FronyBoard
Resumen
Descripción del creador (original en inglés)
Project tracker for AI agents: roadmap, periods, tasks and a validation gate, in one SQLite file
Los tres pilares de PopNx MCP
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
- Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
- Nuestras revisiones básicasi1 de 1 superadasRevisado con información pública; el código aún no se ha escaneado
- UsoiMuy nuevo↓ 65/sem · ★ –
Qué puedes hacer con él
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
- Conexión: Se ejecuta en tu computadora
- Transporte: stdio
- Categoría: Bases de datos y conjuntos de datos
Instalación
Elige la app de IA que usas y copia la configuración.
Antes de instalar
- Revisiones básicas: 1 de 1 superadas
- Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
- Debes completar tú:
AIRA_DATA_DIR
Necesitas
- PyPIuv de Python instalado (para el comando uvx)
¿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": {
"fronyboard": {
"command": "uvx",
"args": [
"fronyboard"
],
"env": {
"AIRA_DATA_DIR": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add fronyboard --env AIRA_DATA_DIR=your-value -- uvx fronyboardCompleta los valores vacíos antes de ejecutarlo.
O copia la configuración tú
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"fronyboard": {
"command": "uvx",
"args": [
"fronyboard"
],
"env": {
"AIRA_DATA_DIR": "your-value"
}
}
}
}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.
O copia la configuración tú
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"fronyboard": {
"type": "stdio",
"command": "uvx",
"args": [
"fronyboard"
],
"env": {
"AIRA_DATA_DIR": "your-value"
}
}
}
}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.
Valores que debes completar
AIRA_DATA_DIRenvData root; default is Frony/FronyBoard/data under LOCALAPPDATA (or ~/.Frony/FronyBoard/data)
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Qué puede hacer
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisiones básicasi
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
- ✓ Superada
El creador coincide con el repo
El nombre en el registro se verificó con la cuenta de GitHub Cafelatte1, dueña del repo
- … Aún sin revisar
Sigue en mantenimiento
Todavía no hemos leído este repo en GitHub
- … Aún sin revisar
Tiene licencia
Todavía no hemos leído este repo en GitHub
- – No aplica
El endpoint responde
Este se ejecuta en tu computadora; no hay endpoint en internet
- – No aplica
Inicio de sesión con OAuth
Se ejecuta en tu computadora y usa ajustes locales en su lugar
- … Aún sin revisar
Sin instrucciones ocultas en las descripciones de herramientas
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con otros en Bases de datos y conjuntos de datosi
- Más estrellas que el 0% de los otros 1144 servidores de esta categoría
- Publicado en el registro más recientemente que el 78% de los otros 1144 servidores de esta categoría
- Revisiones básicas iguales o mejores que el 100% de los otros 1144 servidores de esta categoría
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Preguntas frecuentes
¿Es seguro FronyBoard?
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.
¿Qué claves o códigos necesita?
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
¿Se ejecuta en mi computadora o en la nube?
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).
¿Sigue en mantenimiento?
El repo de GitHub cambió por última vez –, y la última versión (0.43.0) llegó al registro hace 9 días.
¿Qué apps pueden usarlo?
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
¿Qué puedo usar en su lugar?
En la misma categoría: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Alternativas
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
README del creador
Abrir el README
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.
FronyBoard
An MCP server that gives AI agents (Claude Code and friends) a first-class project tracker.
Where Jira is an issue tracker for humans behind a web UI, FronyBoard replaces each part with something an agent can use natively:
| Jira | FronyBoard |
|---|---|
| Database | One SQLite file in a dedicated data directory |
| Records | JSON documents (roadmap, period) + Markdown |
| API | MCP tools |
| Workflow engine | Schema + rule validation, run as a gate before every write |
| State transition | An MCP tool call (transition_task) |
The schema and operating rules were extracted from a real product's management system (31 tasks shipped through it), then generalized.
Install
Requires uv. One line registers FronyBoard in Claude Code; uvx fetches the package from PyPI on first use and caches it:
claude mcp add FronyBoard -- uvx fronyboard
Any MCP client that can launch a stdio command works the same way — the command is uvx fronyboard. It is also listed in the MCP Registry as io.github.Cafelatte1/fronyboard. From a clone, point at the checkout instead (this needs git):
git clone https://github.com/Cafelatte1/fronyboard
claude mcp add FronyBoard -- uv run --directory \backend fronyboard
This is the local (stdio) mode: the client starts the server as a child process and talks to it over a pipe. No HTTP, no network, no credentials — web.py and fauth.py are never called. Data is written to %LOCALAPPDATA%\Frony\FronyBoard\data (~/.Frony/FronyBoard/data where LOCALAPPDATA is unset); set AIRA_DATA_DIR to relocate it. Logs (JSON Lines, one line per MCP tool call plus server events) go to the sibling logs folder — FRONYBOARD_LOG_DIR overrides.
To share one FronyBoard between several machines, or to use it from the Claude and ChatGPT apps, run it as an HTTP server instead — see docs/self-hosting.md.
Project setup
Connecting the MCP server gives every session the tools and the general workflow (delivered as server instructions). What it cannot know is which FronyBoard project a codebase belongs to — declare that in the codebase itself by adding this section to its CLAUDE.md (create the file if the project has none):
## FronyBoard
This project is tracked by FronyBoard (project key: DLY). Manage tasks through the FronyBoard MCP tools, following the FronyBoard server instructions.
Replace DLY with the project's key (register one first with create_project). The section is also the opt-in signal: a codebase without it is treated as not FronyBoard-managed.
Model
fronyboard.db
├── projects one row per project (key e.g. DLY): the roadmap record — │ yearly overview (goal / now / target / checklist) + quarterly milestones └── periods one row per opened period (e.g. 2026Q3): tasks ({KEY}-001, ...)
result(retrospective, written when the period closes)
A project is two kinds of records — the roadmap, and one record per period. Both are JSON documents; the schema and the rules that guard it are in backend/src/fronyboard/validation.py.
- Task ids are a project-global sequence (
DLY-042) — they keep counting across periods and are never reused. They are the only link between FronyBoard and a codebase: use them in branch names (feat/DLY-042/short-desc) and record the branch on the task. - A task is a title (v0.33.0, AIR-086) plus status, tags,
depends_on, branch and two one-line notes of at most 300 characters each. Agents read titles and status; the 25-line body nobody read, and the month/week slots that only existed to schedule it, are gone. Time ismeta.completed_at. - The two notes answer different questions at different moments (v0.38.0, AIR-090).
contentis written at create time and says why the task exists — the pressure behind it, or the scope deliberately left out. The approach chosen is not part of it (AIR-092): agents wrote it here and again in the commit, so it lives in the commit only.checkis required bytransition_task(status="done")and says what proves it done — the command and its output, or an observable a reader can go and see. One free note asked before the work can only restate the plan: in a 12-session benchmark every task an agent wrote paraphrased its own title, because the note was fixed at create time andupdate_taskwas never called. Reopening a task drops itscheck; nothing is proven any more. - Reference chain:
period → roadmap milestone(the quarter). That is the only one, and the milestone is optional (v0.40.0, AIR-095): a period without one is valid, and its tasks are checked like any other's. - Statuses — milestones:
planned | active | done; tasks:todo | in_progress | done | blocked | cancelled. - `cancelled` is the soft delete — there is no hard delete. Cancelling requires a reason, keeps the record (and its id) forever, and hides the task from queries by default (
list_taskstakesinclude_cancelled).blocked= may resume,cancelled= will not happen; transitioning a cancelled task restores it. - Carry-over: a task that outlives its period is not moved — recreate it in the next period under a new id and note the mapping in the closing retrospective.
- `get_status` is the whole resume — the overview, each period's open tasks, and
recent_done: the ten most recently finished tasks with theircontent, theircheckand when they completed. What is already built is what a cold session needs most, and nobody makes a second call to find it (AIR-090). It is still a record of claims: the board says what an agent reported, the code is the evidence. - `depends_on` on a task lists the earlier tasks it builds on (other projects allowed). It points backwards only — there is no forward index, because storing one direction and deriving the other read as inverted often enough to be worth dropping (v0.36.0, AIR-089). The field was
followsuntil v0.37.0; the boot migration renames it. It is a pointer, not a lock:list_tasksandget_statusflag the entries not yet done aswaiting_on, and nothing is ever blocked. - Timestamps (
meta.created_at/updated_at/started_at/completed_at) are stamped by the server in naive UTC —started_aton the firstin_progresstransition,completed_atondone(and removed again if the task leavesdone). Agents never write them. - The `result` field closes a period — the rest of the file holds only current state, so the "why it turned out this way" lives there: judgment and reasons, not counts. Its presence is what marks a period closed.
Tools
| Area | Tools |
|---|---|
| Projects | create_project, update_project, list_projects, get_roadmap, get_status, validate |
| Roadmap | set_overview, set_check, upsert_milestone |
| Periods | open_period, close_period, get_retrospective |
| Planning | create_task, update_task, transition_task |
| Queries | list_tasks, get_task, search_tasks, recent_activity |
| Guide | help — the full usage guide as Markdown; the server instructions point to it |
update_task and transition_task derive the project from the task id prefix (DLY-042 → DLY), so their key parameter is optional. Re-calling close_period on a closed period rewrites its retrospective.
Typical flow:
create_project
→ create_task (opens the current quarter) → transition_task in_progress (with branch) → ... → transition_task done → close_period (retrospective)
Planning is optional, not a prerequisite. create_task opens the current quarter by itself (in FRONYBOARD_TZ, else the server's zone); open_period opens any other quarter, with or without a milestone. set_overview and upsert_milestone add the year's and the quarter's goals whenever there are some. A milestone added to an open quarter starts active; closing the quarter marks it done.
Every mutation is validated before anything is written; invalid changes are rejected with the full error list. close_period refuses while tasks are still todo or in_progress. Writes are serialized per project, so concurrent clients cannot collide on ids or lose updates.
Self-hosting
The same package also runs as an always-on HTTP server (fronyboard serve): MCP over streamable HTTP for every machine on your network, a read-only web dashboard for humans, API keys per device, and OAuth for the hosted Claude / ChatGPT apps. Authentication is delegated to FronyAuth, a separate service. None of it is needed for the stdio install above. To see the dashboard on your own machine without any of that, run fronyboard serve --local (loopback only, no login) and open http://127.0.0.1:8642. docs/self-hosting.md covers the setup; docs/operations.md is the day-2 runbook.
Development
uv run --directory backend pytest # backend
cd frontend; npm test # dashboard
The repo is a monorepo. backend/src/fronyboard/ — store.py (SQLite, data root), validation.py (schema gate), service.py (operations), auth.py (bearer middleware) + fauth.py (FronyAuth client), log.py, web.py (JSON API + static serving), server.py (MCP tool surface + CLI). frontend/ — the dashboard (React + Vite), built to static files that the backend serves; its build output frontend/dist is committed so a server needs no Node toolchain.
The three docs under docs/ cover what the code cannot tell you — running this on your own machines:
- docs/self-hosting.md — running FronyBoard as a shared server: clients, dashboard, hosted apps, deploy
- docs/operations.md — home server runbook