dekko
About
fast, offline, dependency-free static code map generator and codebase indexer for LLM coding agents.
Details
- Author
- aahlijia
- Categories
- Developer Tools, AI
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Setup
Install dekko in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/aahlijia/dekko
Follow the installation instructions in the repository README, then restart your MCP client.
dekkois a fast, offline, dependency-freestatic code map generatorandcodebase indexer for LLM coding agents. It scans a repository withtree-sitter(no model tokens spent parsing) and writes:
- MAP.md— a human-readable map: a per-directory overview, an embedded architecture diagram, load-bearing/orchestrator rankings, then every file's functions/methods with signatures, doc lines, and who calls and is called by whom.
- map.json— the same graph in machine-readable form.
On top of the map, dekko gives an agent a token-cheap way to answer questions like "what does this file contain," "who calls this function," and "what do I need to safely change this" — without reading whole files. It ships as aCLI, aClaude Code/mapplugin + MCP server(Model Context Protocol), and works withClinetoo.
Most agent workflows gather context by reading whole files or grepping across a repo — expensive, and it throws away structure (who calls what, what a function's fan-in/fan-out looks like). dekko instead parses the repo once into a call graph and answers targeted questions against it. Measured across 7 real, unmodified open-source repos (Go, TypeScript, Java, Rust, Python/C++ — up to 14k files), dekko's structured queries used3x–200x fewer tokensthan the equivalentRead/Grepworkflow for the same task (repo orientation, outlining a large file, tracing a symbol's callers/callees).
dekko's cost stays roughly flat per query whileRead/Grepscales with file/repo size, so the ratio grows with scale. The win isn't universal — small, self-contained files and already-grep-friendly local symbols see little to no benefit, and a few cases in the raw data are void because the cheap answer was also an incomplete one. Seebenchmarks/real-world-repos/for the full per-task breakdown, methodology, and correctness caveats.
Compared to tag-index tools likectags/gtags, dekko resolves actual call edges (not just definitions), ranks files by load-bearing-ness, and speaks directly to agents over MCP or the CLI — no editor plugin required.
uv tool install dekko # or: pip install dekko / pipx install dekko dekko --claude-install # add the /map command + MCP server to Claude Code, then restart
Extras (dekko[all]for ~55 more languages,dekko[search]for embedding search), installing from a local clone, and uninstalling are indocs/install.md.
cd my-project dekko map # writes .dekko/MAP.md + .dekko/map.json dekko summary # ~40-line digest: dirs, hotspots, entry points
.dekko/is git-ignored by default; the map regenerates on demand, so you rarely need to rundekko mapagain by hand.
- docs/install.md— installation, extras, local clone, uninstall
- docs/cli.md— every CLI command, symbol targets, excluding files, notes, daemon mode, language support
- docs/claude-code.md— the/mapplugin, push hooks, Claude Code skills, the MCP server, and Cline
- CHANGELOG.md— per-version history
- CONTRIBUTING.md— dev setup, testing, releasing
- benchmarks/— token-efficiency measurements, including a 7-repo real-world comparison against a plain Read/Grep workflow
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