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Fetch and pack the most relevant GitHub repo files for AI queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ContextPacker MCP Server" yet — see the docs or source repo.
Find the files in this GitHub repository most relevant to user login, JWT validation, and authorization middleware, then pack them within 12,000 tokens and briefly explain why each file is relevant.
A packed set of relevant code files with short relevance notes, ready for AI analysis of the authentication flow.
For the issue 'inventory is not reduced after order submission,' extract the most relevant service, controller, queue, and database operation files from the repository within 15,000 tokens.
A compact set of key files covering the issue path, helping identify likely defect locations quickly.
I need AI to review the cache module design in this repository. Pack the files related to the Redis client, cache wrappers, configuration, and invalidation strategy, prioritizing core implementation within 10,000 tokens.
A minimal, review-ready context package for AI, with irrelevant code filtered out.
Connect AI to live GitHub data for repos, issues, PRs, and contributions.
Bring GitHub repositories into AI context for search, file access, and analysis.
Lets AI call the GitHub API to manage repos, issues, and pull requests.
Connect GitHub issues, PRs, code search, and files to MCP clients.
Explore and analyze remote Git repositories with structured contents and token estimates.
Manage GitHub repositories, pull requests, issues, and workflows with natural language.