Heart

me.heart-of由 heart-of.me 发布官方发布者v1.0.0更新于 Nov 7, 2026

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

已验证Streamable HTTP可网页运行位置与生活效率与工作流

概览

AI 生成的概览

Heart of Yours 健身应用的远程 MCP 端点,让助手访问用户的训练日志:训练、记录、模板和计划。

可以做什么
  • 按注册表描述,处理用户的训练日志:训练、个人记录、模板和计划。
  • 清单未列出具体工具,因此这里无法说明确切的操作。
  • 其后端还提供动作库和应用内容,但 README 未说明 MCP 端点是否开放这些内容。
适用场景
希望助手在对话中查看或处理 Heart of Yours 训练日志——回顾训练、记录、已保存的模板或计划——时使用。
运行要求
远程 streamable HTTP 端点 mcp.heart-of.me,需要 OAuth 认证。未声明环境变量或请求头。README 描述的后端使用 Firebase 认证,但 MCP 端点自身的认证流程未详细说明。
安装前请注意
OAuth 登录会让助手访问你账户中的训练数据,请确认所请求的权限范围。注册表描述称该服务器不保存健康数据,因此不要假定可获取医疗或健康指标。README 记录的部署与数据库流程(迁移、CI 部署)并未说明为 MCP 工具。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Heart,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/me.heart-of%2Fheart/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "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.

来源:README.md,提交 5edff5e

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Oct 31, 2026

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