Server data from the Official MCP Registry
Your Heart workout log: workouts, records, templates, programs. Holds no health data.
About
Your Heart workout log: workouts, records, templates, programs. Holds no health data.
Remote endpoints: streamable-http: https://mcp.heart-of.me
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"me-heart-of-heart": {
"url": "https://mcp.heart-of.me"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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:
- api/README.md — server architecture, routing/db/AWS conventions, testing
- database/README.md — migrations + pgtap
- infrastructure/README.md — Terraform stacks + deployment
Stack
| Layer | Tech |
|---|---|
| Server runtime | Dart 3.10 + relic, compiled to native + Lambda Web Adapter |
| Storage | Postgres (Supabase), no ORM — raw SQL |
| Object storage / CDN | S3 + CloudFront |
| Auth | Firebase OIDC token verification |
| Async | EventBridge S3-rules → SQS → /events (Lambda routes events back to itself) |
| Scheduled jobs | EventBridge Scheduler → SQS → /events |
| Side services | Python 3.13 Lambdas in a uv workspace: firebase/ (push, auth cleanup), assets/ (media) |
| IaC | Terraform (with Supabase provider) |
| CI/CD | GitHub Actions, OIDC role for AWS |
| Tests | Dart test + mockito for app code, pgtap for the database, pytest for the Python services |
Local development
make bootstrap # dart pub get + mocks for all packages, uv sync, git hooks
make db-up # containerized Postgres 17 + pgtap (skip if you run a native one)
make test # the full matrix: Dart x3, migrations + pgtap, pytest x3
make 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):
- Lint, format check, analyze
- Dart tests across all three packages
- Database tests: ephemeral Postgres + pgtap via
scripts/db_tests.sh, then the full api suite (includingdb-tagged integration tests) with a coverage floor - Apply unapplied migrations to Supabase
- 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 inapi/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.
Reviews
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