Heart

me.heart-of由 heart-of.me 發布官方發布者v1.0.0更新於 Nov 7, 2026

Your Heart workout log: workouts, records, templates, programs. Holds no health data.

已驗證Streamable HTTP可網頁執行位置與生活效率與工作流

概覽

AI 產生的概覽

Heart of Yours 健身應用程式的遠端 MCP 端點,讓助理存取使用者的訓練日誌:訓練、紀錄、範本與計畫。

可以做什麼
  • 依註冊表描述,處理使用者的訓練日誌:訓練、個人紀錄、範本與計畫。
  • 清單未列出個別工具,因此這裡無法說明確切的作業內容。
  • 其後端也提供動作庫與應用程式內容,但 README 未說明 MCP 端點是否開放這些內容。
適用情境
想在對話中讓助理檢視或處理 Heart of Yours 訓練日誌——回顧訓練、紀錄、已儲存的範本或計畫——時使用。
執行需求
遠端 streamable HTTP 端點 mcp.heart-of.me,需要 OAuth 驗證。未宣告環境變數或標頭。README 描述的後端使用 Firebase 驗證,但 MCP 端點本身的驗證流程未詳細說明。
安裝前請注意
OAuth 登入會讓助理存取你帳戶中的訓練資料,請確認所要求的權限範圍。註冊表描述稱此伺服器不保存健康資料,因此不要假定可取得醫療或健康指標。README 記載的部署與資料庫流程(遷移、CI 部署)並未說明為 MCP 工具。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Heart,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/me.heart-of%2Fheart/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": {
    "heart": {
      "type": "http",
      "url": "https://mcp.heart-of.me/"
    }
  }
}

README

Heart of Yours

Backend for the Heart of Yours fitness app. Dart server on AWS Lambda behind API Gateway, Postgres via Supabase, all CDN/storage on AWS.

Repository layout

heart-go/├── api/                       # Dart server (Lambda entrypoint)├── shared/│   ├── heart_models/          # Data classes + service interfaces (used by api + the Flutter client)│   └── heart_aws/             # Boto3-shaped AWS clients (S3, SQS, SNS, Scheduler) on aws_signature_v4├── database/│   ├── migrations/            # Forward-only SQL migrations│   ├── tests/                 # pgtap suite — public/{tables,functions}, archive/...│   └── test_utils/            # Test helpers (builders + JSON validators)├── firebase/                  # Python Lambda: FCM push + Firebase auth cleanup (uv workspace member)├── assets/                    # Python Lambda: exercise media processing pipeline (uv workspace member)├── infrastructure/            # Terraform stacks (api, assets, cdn, content, firebase, monitoring)│                              # + environments/{dev,prod} — see infrastructure/README.md├── content/                   # Exercise library YAML + schema + sample templates JSON, synced to CDN├── scripts/                   # Migration runner, db test runner, library sync/validation├── site/                      # Static marketing/legal pages├── docs/                      # Dated design docs; handoff.md is the definition of done, style.md the house style├── agents/                    # Autonomous agent launchers + guard hook (see agents/README.md)└── .github/workflows/         # CI: deploy-api, deploy-assets, deploy-firebase, exercise-library                               # (each split into a reusable workflow + dev/prod wrappers)

Per-component docs:

Stack

LayerTech
Server runtimeDart 3.10 + relic, compiled to native + Lambda Web Adapter
StoragePostgres (Supabase), no ORM — raw SQL
Object storage / CDNS3 + CloudFront
AuthFirebase OIDC token verification
AsyncEventBridge S3-rules → SQS → /events (Lambda routes events back to itself)
Scheduled jobsEventBridge Scheduler → SQS → /events
Side servicesPython 3.13 Lambdas in a uv workspace: firebase/ (push, auth cleanup), assets/ (media)
IaCTerraform (with Supabase provider)
CI/CDGitHub Actions, OIDC role for AWS
TestsDart test + mockito for app code, pgtap for the database, pytest for the Python services

Local development

bash
make bootstrap   # dart pub get + mocks for all packages, uv sync, git hooksmake db-up       # containerized Postgres 17 + pgtap (skip if you run a native one)make test        # the full matrix: Dart x3, migrations + pgtap, pytest x3make lint        # dart analyze x3 + ruff

Each suite can also run individually — make test-dart / test-db / test-python, or the underlying commands directly (see the Makefile and per-component READMEs).

The api package can be run locally against any Postgres + AWS profile — see api/README.md.

Deployment

Every workflow family is a reusable workflow plus thin -dev / -prod wrappers. Dev ships from main pushes. Prod: api and exercise-library ship from v* tags; assets and firebase prod deploys are currently manual (workflow_dispatch). Pull requests run the test jobs only — the deploy jobs are gated on the event type.

deploy-api.yml (api/shared/database changes):

  1. Lint, format check, analyze
  2. Dart tests across all three packages
  3. Database tests: ephemeral Postgres + pgtap via scripts/db_tests.sh, then the full api suite (including db-tagged integration tests) with a coverage floor
  4. Apply unapplied migrations to Supabase
  5. Build Lambda binary, update function, smoke-test /version

deploy-firebase.yml / deploy-assets.yml (Python changes): pytest, then package and update the function code.

exercise-library.yml (content changes): validate the library YAML against its JSON schema plus the sync parser, then sync exercises + translations to Postgres (guarded against mass-archiving).

Conventions

  • Migrations are forward-only. No down migrations. Wrong schema → write a new migration that fixes it.
  • No comments unless the WHY is non-obvious — naming carries the WHAT.
  • Single source of truth for shapes. Anything the client sees lives in heart_models; server-only types stay in api/lib/models.
  • Boto3-shaped AWS package — generic, no domain knowledge in heart_aws.

Licence

The server and everything else in this repository is under the GNU AGPL v3.0. The shared packages (shared/heart_models, shared/heart_aws, shared/heart_design) are under the Apache License 2.0, and the exercise library and other content in content/ under CC BY 4.0. The name and logo aren't covered by any of them. NOTICE has the full map, including what in the repository isn't ours. The reasons are in docs/2026-10-24.licence.md.

Contributing

Contributions come in under the licence of the directory they change (inbound = outbound): AGPL for the server, Apache-2.0 for the shared packages, CC BY 4.0 for content/. Opening a pull request means you agree to that and that the work is yours to give. There is no CLA.

來源:README.md,提交 5edff5e

工具

0
該伺服器需要登入,因此 SourceWeft 無法在沒有帳號的情況下讀取其工具,也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

1
  1. v1.0.0最新Oct 31, 2026

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