Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Develop firmware on the real board behind a debug probe: flash, reset, UART and CAN, policy-gated.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"agentic-hil": {
"command": "uvx",
"args": [
"agentic-hil",
"mcp-stdio"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add agentic-hil -- uvx agentic-hil mcp-stdioPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"agentic-hil": {
"command": "uvx",
"args": [
"agentic-hil",
"mcp-stdio"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"agentic-hil": {
"type": "stdio",
"command": "uvx",
"args": [
"agentic-hil",
"mcp-stdio"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub agentic-hil, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.26.0) llegó al registro hace 3 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, debuff
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Connect your AI to reality.
Let your agent develop, test, and improve firmware autonomously. In the real world. Agentic HIL makes this possible as a hard gate: it enforces strict safety boundaries and verifies the results on real hardware.
https://github.com/user-attachments/assets/8d39ba93-beeb-484e-b9e9-d9ce79538523
Watch the agent set up a fresh firmware project, write the firmware, and make the board say Hello World after installation and one restart. The recording shows real hardware feedback through the gate. The agent saves a test plan and runs it with both a correct and a deliberately wrong expectation. You get the plan, a report, and evidence that the test can pass and fail. The run ends with the lease released, the safe state confirmed, and nothing quarantined.
Install Agentic HIL for your user with one command. No admin rights required.
Linux / macOS (any shell):
curl -LsSf https://agentic-hil.github.io/install.sh | sh
Windows, in PowerShell:
irm https://agentic-hil.github.io/install.ps1 | iex
The installer registers the skill and MCP server for every supported agent CLI it finds on your PATH. It keeps the installation outside your repositories. Restart your agent once, then ask your first hardware question. Your agent sets up the project's bench through MCP.
If no claude, codex, or opencode CLI is found, the installer prints the next step. Install your agent CLI, then run agentic-hil agent-install --agent to register it.
The installer asks the package manager where its user bin directory is and adds that directory to your shell startup files or Windows user Path when needed. Open a new shell to use the command. Pass --no-path (-NoPath in PowerShell) to manage that change yourself; the installer prints the line to add.
A fresh installation gets agentic-hil[can] from PyPI. Use --version to pin a release. Rerunning the installer repairs an existing installation: editable checkouts reporting a .devN version are kept, and uv tools installed from a path, URL, or git reference are refreshed from that recorded source. To inspect and verify the installer before running it, follow the checksummed route in installation: download the script and its checksum from the same release, check the file, then run that file.
For a guided first run, try the STM32 starter. It has the firmware, test plans, and a planted defect ready for a three-step walkthrough on a Nucleo-F446RE.
Claude Code can also install the skill from the plugin marketplace: /plugin marketplace add agentic-hil/agentic-hil, then /plugin install agentic-hil@agentic-hil. The install command above still provides and registers the MCP server, with a verified absolute executable path outside your repository.
See installation for cmd.exe, registering one agent, using your own package manager, setting up an attached bench, optional components, and upgrades. The same installer command can repair an installation when agentic-hil upgrade fails. Troubleshooting covers startup problems.
In a clone of this repository, try a first check without a board:
agentic-hil check-plan examples/nucleo-f446re_demo/testconfig.yaml
It answers All 1 test plan(s) load through the reactor's loader. and exits 0, without loading a bench configuration or touching hardware.
You set the goal. Your agent writes and builds the firmware. Agentic HIL puts it on the board, exercises the device, and checks its responses against the test criteria. When a test fails, the agent gets concrete results it can use to diagnose the problem, change the code, and try again.
Agentic HIL supplies the hardware execution and feedback that make this development loop possible. Much of the flashing, testing, and checking you would do at the bench becomes part of the agent's workflow. You review the code alongside a record of what ran, what passed, and what failed, and focus your attention on requirements, design decisions, and test coverage.
Agentic Hardware-in-the-Loop (Agentic HIL) connects coding agents to the bench through MCP tools and CI suites through a pytest plugin. Setup is available for Claude Code, Codex, and OpenCode.
Each hardware action returns a structured result with its outcome, diagnostics, and report and log paths. Your agent gets feedback it can act on, and you can trace the result back to the recorded run.
Agentic HIL connects to your probe through its backend: ST-Link through OpenOCD or the STM32CubeProgrammer CLI, and CMSIS-DAP probes through pyOCD. It also flashes and resets ESP32 targets through esptool and their USB-UART bridge, without opening a debug session. Hardware support follows the probe and backend.
Send commands and read responses over serial ports and CAN buses using PCAN, SocketCAN, or a custom bridge. Several runs can share a CAN bus through the broker.
Agentic HIL runs on Linux, macOS, and Windows with Python 3.10 or newer, with CI coverage across all three platforms. The Nucleo-F446RE example takes you through a complete run on the board used to demonstrate the loop. See installation for backend and platform details.
Write down what the device should do in a reviewable YAML test plan. The test reactor validates the plan before touching hardware, then flashes, resets, and exercises the device in the order you specify. Checks compare actual responses with exact values, patterns, or numeric ranges. A check passes when the device meets that expectation.
Plans name logical devices, and the bench configuration connects them to real hardware. Use the same plan at your desk and in CI. A failed step stops the run; sessions are cleaned up, and configured recovery actions and their outcomes are recorded with the test results. Write your first hardware test.
You decide which devices and actions your agent may use. Agentic HIL rejects undeclared devices before opening a driver. It enforces permissions, validates requests, applies timeouts, and records what happened. The CLI, MCP tools, pytest plugin, and test reactor all pass through the same gate.
The authoritative configuration lives outside the workspace, beyond the agent's own file tools. Review the permissions it grants. Use agentic-hil revoke or agentic-hil grant from your own shell to change individual grants. Over MCP, an agent can only narrow its authority. Flashing is refused while either allow_raw_debugger_commands or allow_mass_erase is enabled.
Device leases protect runs from interference across the machine, and a SHA-256 audit chain makes the hardware record tamper-evident. A failed run keeps its failed verdict while configured recovery works to restore the bench and records the outcome. A broken audit trail holds the bench until operator recovery, because another hardware test cannot rebuild missing evidence.
Read the safety model for the overview and the security design for the full reasoning.
Start with the Nucleo-F446RE demo. Connect the board, build the firmware, and set up Agentic HIL from the example's directory:
cd examples/nucleo-f446re_demo
cmake --preset Debug && cmake --build --preset Debug # → build/Debug/nucleo-f446re_demo.elf agentic-hil setup --agent claude-code # or: codex / opencode agentic-hil doctor
doctor checks the configuration against the attached bench and reports missing tools or hardware before you flash. If you connected the board after setup, agentic-hil adopt-hardware fills in the probe identity, backend executable, and COM device left unset. Use --dry-run to see the proposed changes first. On a host with OpenOCD and no STM32CubeProgrammer, the host's USB inventory can identify an attached ST-Link. Use --probe-id to select one when several probes are attached.
Run the example's hardware test plan:
agentic-hil test-reactor --test-config testconfig.yaml
The plan flashes the firmware, opens the serial port, resets the board, and checks the boot output for Hello World. A missing or wrong boot banner fails the test and returns the device output for diagnosis. The run closes the sessions it opened, including when a step fails.
Your agent can drive the same steps through MCP tools. Run pytest tests/ from the example directory to put the boot check in a regression suite. The example guide covers all three paths, and hardware testing shows how to write plans for your own device.
| Your next step | Read |
|---|---|
| Install, upgrade, or add CAN, pyOCD, or esptool support | docs/installation.md |
| Define the bench and its permissions | docs/configuration.md |
| Drive hardware through MCP | docs/mcp-tools.md |
| Connect a specific MCP host | docs/mcp-hosts.md |
| Write hardware tests with YAML or pytest | docs/testing.md |
| Understand how safety boundaries and recovery work | docs/safety-model.md and docs/security-design.md |
| Find platform and response-time commitments | docs/support.md |
| Diagnose a failed run | TROUBLESHOOTING.md |
| Set up your agent for this project | AI_AGENT_QUICKSTART.md and AGENTS.md |
Use agentic-hil for the package installation, CLI command, repository URL, and MCP server name. Python imports, pytest plugin names, fixtures, and Python examples use agentic_hil.
To work on Agentic HIL itself:
python -m pip install -e '.[dev]'
ruff check src tests evals tools pytest python -m build twine check dist/*
Releases publish to PyPI through GitHub trusted publishing in .github/workflows/workflow.yml. See CONTRIBUTING.md to contribute.
Solo se muestra el principio; lee el resto en el repo