Fast Go Binary
A compiled Go binary parses your entire codebase in ~50ms. No Node.js, no Python—just a single fast executable that builds AST-aware code graphs.
Give your AI assistant surgical precision on your codebase—at 70-95% lower token costs.
100% Local. Private. Fast.
Built on MCP (Model Context Protocol) • Works with Claude, Cursor, VS Code & more
Your AI reads entire files. CartoGopher gives it surgical precision instead.
A compiled Go binary parses your entire codebase in ~50ms. No Node.js, no Python—just a single fast executable that builds AST-aware code graphs.
Includes a Model Context Protocol server with 17 semantic query tools. Works natively with Claude Desktop, Cursor, and any MCP-compatible AI.
Trace API calls from React frontend through Express backend to database. The Go binary understands TypeScript, Python, Go, Rust, and 20+ languages.
AI queries specific symbols via MCP instead of reading entire files. Real teams report 85-90% reductions in token usage and API costs.
Like a search engine for your code
Scans your codebase and builds a knowledge graph. Local, automatic, fast. Auto-updates as you code.
Your AI pulls exact matches from the graph via MCP. No bloat, no guesswork. Instant results.
70-95% fewer tokens. Lower costs, no rate limits, never lose context mid-conversation.
AI understands the full call chain of changed functions without reading every dependent file. Reviews become faster and more accurate.
Trace error paths through your codebase. CartoGopher shows AI exactly which functions call which, making root cause analysis efficient.
New team members can ask AI questions about your architecture and get accurate answers based on real code structure, not hallucinations.
Understand the blast radius of changes. See every caller of a function, every implementation of an interface, every dependency.
Instead of feeding entire source files to AI assistants, CartoGopher builds semantic code graphs using AST parsing. AI can then query specific symbols, trace function calls, and understand architecture—using 88% fewer tokens than reading raw files.
CartoGopher works with any MCP-compatible AI assistant including Claude Desktop, Cursor IDE, and other tools that support the Model Context Protocol. The MCP server exposes 17 semantic query tools for deep code understanding.
The Go CLI parses codebases in approximately 50 milliseconds, building complete AST-aware symbol graphs with function call relationships, CRUD classifications, and complexity metrics. There's no waiting or background indexing.
No. The Go CLI runs entirely on your machine and parsing happens locally. The MCP server only communicates with your AI assistant—your source code never leaves your environment.
Set up in under 5 minutes. Works with Claude Desktop, Cursor, and any MCP-compatible AI.
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