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4 MCPs · 0 installs total
A token-efficient MCP server for exploring GitHub repositories using tree-sitter AST parsing to extract symbol signatures and summaries. It enables users to sea
Lets AI agents navigate documentation by section instead of reading files by brute force, reducing token usage and improving precision.
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code,
The leading, most token-efficient MCP server for documentation exploration and retrieval via structured section indexing