# Lumora **One MCP server. Full codebase intelligence. Complete file operations.** Lumora gives AI coding agents everything they need to understand and modify a codebase — semantic code search, dependency graphs, symbol lookup, file reading, editing, and creation — through a single MCP connection. No cloud. No API keys. Just `cargo install lumora` and go. ## The Problem AI coding agents are powerful, but they're flying blind. They `cat` entire files, `grep` for strings, and hope for the best. The result: bloated context windows, missed connections, and wasted tokens. **Without Lumora**, your agent: - Reads entire files when it only needs 10 lines - Can't tell you what calls a function without scanning every file - Has no concept of dependency paths between modules - Burns tokens on irrelevant code just to find what it needs **With Lumora**, your agent: - Reads exactly the lines it needs with automatic truncation - Finds all callers, references, and definitions through a semantic graph - Traces dependency paths between any two files or symbols - Gets minimal, high-signal context slices — not entire files ## Install ```bash cargo install lumora ``` Requires a C toolchain for tree-sitter and bundled SQLite: - **Linux**: `sudo apt install build-essential` (or equivalent) - **macOS**: `xcode-select --install` - **Windows**: Visual Studio C++ Build Tools ## Quick Start Lumora auto-detects your repository root from the current directory. No `--repo` flag needed. ```bash # Index your codebase (run from anywhere inside the repo) lumora index # Search the graph lumora query symbol main lumora query refs index_repository --order score_desc --limit 50 # Start the MCP server lumora mcp ``` ### MCP Setup Lumora works with any MCP-compatible coding tool. Pick your client below.

Claude Code

```bash Claude MCP add lumora lumora mcp ```

OpenCode

Add to `opencode

Agents

lumora