taken
# taken?
[](https://pypi.org/project/taken-gh/)
[](https://github.com/RogueAlg0/taken/actions)
[](https://scorecard.dev/viewer/?uri=github.com/RogueAlg0/taken)
[](https://www.bestpractices.dev/projects/14960)
[](https://sonarcloud.io/project/overview?id=RogueAlg0_taken)
[](LICENSE)
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[](https://pypi.org/project/taken-gh/)
[](https://registry.modelcontextprotocol.io)
[](https://github.com/RogueAlg0/taken#hotspots)
<!-- mcp-name: io.github.RogueAlg0/taken -->
`taken?` answers one question before you volunteer for a GitHub issue: is it
already taken?
The catch it was built for: GitHub shows "linked a pull request" events in the
issue timeline, but never in the comments. You can read every comment on an
issue and still miss that someone already opened a PR for it. `taken?` checks
the timeline, scans comments for people claiming the work, looks at assignees,
reads CONTRIBUTING.md for AI contribution policies, and checks whether the
repo is still active. Then it gives a verdict, GO, TAKEN, or CAUTION, with the
evidence cited.
## Requirements
- Python 3.10 or newer
- The [GitHub CLI](https://cli.github.com/) (`gh`), authenticated
`taken?` only makes read-only API calls through your own `gh` login. It never
sees or stores tokens, and it never writes anything to GitHub.
## Install as a tool
uv tool install taken-gh
taken owner/repo#123
Or with pipx:
pipx install taken-gh
taken owner/repo#123
## Usage
uv run taken owner/repo#123
A full issue URL works too:
uv run taken https://github.com/owner/repo/issues/123
Useful flags:
- `--json`: print the full findings as JSON instead of the human summary
- `--me LOGIN`: ignore your own comments when scanning for claimants
- `--file PATH`: read targets from a file, one per line
- `--limit N`: scan mode checks at most N open issues per repo (default: 20)
- `--label LABEL`: scan mode only considers open issues carrying this label
- `--no-cache`: bypass the API response cache
- `--clear-cache`: delete the API response cache and exit
- `--graphql`: fetch each issue with one GraphQL query (`gh api graphql`)
instead of ~10 REST calls; same verdicts, opt-in (or `TAKEN_GRAPHQL=1`)
- `--persistent-session`: run the GraphQL query over one persistent HTTPS
connection for the whole process; the token comes from `gh auth token`
and is held in memory only. Opt-in (or `TAKEN_PERSISTENT_SESSION=1`);
see GRAPHQL_NOTES.md for the security tradeoff
- `--version`, `--help`
Exit codes: 0 means GO, 1 means TAKEN, 2 means CAUTION, 3 means something
broke (bad target, no `gh`, API error). With several targets the exit code
is 0 when every target produced a verdict and 3 when any target failed.
## Batch mode and repo scans
Give `taken` several targets and it prints one verdict line per target:
taken owner/repo#123 owner/repo#124 --me mylogin
TAKEN owner/repo#123 assigned to: dk5488
GO owner/repo#124 no linked PRs, no assignees, no claimants, repo is active
A bare `owner/repo` scans the repo automatically: its open issues
(most recently updated first, PRs excluded) are each checked:
taken django/django --label "good first issue" --limit 10
API responses are cached for one hour in `~/.cache/taken`
(override with `TAKEN_CACHE_DIR`), so repeated scans stay cheap.
`--no-cache` skips the cache; `--clear-cache` deletes it.
## Discover mode
`taken --discover` finds contribution candidates across GitHub. It
piggybacks on GitHub's issue search API (the same source the web
aggregators use) for raw candidates, then runs taken's full verification
on each one and ranks the survivors. Only GO verdicts make the list.
taken --discover --language python --min-contributors 3 --limit 10
6 octocat/hello-world#42 maintainer replied; updated 1d ago; repo pushed 0d ago
4 octocat/other-repo#7 updated 3d ago; repo pushed 2d ago
Candidates are scored on the signal no aggregator filters on: maintainer
responsiveness. A non-author, non-bot comment scores +3; an issue updated
in the last 7 days scores +2; a repo pushed in the last 7 days scores +1.
Each line explains its own score. `--label` restricts the search to one
label instead of the default set (`good first issue`, `good-first-issue`,
`beginner friendly`, `help wanted`).
Every candidate is also marked for first-time friendliness: the issue's
own labels (e.g. `[good first issue]`) plus repo-level signs that
contributions are welcome (`[has CONTRIBUTING.md]`, recent merged PRs).
Repo scans annotate the GO recommendations the same way, friendliest
first:
taken octocat/hello-world
GO octocat/hello-world#42 no claimant found
...
1 GO candidate: octocat/hello-world#42 (good first issue)
Candidates are verified in parallel (8 workers by default; `--jobs N`
tunes it). A progress bar on stderr shows live feedback during the run;
`--no-progress` hides it. The bar never touches stdout, so `--json`
stays script-friendly.
## JSON output
`taken --json owner/repo#123` prints an object with three keys:
- `verdict`: one of `GO`, `TAKEN`, `CAUTION`
- `reasons`: list of human-readable strings explaining the verdict
- `findings`: the raw check results:
- `target`: e.g. `owner/repo#123`
- `issue`: `number`, `state`, `title`, `labels`, `assignees`,
`comment_count`, `author`, `url`, `created_at`
- `linked_prs`: list of `number`, `title`, `state`, `merged`, `author`, `url`
- `claimants`: list of `author`, `date`, `pattern`, `snippet`, `url`
- `ai_policy`: `verdict` (`ban`, `disclosure-required`, or `none-found`),
`snippet`, `source`
- `repo_health`: `pushed_at`, `pushed_recently`, `recent_merges`, `stars`
## MCP server
`taken` also ships as an MCP server, so coding agents can check issues with a
tool call instead of shelling out to the CLI. It needs the same setup: `gh`
installed and authenticated, and it only makes read-only API calls through
your own login.
Run it directly (the MCP server needs the optional `mcp` dependency):
uvx --from "taken-gh[mcp]" taken-mcp
Or add it to your MCP client config:
{
"mcpServers": {
"taken": {
"command": "uvx",
"args": ["--from", "taken-gh", "taken-mcp"]
}
}
}
Three tools:
- `check_issue(owner, repo, issue_number, me?)`: GO/TAKEN/CAUTION verdict with
reasons and full findings for one issue.
- `scan_repo(owner, repo, limit?, label?, me?)`: the repo's open issues with
verdicts, GO first, plus `recommendations` (just the GO targets), a
verdict `summary`, and per-issue `friendly_labels` / `welcoming` markers
so the safest issues to adopt stand out.
- `discover_candidates(limit?, language?, label?, min_contributors?, me?)`:
good-first-issue style candidates, verified and ranked, each marked with
its first-time-friendly labels and contribution-welcome signals.
`scan_repo` and `discover_candidates` include `effective_parameters` in every
response so clients can see the resolved defaults and filters behind the
results. Their MCP input schemas also describe each optional parameter's
default.
`taken` is published in the official
[MCP Registry](https://registry.modelcontextprotocol.io) as
`io.github.RogueAlg0/taken`.
## Examples
An issue with a PR already fixing it:
$ uv run taken Exodus-Privacy/exodus#300
taken? Exodus-Privacy/exodus#300
verdict: TAKEN
...
why:
- open PR #700 already covers this: https://github.com/Exodus-Privacy/exodus/pull/700
An issue someone is already assigned to:
$ uv run taken chahe-dridi/vscode-agent-bell#200
taken? chahe-dridi/vscode-agent-bell#200
verdict: TAKEN
...
why:
- assigned to: dk5488
A clean issue, with your own volunteering comment filtered out:
$ uv run taken snowflakedb/snowflake-cli#3145 --me RogueAlg0
taken? snowflakedb/snowflake-cli#3145
verdict: GO
...
why:
- no linked PRs, no assignees, no claimants, repo is active
## How the verdict works
TAKEN wins over CAUTION, which wins over GO.
- TAKEN: the issue is closed, an open PR links to it, or someone is assigned.
- CAUTION: a comment says someone wants it (soft claim, they may have moved
on), a linked PR was merged but the issue is still open, the repo has an AI
policy to respect, or the repo looks inactive.
- GO: none of the above.
The claimant scan is a heuristic over comment text, not proof. The verdict
always prints its evidence so you can judge for yourself.
## Development
uv sync # install dev tools (ruff, pytest)
uv run pytest
uv run ruff check
uv run ruff format --check
## Hotspots
The hotspots badge tracks files that are both complex and frequently changed:
complexity is cyclomatic complexity summed per file (via radon); churn is the
number of commits touching the file. A file needs attention when it has
complexity >= 50 and >= 5 commits; these are the files where refactoring pays
off most.
To regenerate the badge data locally:
uv run --python 3.12 --with radon scripts/hotspots.py
## AI assistance
This project is built with AI assistance, and says so openly. Every
contribution is reviewed and understood by its author before it lands.
TDQS
Scored across 3 tools
Each tool targets a distinct scope: check_issue handles a single issue, scan_repo covers a repository's open issues, and discover_candidates searches globally across GitHub. There is no overlap in their primary inputs or outputs, making selection unambiguous.
All three tool names follow the same verb_noun snake_case pattern: check_issue, scan_repo, discover_candidates. The verbs clearly indicate the action (check, scan, discover) and the nouns the target (issue, repo, candidates), maintaining a predictable convention.
With exactly 3 tools, the server is tightly scoped to its purpose of finding and vetting contribution-worthy issues. Each tool occupies a distinct niche (specific, repo-level, and global discovery), and no tool feels redundant or unnecessary for the domain.
The tool surface covers the full lifecycle of discovery and verification: global search (discover_candidates), repo-wide filtering (scan_repo), and per-issue assessment (check_issue). A minor gap is the lack of a tool to directly mark or claim an issue, but that is outside the stated purpose of evaluating availability, so the coverage is nearly complete.