platformio.mcp
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- AlicenseNot gradedqualityBmaintenanceEnables MCP clients and AI agents to drive PlatformIO embedded workflows including board discovery, project setup, build, flash, monitor, diagnostics, and task orchestration, with policy-gated approvals and dashboard visibility.230 npm54MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to build, flash, and monitor ESP-IDF projects on real hardware, including serial sessions and pytest-embedded hardware tests.1MIT
- AlicenseAqualityBmaintenanceEnables AI coding agents to build, flash, debug, and communicate with STM32 microcontrollers over ST-Link entirely within the conversation. Provides headless CubeIDE builds, OpenOCD flashing, hardware breakpoints, live SWD variable monitoring resolved by C symbol names, fault triage, and pooled serial VCP I/O with deterministic sequencing for hardware-in-the-loop tests.35MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI-driven embedded development: generate, build, flash, and debug firmware using natural language commands through MCP.MIT
- FlicenseAqualityBmaintenanceEnables AI agents to compile, flash, erase, and read serial output from embedded development boards, with guardrails such as budget limits, serial port mutexes, and mandatory human confirmation for destructive operations.5-
- AlicenseAqualityAmaintenanceEnables AI agents to directly inspect and debug embedded hardware: reading/writing serial ports and bus devices, auto-detecting baud rates, parsing Modbus/NMEA/custom binary frames, plus diagnosing failures through a 45-rule fault-pattern library, error-code tables, and compile/flash error translation. Also provides pin-conflict checking, register and Cortex-M fault decoding, pre-validated driver and component selection libraries, board knowledge, and guarded flashing with post-flash byte-level verification.59MIT
TDQS
Scored across 40 tools
Tools are grouped around distinct resources (project, build, monitor, debug, packages, boards) and each description states its specific use case. A few adjacent tools could still be mixed up—pio_monitor_capture vs pio_monitor_read, pio_build vs pio_size_report, pio_coredump vs pio_decode_backtrace—but their documented modes make the correct choice recoverable.
All names share the pio_ prefix and snake_case, which helps, but the order is inconsistent: list_targets/list_devices use verb_noun, monitor_start/project_init use noun_verb, and clean/build/upload are bare verbs. Readable, but not a single predictable naming pattern.
40 tools is well above the 25-tool threshold and imposes significant selection cost even though each tool is individually useful. The set is organized by domain, but it is too large for a single agent working set.
The surface covers the full PlatformIO lifecycle: project init/config, build/clean, upload/OTA/verify, serial monitoring, debugging, test/static analysis, package/dependency management, board/port discovery, and specialized diagnostics. There are no obvious dead ends; a few conveniences like stopping all monitors at once are easily worked around with list/stop.