"Examples of DeepSeek-related applications or projects" matching MCP servers:

A Model Context Protocol server for HarmonyOS development, enabling AI assistants to interact with HarmonyOS projects, devices, and applications.

An MCP server for source-grounded, page-cited evidence retrieval tailored for embedded and firmware development, returning verbatim snippets with exact citations or 'no match' to prevent fabrications.

Check 22,000+ devices with open firmware or open protocols (OpenWrt, LineageOS, coreboot, Zigbee2MQTT, Tasmota…) before reverse engineering one; claim a device while you work on it and publish your findings when done.

An MCP server for Nordic nRF Connect SDK development that enables users to list, read, and search documentation and sample code from the nrfconnect/sdk-nrf repository. It provides Claude with specialized tools to navigate SDK resources, source files, and configuration examples directly through the GitHub API.

An MCP server that provides AI coding assistants with access to official ARM CMSIS SVD hardware register definitions for microcontrollers. It enables precise querying of register names, bit positions, and addresses to prevent hallucinations during embedded systems development.

MCP server that wraps STM32CubeMX CLI to let AI load .ioc projects, modify pin/peripheral configurations, generate HAL code, and export pinout tables.

Lets AI assistants search and read vendor documentation from the TIA Portal and Industrial Operations X portals in real time, exposing search, table-of-contents, publication-listing, and Markdown page-reading tools.

Enables control of MHS-5200A series signal generators via serial connection, including frequency, amplitude, waveform, and sweep settings.

Enables configuration, diagnostics, and troubleshooting of iNAV fixed-wing flight controllers over USB via Claude.

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.

An MCP server that enables AI assistants to control Siglent SDS oscilloscopes over a local network using SCPI commands. It allows users to measure signals, configure channel and acquisition settings, and capture waveforms or screenshots through natural language.

Enables Claude to create, update, and manage LED patterns on a PixelBlaze controller, including setting brightness and reading device info, through a set of tools that interact with the device's API.

MCP server that serves Qualcomm Yocto board specs from a git repo, enabling retrieval and validation of board specifications.

Enables secure, read-only inspection and validation of KiCad PCB boards through MCP, with deterministic routing and optional AI policy plugins.

Enables AI agents to search a catalog of MCP servers for physical hardware such as ESP32, Arduino, Raspberry Pi, 3D printers, Home Assistant devices, cameras, Zigbee and lab gear, returning install commands and ready-to-paste client configs. It also supports browsing device families and getting ranked recommendations for a specific device or model.

AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.

Enables management and control of OpenWrt devices via a simple API, including reboot, status checks, log reading, and LED control.

Enables Claude Code sessions to control a Rigol DS1054Z oscilloscope over USB, reading identity, settings, measurements, screenshots and waveforms, and applying undoable or destructive changes such as channel, timebase, trigger and acquisition configuration, run control, autoscale and reset. Tool calls come with read-only and destructive hints so safe operations can be auto-approved while risky ones stay behind user approval.

A local MCP server that connects Claude Code or any MCP-compatible AI assistant to a Robonine robot arm.

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.