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Helps teams triage GitHub issues using similarity retrieval and component classification.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "triage-mcp" yet — see the docs or source repo.
Please analyze this GitHub issue, retrieve historically similar reported issues, and provide a likely component classification and triage suggestion: 'The page keeps loading after form submission, and the console occasionally shows a 500 error.'
Returns a list of similar historical issues, likely related components, and brief triage recommendations.
Based on historical issue data, determine which component this issue most likely belongs to and explain why: 'On mobile, the notification toggle shows the wrong state on the settings page.'
Outputs the most likely component classification and explains the reasoning using similar past cases.
Please perform an initial triage for this GitHub issue: find similar known issues, identify the involved component, and summarize next review clues for maintainers: 'The API responds normally, but dashboard charts do not display data.'
Provides similar issues, a component classification result, and key follow-up clues for maintainers.
Open-source maintainers can use it to retrieve historically similar GitHub issues and identify the relevant component when many reports arrive. This reduces manual first-pass triage and helps route issues to the right owner faster.
When engineering teams handle new defect reports, they can use historical data to classify components more consistently. It can also help identify duplicate or closely related issues earlier.
It is an MCP tool that helps LLMs triage GitHub issues. Its stated capabilities include retrieving similar historical issues and classifying components using historical data.
From the description, it relies on GitHub issues and historical data for similarity retrieval and classification. For exact data sources, configuration, or permission requirements, see the source repository.
The provided material does not include installation or integration steps. For deployment method, runtime, and configuration details, see the source repository.
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