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Stop Guessing.
Start Knowing Your Code.

Give your AI assistant surgical precision on your codebase—at 70-95% lower token costs.

100% Local. Private. Fast.

70-95%
Lower API Costs
No Limits
Avoid Rate Caps
Never
Lose Context

Built on MCP (Model Context Protocol) • Works with Claude, Cursor, VS Code & more

Live Example

Watch It Analyze a Codebase

Claude Code + CartoGopher MCP
> analyze how the trading bot handles orders
mcp - shake (repository overview)
Framework: Go + Gin HTTP | 3,623 LOC | 152 functions | 80 types
mcp - search (symbol: "order")
PlaceOrder:services CancelOrder:services GetOrderStatus:controllers
mcp - related_to (symbol: "PlaceOrder")
Called by: HandleBuyStock, HandleSellStock
Calls: ValidateOrder, AlpacaClient.Submit, LogTransaction
mcp - api_trace (endpoint: "/api/orders")
POST /api/orders → OrderController.Create → OrderService.PlaceOrder → AlpacaAPI
Complete call graph traced in ~2,100 tokens
vs ~42,000 tokens reading all files directly

Why CartoGopher?

Your AI reads entire files. CartoGopher gives it surgical precision instead.

Go

Fast Go Binary

A compiled Go binary—not Node.js or Python. Parses your entire codebase in ~50ms, building AST-aware symbol graphs with call relationships.

MCP

MCP Server Built-In

Includes a Model Context Protocol server with 17 semantic query tools. Works natively with Claude Desktop, Cursor, and any MCP-compatible AI.

→

Cross-Language Tracing

The Go binary understands TypeScript, Python, Go, Rust, and 20+ languages. Trace API calls from frontend to backend to database.

88%

88% Token Savings

AI queries specific symbols via MCP instead of reading entire files. Real teams report 85-90% reductions in API costs.

How It Works

Like a search engine for your code

1

Build the Index

Scans your codebase and builds a knowledge graph. Local, automatic, fast. Auto-updates as you code.

2

Query with Precision

Your AI pulls exact matches from the graph via MCP. No bloat, no guesswork. Instant results.

3

Save Money, Avoid Limits

70-95% fewer tokens. Lower costs, no rate limits, never lose context mid-conversation.

Real Token Savings

Task
Without CartoGopher
With CartoGopher
Understand auth flow
~42,000 tokens
~5,100 tokens
Trace API endpoint
~28,000 tokens
~2,100 tokens
Find all callers
~35,000 tokens
~1,800 tokens
Map CRUD operations
~50,000 tokens
~3,200 tokens

20+ Languages Supported

Go TypeScript JavaScript Python Rust Java C# C++ React Vue Svelte Ruby PHP Swift Kotlin Scala

Frequently Asked Questions

How much can I save on LLM API costs?

Teams typically see 85-90% reduction in token usage. Instead of feeding entire source files to AI, CartoGopher lets AI query specific symbols, trace function calls, and understand architecture semantically.

Does CartoGopher work with Claude and GPT?

Yes. CartoGopher includes an MCP (Model Context Protocol) server that works with Claude Desktop, Cursor IDE, and any MCP-compatible AI assistant. It exposes 17 semantic query tools for deep code understanding.

How does the Go CLI work?

The Go CLI parses your codebase in approximately 50ms, building AST-aware symbol graphs with function call relationships, CRUD classifications, and complexity metrics. No background indexing or waiting required.

Is my code sent to external servers?

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.

Ready to Save Tokens?

Get started with the MCP server in under 5 minutes. Works with Claude Desktop, Cursor, and more.

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