"Sublime Text" matching MCP servers:

Provides LLMs with direct access to official vendor PDF documentation for electronics components (TI, ST, ADI) via a local SQLite full-text index and PDF retrieval tools.

Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.

A Model Context Protocol (MCP) server that exposes lnav log file analysis capabilities to AI assistants, specifically optimized for Kvaser Plain Text Log Frame CAN bus log processing.

Enables AI agents to perceive and quantitatively verify physical hardware through USB webcams and RTSP/HTTP network streams, returning inline image content plus numerical metrics such as brightness, contrast, edge density, motion, SSIM baseline comparisons, and OCR text. Agents can watch feeds for visual conditions, correlate buffered frames with serial/log/MQTT events, and apply privacy masks and access controls.

Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.

Enables agents to work with local hardware engineering context — registered repositories, imported PDFs and documents, and user-created system diagrams — through stdio tools for bounded source search and file reading, document text extraction and PDF page/crop rendering, and reading or drafting system architecture models. It runs entirely on local storage with no code index, hosted backend, or model provider routing, leaving the agent's own model, keys, and permissions intact.

Enables AI assistants to control an STM32 microcontroller over serial by reading/writing GPIO, setting LED brightness, reading ADC channels, and displaying text on an OLED screen via natural language.

Linkr KVM MCP Server exposes Radxa Linkr KVM controls through the Model Context Protocol (MCP). It lets an MCP client capture screenshots, crop screen areas, send keyboard and mouse events, type text, wait for on-screen text, and ask vision/OCR models about the current screen.

Enables agents to turn a plain-language description of a device into a complete, validated build package — parts list, 3D-printable parts, wiring, firmware code, picture assembly guide, and tests — that anyone can assemble without electronics experience.

Integrates with MCP-compatible AI assistants to provide accurate conversion among decimal text, hexadecimal strings, and encoded forms for fixed-width and double-width real-number representations. Lets users obtain literal byte patterns needed for modifying compiled programs and confirms how unknowns map to specific scientific numerical values while examining sign, magnitude-range, and fractional components.

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 reading UART logs from Windows serial ports and sending text to the UART through MCP, with an optional Tkinter UI for local monitoring.