原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

FronyBoard

作者:Cafelatte1版本 0.43.0i★ –i在你的电脑上运行
注册名称io.github.Cafelatte1/fronyboard

安装

概览

作者提供的说明(英文原文)

Project tracker for AI agents: roadmap, periods, tasks and a validation gate, in one SQLite file

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "fronyboard": {
      "command": "uvx",
      "args": [
        "fronyboard"
      ],
      "env": {
        "AIRA_DATA_DIR": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add fronyboard --env AIRA_DATA_DIR=your-value -- uvx fronyboard

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "fronyboard": {
      "command": "uvx",
      "args": [
        "fronyboard"
      ],
      "env": {
        "AIRA_DATA_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "fronyboard": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "fronyboard"
      ],
      "env": {
        "AIRA_DATA_DIR": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • AIRA_DATA_DIR env
    Data root; default is Frony/FronyBoard/data under LOCALAPPDATA (or ~/.Frony/FronyBoard/data)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Cafelatte1 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 1152 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1152 个服务器的 76% 更新
  • 基础检查结果等于或优于此分类中其他 1152 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

FronyBoard 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.43.0)于10天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Supabase

MCP server for interacting with the Supabase platform

作者:supabase广泛使用↓ 23.5万/周★ 2993前天更新

电脑或云端✓ supabase.com

MongoDB MCP Server

MongoDB Model Context Protocol Server

作者:mongodb-js广泛使用↓ 15.7万/周★ 11574天前更新

在你的电脑上运行

Elasticsearch MCP Server

MCP server for interacting with Elasticsearch

作者:cr7258正在增长↓ 2711/周★ 31514个月前更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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:

JiraFronyBoard
DatabaseOne SQLite file in a dedicated data directory
RecordsJSON documents (roadmap, period) + Markdown
APIMCP tools
Workflow engineSchema + rule validation, run as a gate before every write
State transitionAn 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 is meta.completed_at.
  • The two notes answer different questions at different moments (v0.38.0, AIR-090). content is 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. check is required by transition_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 and update_task was never called. Reopening a task drops its check; 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_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.
  • `get_status` is the whole resume — the overview, each period's open tasks, and recent_done: the ten most recently finished tasks with their content, their check and 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 follows until v0.37.0; the boot migration renames it. It is a pointer, not a lock: list_tasks and get_status flag the entries not yet done as waiting_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_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

AreaTools
Projectscreate_project, update_project, list_projects, get_roadmap, get_status, validate
Roadmapset_overview, set_check, upsert_milestone
Periodsopen_period, close_period, get_retrospective
Planningcreate_task, update_task, transition_task
Querieslist_tasks, get_task, search_tasks, recent_activity
Guidehelp — 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
问 PopNx