minddy

io.github.mangue-dev由 GitHub 帳號 mangue-dev 發布v0.10.30更新於 Oct 26, 2026

Minimal issue tracker: projects, objectives and trackable plans, written by agents over MCP.

已驗證Streamable HTTP可網頁執行效率與工作流知識與記憶

概覽

AI 產生的概覽

Minddy 的託管 MCP 端點,讓 AI 助理在團隊議題追蹤器中處理專案、議題、目標、Wiki 頁面與回饋。

可以做什麼
  • 在專案中建立、分類與更新議題,包含週期與目標
  • 撰寫與編輯巢狀的專案 Wiki 頁面,例如規格、決策與維運手冊
  • 使用已儲存的檢視與公開回饋看板,並把回饋連結到議題
  • 執行排程例行事項與 Numo 對話,直接更新工作區內容
適用情境
適合已在使用 Minddy 的小型產品團隊,希望編碼或助理代理直接讀寫團隊同一份待辦清單,而不必手動把議題複製成提示詞。
執行需求
遠端 MCP 端點,透過 streamable HTTP 連線至 Minddy 主機並以 OAuth 登入;未宣告本機執行環境或環境變數。若要自行架設應用程式,則需要 Node.js 24.x、pnpm 10 以及一個 Supabase 專案。
安裝前請注意
助理可以建立與修改共用團隊工作區中的議題、頁面與回饋貼文,變更對同事可見。存取透過 OAuth 授權到你的 Minddy 帳號,請確認授權的工作區與權限範圍。自架需要 Supabase 金鑰(例如 SUPABASE_SERVICE_ROLE_KEY),切勿提交到程式碼庫。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 minddy,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.mangue-dev%2Fminddy/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "minddy": {
      "type": "http",
      "url": "https://www.minddy.app/api/mcp"
    }
  }
}

README

[minddy app icon]

minddy

Issue tracking, product knowledge, and Numo in one open-source workspace.

minddy is an open-source issue tracker for small product teams. It keeps the daily work in one place: projects, issues, objectives, saved views, collaborative pages, a public feedback board, and an MCP server that lets coding agents work with the same backlog as the team.

The application is built with Next.js, React, Tailwind CSS, and Supabase. It also includes optional macOS, Linux, and Microsoft Store Windows desktop shells and integrations for GitHub, GitLab, Stripe, and OpenRouter.

[A minddy project board with issues grouped by status]

Product tour

Track work with Numo

Start one Numo conversation from its page or the contextual floating button. Numo answers with project context and updates Minddy directly: it creates and triages issues, fills cycles, writes pages, and runs scheduled routines. Coding stays with your own agent: copy an issue as a prompt, then review the linked pull request in Minddy.

[A minddy board with the new issue dialog open]

Keep durable knowledge beside the backlog

Write specifications, decisions, runbooks, and meeting notes in a nested project wiki. Pages support rich Markdown, issue mentions, attachments, history, and read-only sharing, so both people and connected agents can work from the same source of truth.

[The minddy page editor showing a release process document]

Connect customer feedback to delivery

Publish a feedback board where users can submit requests and vote. The team can triage posts, reply publicly, merge duplicates, and link feedback to issues so its public status follows the work through delivery.

[A public minddy feedback board with requests, statuses, and vote counts]

Run locally

Requirements: Node.js 24.22.1 or a later 24.x and pnpm 10 (the versions used by CI), plus a Supabase project for an interactive application.

bash
corepack enablecorepack prepare [email protected] --activatepnpm install --frozen-lockfilecp .env.example .envpnpm dev

.env.example documents every optional integration and the Supabase dashboard settings. At minimum, set MINDDY_PUBLIC_SUPABASE_URL, MINDDY_PUBLIC_SUPABASE_ANON_KEY, and SUPABASE_SERVICE_ROLE_KEY for a local application that can access its data. Never commit .env or production credentials.

The development command builds the page-markdown bundle before starting Next.js. See CONTRIBUTING.md before running code from an untrusted pull request: dependency installation, tests, and development commands execute repository code.

Minddy Cloud is the hosted and operated option from Minddy. Self-hosted is the same public core on infrastructure you control: no Minddy account, Stripe, PostHog, or managed provider is required. The edition guide explains the choice, data flows, responsibilities, and costs in one place. To install your own instance, start with the step-by-step self-hosting installer for this computer or a shared server. On your own computer, the desktop app's Self-host minddy › Install on this computer runs the whole local installation for you. Use docs/self-hosting.md as the technical reference for topology, configuration, and reproducible Supabase bootstrap. On a fresh local clone, use pnpm bootstrap:supabase before pnpm dev instead of manually applying SQL in the Supabase dashboard. After installation, follow the self-hosted operations runbook for upgrades, coordinated Postgres and Storage backups, disaster recovery, and rollback. Release acceptance is recorded with the isolated clean-room self-hosting scenario. The official multi-architecture OCI image, its tag policy, and verification commands are documented in docs/container-image.md.

Common commands

bash
pnpm dev          # run the web app locallypnpm lint         # lintpnpm typecheck    # type-checkpnpm test         # run the test suitepnpm build        # production buildpnpm desktop:dev  # run the optional desktop shell

Architecture and deployment

Development follows a trunk-based branch contract: short-lived work branches merge by pull request into main, the integration branch and preview candidate. After CI and explicit production approval, automation fast-forwards production to the selected main SHA. There is no long-lived develop or release branch, and no human writes directly to production.

  • Web app: Next.js App Router, React, Tailwind CSS, and Minddy's own UI components (components/ui/, Radix-based).
  • Data and auth: Supabase Postgres, Auth, Storage, and Realtime.
  • Numo and agent integration: Unified Numo conversations, scheduled routines, and an OAuth 2.1 MCP endpoint for external agents.
  • Deployment: pnpm deploy is the interactive maintainer entry point. It detects whether to release the public core, deploy the Minddy Cloud web app, and publish desktop applications for macOS, Linux, and Windows, with automatic, all, custom, and Windows-only modes. The Windows-only mode reuses an existing core release and avoids starting macOS or Linux runners. The assistant waits for CI, requests an approved fast-forward from main to production, verifies the Vercel Production deployment, and only tags that deployed SHA. Builds and production secrets never come from the maintainer's machine. Self-hosters should adapt its production/Vercel conventions to their own hosting.

Public releases are distinct from deployments. Their SemVer/tag policy, artifacts, checksums, migrations, CI provenance, desktop distribution, and rollback procedure are documented in docs/releases.md. Linux installation, GPG verification, XDG paths, and update behavior are documented in docs/linux-desktop.md. The registration of the MCP server in the public registry after each release is documented in docs/mcp-registry-publication.md.

The CI workflow is the source of truth for checks. It runs the public-repository check, lint, typecheck, desktop bundle build, tests, and dependency audit. See CONTRIBUTING.md for contribution and review guidance, and SECURITY.md for the security model and vulnerability reporting.

Community and governance

  • Propose bugs and improvements through the repository's structured issue forms, and read CONTRIBUTING.md before opening a pull request.
  • Ask usage and self-hosting questions in GitHub Discussions. The boundaries between best-effort community help and commercial support are documented in SUPPORT.md.
  • Project roles, decisions, reviews, protected branches, and dependency policy are defined in GOVERNANCE.md.
  • Participation is subject to the Code of Conduct. Report vulnerabilities privately as described in SECURITY.md.

License

minddy is released under the GNU AGPL v3.0 only. If you operate a modified version for users over a network, you must offer those users the corresponding source code. See the licensing policy, including the limits on use of the minddy name and logos.

來源:README.md,提交 d6dce93

工具

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版本歷史

1
  1. v0.10.30最新Sep 22, 2026

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