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Automate GitHub issue fixing, testing, PR creation, and production promotion.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-ashigaru" yet — see the docs or source repo.
After connecting the GitHub repository, fetch all open issues labeled bug, fix them one by one in a sandbox, run tests, and create a PR for each fix that passes.
A list of processed issues, fix summaries, test results, and corresponding PR links.
Fetch the requirements from GitHub issue #128, implement them in an isolated environment, add necessary tests, create a PR, and summarize changes and risks for human review.
Review-ready code changes, test results, a PR link, and a risk summary.
For a PR that has passed human review and been merged, execute the release flow: verify test status, prepare release notes, promote the changes to production, and log the full process.
Production deployment status, release notes, execution logs, and any exception alerts.
Manage GitHub repositories, branches, pull requests, and commits through an MCP server.
Manage GitHub repositories, issues, and pull requests through MCP or REST.
Manage GitHub repositories, pull requests, issues, and workflows with natural language.
Help AI agents navigate, search, and understand codebases and change history.
Connect GitHub repos so AI can analyze and build from real code.
Create GitHub repositories quickly through MCP to start projects and collaboration.