native process handling.

A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.

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 agents to look up ESP32-S3 PIE instruction encodings, pipeline use/def stages, register and peripheral-address data, and to estimate instruction-sequence stalls, with every answer cited to a specific page of the official Espressif TRM or Datasheet. It explicitly reports what the primary sources do not cover rather than guessing.

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.