Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
PlatformIO for AI agents: build, flash, serial monitor, tests, crash decoding, size reports.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
PLATFORMIO_MCP_POLICY, PLATFORMIO_MCP_PROJECT_DIR, PLATFORMIO_MCP_PIOYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"platformio": {
"command": "uvx",
"args": [
"platformio.mcp"
],
"env": {
"PLATFORMIO_MCP_POLICY": "your-value",
"PLATFORMIO_MCP_PROJECT_DIR": "your-value",
"PLATFORMIO_MCP_PIO": "your-value"
}
}
}
}Run this in your terminal
claude mcp add platformio --env PLATFORMIO_MCP_POLICY=your-value --env PLATFORMIO_MCP_PROJECT_DIR=your-value --env PLATFORMIO_MCP_PIO=your-value -- uvx platformio.mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"platformio": {
"command": "uvx",
"args": [
"platformio.mcp"
],
"env": {
"PLATFORMIO_MCP_POLICY": "your-value",
"PLATFORMIO_MCP_PROJECT_DIR": "your-value",
"PLATFORMIO_MCP_PIO": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"platformio": {
"type": "stdio",
"command": "uvx",
"args": [
"platformio.mcp"
],
"env": {
"PLATFORMIO_MCP_POLICY": "your-value",
"PLATFORMIO_MCP_PROJECT_DIR": "your-value",
"PLATFORMIO_MCP_PIO": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
PLATFORMIO_MCP_POLICY envPLATFORMIO_MCP_PROJECT_DIR envPLATFORMIO_MCP_PIO envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account powerdragonfire, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Starreel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
platformio.mcp
Give your AI coding agent hands on real hardware.
An MCP server for PlatformIO : build, flash (serial or OTA), watch serial, run tests, decode crashes and core dumps, check partition tables, watch heap and power, debug over GDB, shrink firmware.
Python native · no Node · one line to install · works with Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline
You need uv (curl -LsSf https://astral.sh/uv/install.sh | sh). Then:
uvx platformio.mcp install --claude-code # or --cursor --claude-desktop --codex --windsurf
No PlatformIO on this machine? Add --with-platformio and the server brings PlatformIO Core along. Optional extras: platformio.mcp[coredump] adds the ESP32 core-dump analyzer, platformio.mcp[power] adds the Nordic PPK2 driver.
Any other MCP client (Cline, Zed, Continue, ...)
uvx platformio.mcp install --print
{ "mcpServers": { "platformio": { "command": "uvx", "args": ["platformio.mcp"] } } }
Use "args": ["platformio.mcp[platformio]"] to bundle PlatformIO Core.
As a plugin (Claude Code, Cursor: server + a skill that teaches the loop)
The repo follows the Open Plugins layout: .mcp.json, skills/platformio/SKILL.md, rules/platformio.mdc, plugin.json.
claude plugin marketplace add powerdragonfire/platformio.mcp # Claude Code
claude plugin install platformio@platformio.mcp
</details>
Already have PlatformIO?
The server finds platformio / pio on your PATH or in ~/.platformio/penv. Override with PLATFORMIO_MCP_PIO=/path/to/pio. Run uvx platformio.mcp doctor to see what the agent will see.
You: flash the
viewenv and make sure it boots.
Agent →
pio_flash_and_verify(env="view", expect="setup done")
`
FAIL: firmware flashed but the boot log matched the failure pattern:
'Guru Meditation Error: Core 1 panic'ed (LoadProhibited)'.
Cause: LoadProhibited. 3/3 addresses resolved:
DisplayTask::run() (display_task.cpp:22) <- DisplayTask::run() (display_task.cpp:23) <- vPortTaskWrapper (port.c:143)
`
Agent: null pointer on line 22 of
display_task.cpp,tft_is used beforebegin(). Fixing, rebuilding, flashing again.
`
PASS: flashed env view in 14.2s and saw 'setup done' on /dev/cu.usbserial-0001 after 2.1s of boot output.
`
No 40 KB build logs in the context window. No human reading the serial monitor. The agent gets a verdict, a file and a line.
flowchart LR
A[pio_project_envs] --> B[edit code] B --> C[pio_build] C -- errors with file:line --> B C -- ok --> D[pio_flash_and_verify] D -- PASS --> E([done]) D -- FAIL: decoded backtrace --> B D -- TIMEOUT --> F[pio_monitor_capture] F --> B
Group Tools What the agent gets back
🔍 Discover pio_system_info · pio_list_boards · pio_board_info · pio_list_devices PlatformIO version and policy; ~1,700 boards with MCU, clock, RAM and flash sizes; serial ports with the likely dev boards flagged
📁 Project pio_project_init · pio_project_envs · pio_project_metadata A real pio project init (never a hand-written ini); every env with board, framework, monitor and upload settings; defines and include paths
🔨 Build & flash pio_build · pio_upload · pio_upload_ota · pio_clean · pio_list_targets · pio_run_target Status, parsed errors and warnings (file, line, column), RAM/Flash %, last 40 lines, full log path. Extra targets like buildfs , erase . OTA over Wi-Fi to ArduinoOTA boards. Port failures come back classified (busy, permission, missing, no response) with the fix
📟 Serial pio_monitor_start / read / write / stop / list · pio_monitor_capture · pio_port_diagnose Background sessions with a ring buffer, cursor reads, and wait_for regex; or a one-shot capture with nothing to manage. Port diagnosis: who holds it (our session, another process), permissions, the fix
✅ Verify pio_test · pio_check Unity tests with per-case pass/fail and messages; cppcheck / clang-tidy defects by severity with CWE ids
📦 Packages pio_pkg_search / install / uninstall / list / outdated / update · pio_deps_check Registry search and dependency changes that keep platformio.ini in sync; an audit for name collisions, unpinned specs, leftovers, and circular dependencies
🧠 Analyse pio_flash_and_verify · pio_decode_backtrace · pio_size_report Hardware-in-the-loop pass/fail; crash dumps resolved to file:line; where every byte of flash and RAM goes
💾 Flash layout pio_partition_table · pio_coredump ESP32 partition CSV checks (alignment, overlap, fit, OTA slots) and a diff against the table actually on the chip; core dump pulled from flash and decoded
📈 Runtime pio_memory_watch · pio_power_profile Heap and stack telemetry parsed from serial with a leak verdict and per-task headroom; current draw from a serial meter or a Nordic PPK2 with sleep/active split and battery estimate
🐞 Debug pio_debug_start / cmd / stop / list A live GDB session over pio debug : breakpoints, step, backtrace, variables, with MI records parsed into structured results
Every tool returns ok, a one-paragraph summary written for the model, structured fields, and a log_path to the full output. Long output stays on disk under ~/.platformio-mcp/logs (newest 200 files kept).
| What it does | Under the hood | |
|---|---|---|
| 🚀 `pio_flash_and_verify` | Flash, open the port, read until expect matches (pass), a crash signature matches (fail, auto-decoded), or the timeout passes (timeout) | pio run -t upload + pyserial; fail_on defaults to Guru Meditation, HardFault, abort(), assert failed, watchdog, brownout, heap corruption |
🔁 **pio_test_plan_*** | Run a declarative hardware test plan for N iterations with cancellation, per-iteration verdicts (pass/fail/timeout/infra_error), and evidence logs | Reuses upload + serial monitor tools, continues observing for a post-success window, and writes machine-readable reports with source+firmware identity |
| 🩺 `pio_decode_backtrace` | Turn an ESP32 Backtrace: 0x400d... dump or a Cortex-M pc/lr dump into function, file, line, inlined frames, cause, reset reason | Toolchain located from pio project metadata, then -addr2line -pfiaC on firmware.elf; fixes Xtensa A0 window bits |
| 📊 `pio_size_report` | Why is the firmware this big? Flash/RAM %, loaded sections, biggest symbols with file:line, per-file totals, regex filter | pio run -t checkprogsize (partition-aware) + GNU size -A + nm -S -C -l --size-sort |
| 💾 `pio_partition_table` | Catch the silent ESP32 corruption where an app-only flash leaves an old partition table on the chip; alignment, overlap, OTA slot, and app-fit checks | Parses the env's partition CSV; read_device=true reads 0x8000 with esptool read_flash and diffs |
| 🧯 `pio_coredump` | Pull the core dump from the coredump partition after a crash and decode task, registers, and backtrace | esptool read_flash + optional esp-coredump info_corefile (platformio.mcp[coredump]) |
| 📈 `pio_memory_watch` | Leak, fragmentation, and stack-headroom verdicts from what the firmware already prints | Parses Free heap:, heap_caps_print_heap_info, vTaskList, uxTaskGetStackHighWaterMark lines; least-squares slope |
| 🔋 `pio_power_profile` | Average/min/max/p95 current, sleep vs active split, energy, battery-life estimate | A serial meter (INA219 sketch, USB meter log) or a Nordic PPK2 (platformio.mcp[power]) |
🐞 **pio_debug_*** | Breakpoints, step, backtrace, and variable inspection through the debug probe | pio debug --interface=gdb driven over GDB/MI with parsed *stopped events |
| 🌐 `pio_upload_ota` | Flash over Wi-Fi with failures mapped to the fix (wrong password, no ArduinoOTA.handle(), firewall, no OTA slot) | pio run -t upload --upload-port (espota auto-switch) or espota.py directly |
| 🔌 `pio_port_diagnose` | Why the upload cannot open the port: our session, another process, permissions, or a board not in bootloader mode | lsof/fuser + pio device list; never kills anything |
| 📚 `pio_deps_check` | Library name collisions where lib_deps order silently picks the winner, unpinned specs, leftovers, cycles | Manifests in .pio/libdeps and lib/, plus the LDF dependency graph with build=true |
Use declarative JSON plans when you need reproducible board validation over many iterations.
{
"plan_version": 1, "name": "SPI loopback", "project_dir": "/abs/project", "environment": "ch32h4_loopback", "device_identity": "bench-ch32h4-01", "board": { "platformio_env": "ch32h4_loopback", "board_id": "genericCH32H4" }, "peripherals": ["SPI loopback"], "pin_mapping": { "SPI_MOSI": "PB15", "SPI_MISO": "PB14" }, "fixture": { "required_wiring": ["PB15 to PB14"] }, "run": { "iterations": 100, "upload_each_iteration": true, "stop_open_sessions": true }, "serial_assertion": { "success_pattern": "SPI_LOOPBACK_OK", "failure_pattern": "panic|HardFault|assert failed|test-failure", "timeout_s": 20, "observation_window_s": 5, "reconnect_attempts": 1 } }
Workflow:
pio_test_plan_validate(plan_path=...)pio_test_plan_start(plan_path=...)pio_test_plan_status(run_id=...)pio_test_plan_cancel(run_id=...)Reports include source revision + dirty state, firmware hash, selected env, and detected device identity. Every non-pass iteration stores evidence logs with references in the JSON report.
An end-to-end CH32H4 fixture + firmware example is in examples/ch32h4-spi-loopback.
Set PLATFORMIO_MCP_POLICY in the server's env, or pass --policy t
Only the beginning is shown; read the rest in the repo