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.

Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 94.5% fewer tokens per lookup on average than grep-and

Documentation retrieval for AI agents: fetch the section you need, not the whole doc. Markdown, RST, AsciiDoc, Jupyter, HTML, OpenAPI and more. Runs locally, wo

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