FronyBoard
Project tracker for AI agents: roadmap, periods, tasks and a validation gate, in one SQLite file
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
fronyboardclaude mcp add fronyboard -e 'AIRA_DATA_DIR=<AIRA_DATA_DIR>' -- uvx fronyboard==0.40.0
{
"mcpServers": {
"fronyboard": {
"command": "uvx",
"args": [
"fronyboard==0.40.0"
],
"env": {
"AIRA_DATA_DIR": "<AIRA_DATA_DIR>"
}
}
}
}
Environment variables
AIRA_DATA_DIRData root; default is Frony/FronyBoard/data under LOCALAPPDATA (or ~/.Frony/FronyBoard/data)
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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 <path-to-clone>\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. cancelledis 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_statusis the whole resume — the overview, each period's open tasks, andrecent_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_onon 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 wasfollowsuntil 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
resultfield 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 |
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
Frequently asked questions
What is FronyBoard?
Project tracker for AI agents: roadmap, periods, tasks and a validation gate, in one SQLite file
How do I install FronyBoard?
It runs on your machine. In Claude Code: claude mcp add fronyboard -e 'AIRA_DATA_DIR=<AIRA_DATA_DIR>' -- uvx fronyboard==0.40.0. For other clients, paste the JSON configuration from this page into their MCP settings.
Does FronyBoard need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is FronyBoard open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains FronyBoard?
It is published by Cafelatte1. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.