Structural Code Intelligence for AI Agents — MCP Server + Knowledge Graph + Semantic Search
Give your AI assistant a brain for your codebase. Octocode transforms your project into a navigable knowledge graph that Claude, Cursor, and other AI agents can search, understand, and navigate.
🚀 Quick Start • 🤖 MCP Integration • 📖 Documentation • 🌐 Website
🤖 Built for AI Agents
The Problem: AI assistants are blind to your codebase. They can't search your files, understand dependencies, or remember context across sessions.
The Solution: Octocode's MCP server gives AI agents:
- 🔍 Semantic search — Find code by meaning, not keywords
- 🕸️ Knowledge graph — Navigate imports, calls, and dependencies
- 📝 Code signatures — View structure without reading entire files
- 🧭 LSP precision — Go-to-definition, find-references, and hover docs via your language server
Works with: Claude Desktop • Cursor • Windsurf • Any MCP-compatible AI
Now your AI assistant can:
You: "Where is authentication handled?"
AI: *searches your codebase* "Authentication is in src/middleware/auth.rs,
which imports jwt.rs for token validation and calls user_store.rs for lookup."
You: "What files depend on the payment module?"
AI: *queries knowledge graph* "src/api/handlers/payment.rs imports payment/mod.rs,
which is also used by src/workers/refund.rs and src/cron/billing.rs"
You: "Find every call site of this function"
AI: *uses LSP find-references* "process_payment() is called from 4 places:
checkout.rs:87, refund.rs:134, billing.rs:56, and tests/payment_test.rs:23"
