jgravelle

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

Token-efficient code exploration via tree-sitter AST parsing supporting 25+ programming languages.

Section-level documentation search supporting Markdown, RST, AsciiDoc, Jupyter, HTML, YAML, JSON, and OpenAPI specs.

MCP server for tabular data retrieval that indexes local CSV, Excel, Parquet, and JSONL files once and answers questions via column profiles, filtered rows, ser