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:

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; see docs/logging.md.

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): monthly milestones (M1, M2, ...)
               + 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 shapes are in docs/data-model.md.

• 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.
• Reference chain: task.month → months[].id, period file → roadmap milestone. Rollups follow this chain — months are the grouping unit.
• Statuses — milestones and months: 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_tasks takes include_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.
• follows on a task lists the tasks it continues from (other projects allowed). It is a pointer, not a lock: get_task shows the reverse as followed_by, list_tasks flags waiting_on while predecessors are open, and nothing is ever blocked.
• Timestamps (meta.created_at / updated_at / started_at / completed_at) are stamped by the server in naive UTC — started_at on the first in_progress transition, completed_at on done (and removed again if the task leaves done). 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

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.

The two upsert_* tools sit at different levels: upsert_milestone is a quarter in the roadmap, upsert_month is one of the three months inside a period that is already open. A task's month is a month id (M1/M2/M3), never YYYY-MM.

Typical flow:

create_project → set_overview → upsert_milestone → open_period
→ upsert_month / create_task
→ transition_task in_progress (with branch) → ... → transition_task done
→ close_period (retrospective)

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.

More docs under docs/:

• docs/self-hosting.md — running FronyBoard as a shared server: clients, dashboard, hosted apps, deploy
• docs/auth.md — access channels (CLI agents, desktop, dashboard, hosted apps) and how each authenticates
• docs/http-api.md — the FronyBoard JSON API
• docs/data-model.md — field-level schema and validation rules
• docs/operations.md — home server runbook