"Information about shadcn (UI component library)" matching MCP servers:

A minimal MCP server providing synthetic embedded components and NTC fault codes, designed for hands-on workshop exercises with GitHub Copilot Chat Agent mode.

Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.

MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.

Talk to your Flipper Zero from Claude Code — or any MCP client. Storage, app deployment, screen capture, button automation, JavaScript execution on the device, and honest answers about what is nearby.

Enables remote control and observation of the ESP32-2432S028 CYD desktop via USB serial, including status checks, app launching, touch/key input, file transfer, UI tree inspection, diagnostics, and execution control of MicroPython apps.

MCP server providing dependency upgrade advisories, developer API schemas, and electronic component specifications with evidence-backed, Ed25519-signed responses.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

Enables AI agents to query a verified, sourced knowledge base about NVIDIA Jetson devices via the Model Context Protocol, with every claim cited and knowledge gaps explicitly stated.

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.

MCP server that provides tools, resources, and prompts to help LLMs build Svelte UI components for Q-SYS systems, including discovering components and controls from a Q-SYS Core.

Enables interaction with Arduino development through arduino-cli, allowing sketch management, code compilation and uploading, library and board operations, serial monitoring, and AI-powered circuit diagram generation using WireViz.

IoT firmware CVE intelligence and PoC auto-download MCP server for AI agents, enabling vulnerability lookup, EPSS risk ranking, and PoC retrieval by firmware/component.

Connects AI assistants to physical devices via MCP, enabling LLMs to reason about sensor data, perform cross-device correlation, and interpret anomalies.

Provides MCP tools for terminal session control, serial/SSH/Shell connections, workspace configuration, J-Link debugging, RTT logging, and UI interaction, enabling AI hosts to collaboratively operate embedded development workflows.

Enables AI assistants to automate CODESYS V3 PLC development, including project editing, builds, library and alarm management, online variable read/write/force operations, and CODESYS documentation search via MCP.

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 planning Arduino/ESP32/Raspberry Pi robotics builds with correct pinouts, wiring diagrams, board references, and code skeletons based on verified component specs.

An MCP server that exposes five tools for generating verified electronic circuit documentation, including netlist verification, component lookup, and generation of schematics, boards, and renders.

Enables humans and AI agents to collaboratively control serial ports via MCP tools or Web UI, with real-time data sharing across all participants.

Enables AI agents to control an ESP32-C3 audio client via MQTT for playing, pausing, and managing music from an HTTP library, with support for playlists and volume control.