"ESP microcontroller programming and control tutorials" matching MCP servers:

Enables AI agents to build, flash, and monitor ESP-IDF projects on real hardware, including serial sessions and pytest-embedded hardware tests.

Portable governance control-promotion CLI and MCP server.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables coding agents to request, track, and verify independent cross-model reviews with structured findings, attachment hashes, and provenance receipts via Chrome Bridge, Codex, or Responses transports.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Maps Electron app IPC handlers to MCP tools and provides 33 built-in CDP tools for DOM automation, screenshots, interaction, and debugging, enabling Claude Code to directly control your Electron app.

Enables comprehensive control of iOS simulators and real devices through AI assistants, supporting app management, UI automation, screenshots, media operations, and location simulation for iOS development and testing workflows.

A local observation-only MCP server for macOS that provides secure, atomic evidence capture with strict target approval and manifest-based output.

Windows桌面截图与窗口自动化工具，支持后台操作、不抢焦点，可截取窗口/屏幕、模拟鼠标键盘、点击菜单等。

Provides a framework for running multiple MCP servers using FastAPI, stdio, and streamable-http transports, with an echo tool for testing and integration with MCP Inspector.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

An MCP server that enables AI assistants to control GDB debugging sessions, including breakpoint management, thread analysis, and variable inspection, using the GDB/MI protocol.

A MCP server that enables AI assistants to control Android devices via ADB, supporting device info, screen control, input simulation, app management, shell execution, file transfer, and UI parsing.

Detects and automatically removes AI-generated code slop patterns like redundant comments, verbose logging, and unnecessary error handling across multiple programming languages.

Enables AI assistants to interact with Android devices and emulators via ADB, providing tools for screenshots, UI inspection, touch and text input, app management, and device control.

Enables control system analysis and testing through PID controller evaluation against second-order plants. Provides regression testing utilities with step response analysis, gust rejection metrics, and settling time calculations for control engineering applications.

Enables AI assistants to automate Godot 4 projects via headless tooling, live editor control, and runtime remote control, including scene building, testing, and observation.

Enables code execution in 70+ programming languages and databases through the Onecompiler API, allowing users to run and test code directly from their MCP-enabled applications.

An MCP server that integrates AI agents with MagicPod, enabling natural language control of MagicPod testing through tools like Cursor and Claude.

Enables Claude Desktop to perform web automation tasks using the SHAFT Engine, including browser control, element interaction, AI-enhanced detection, and test reporting.