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Contributing to hive-mcp

Thanks for wanting to help! hive-mcp is a community project, and every kind of contribution is welcome: bug reports, notes on how Hive’s API behaves, documentation fixes, new tools and code review.

By taking part you agree to follow the code of conduct.

  • Report a bug. Use the bug report form. Include the hive-mcp version, the tool involved, your Hive device models and the exact error, and strip out your email address, password, tokens, device IDs, postcode and any other private details.
  • Share what you’ve learned about Hive’s API. It’s undocumented, so a note in an issue or discussion saying “the Hive app sends X to change Y”, or “my device reports this field”, is genuinely useful. Anonymise anything you paste.
  • Suggest a feature. Open a feature request. If you know the request the Hive app or pyhiveapi makes for it, include it. It’s often most of the work.
  • Improve the docs. Typos, unclear steps and missing examples are all fair game. Small docs fixes can go straight to a pull request.
  • Write code. Look for issues labelled good first issue or help wanted. For anything big, please open an issue first so we can agree on the approach before you invest time.
  • Report a vulnerability privately. See SECURITY.md. Please don’t open a public issue for it.

You need Go 1.25+ and, to build the image, Docker.

Terminal window
git clone https://github.com/<you>/hive-mcp.git # your fork
cd hive-mcp
make test

make test runs the whole suite against a built-in mock Hive in a few seconds. You don’t need a Hive account to contribute.

See docs/development.md for the architecture, the login flow, the mock and a walkthrough of adding a tool.

  1. Fork the repository and create a branch from main, for example git checkout -b feat/edit-schedules.

  2. Make your change with tests. Keep it focused: one feature or fix per pull request.

  3. Run the checks that CI runs:

    Terminal window
    make test # go test ./...
    make lint # gofmt and go vet
    make docs-check # docs/tools.md matches the code
    make image # optional: the image builds and the tests pass inside it
  4. Update the docs. If you changed tools, run make docs. Update README.md or docs/ if behaviour changed, and add a line under Unreleased in CHANGELOG.md for anything users will notice.

  5. Open a pull request against main and fill in the template.

  • CI must be green. It runs the tests, lint and the generated-docs check, builds the image for amd64 and arm64, and smoke-tests the container.
  • Match the existing style: gofmt, small focused functions, errors that tell the user what to do, and comments that explain why rather than what.
  • No new dependencies without discussion. The project deliberately stays small. The only direct dependencies are the MCP Go SDK and jsonschema-go.
  • Never include real passwords, tokens, token files, device IDs, addresses or other personal data in code, tests, fixtures or screenshots. Use obviously fake values like sam@example.com and AB1 2CD.
  • Maintainers may push small fixes to your branch or squash commits when merging.
  • Label suggestions (bug, enhancement, new-tool, compatibility, documentation, breaking, …) are welcome. Labels sort the auto-generated release notes.
  • Use the imperative mood with a subject of 72 characters or fewer, for example “Add schedule editing” or “Fix boost cancel for TRV zones”.
  • Add a body that explains why when it isn’t obvious.
  • Reference issues with Fixes #123 where relevant.

The full guide is in docs/development.md. The short version:

  • Put the tool in the right toolset file under internal/tools/, using add[In]() with a Def and an input struct whose json and jsonschema tags define the arguments.
  • Set its Gate correctly: Write for anything that changes the home. This gating is the project’s main safety feature, so reviewers check it carefully.
  • Validate every value before it reaches Hive, and give ranges with Ranges so they appear in the schema.
  • Send what the Hive app and pyhiveapi send. Hive’s API is undocumented, so guesses can do odd things to a real home.
  • Return compact summaries, offer raw: true, and never return passwords, tokens or device secrets.
  • Write the description for an AI model: what the tool does, units, and side effects.
  • Add tests against the mock, then run make docs.

Changing an existing tool’s name or arguments in an incompatible way, or moving it to a less restrictive gate, is a breaking change. Call it out in the PR and the changelog.

Releases are made by maintainers by publishing a GitHub release. That triggers the workflow that builds and pushes the Docker image. See docs/releasing.md.

Ask in GitHub Discussions, or comment on the issue you’re working on. No question is too small.