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Gives coding assistants repo status, commit, test, and lint checks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-dev-tools" yet — see the docs or source repo.
In the current real repository, check git status, recent commits, run tests, and execute lint; then summarize any uncommitted changes or failures.
A summary of repo status, recent commits, test results, and lint results.
I’m about to commit code. Check the current branch status, recent commits, and run tests and lint; tell me whether it’s safe to commit.
A commit-readiness verdict with any issues to fix.
In the repository, inspect recent commits and rerun tests and lint to help identify changes that may have caused a CI failure.
Suspicious commits and related test or lint issues.
Developers can use it before committing to verify a clean working tree, review recent changes, and confirm tests and lint pass. It fits a final repository sanity check.
When tests or CI fail, developers can inspect recent commits and combine that with test and lint results to narrow down the cause.
When taking over a repository or switching context, use it to quickly review git status, recent commits, and basic quality checks.
It gives AI coding assistants repository-level checks: git status, recent commits, tests, and linter runs. It is suited for quick validation in a real repository.
The description says it works on a real repository, so you need an accessible repo environment. Other prerequisites are not provided.
It is focused on repository inspection and validation commands rather than broad code generation. It specifically exposes git status, recent commits, tests, and lint checks.
Use full Git operations through MCP to manage repositories and collaboration.
Gives AI assistants developer tools for files, Git, code analysis, and system tasks.
Run dev checks and get compact error summaries for faster debugging.
Enable AI assistants to analyze, edit, search, and review software projects.
Connect AI assistants to GitHub and GitLab for issue-to-PR automation.
Analyze code structure and Git history while drastically reducing AI token usage.