About devmap
devmap is a CLI that builds a reusable codebase map for developers and AI agents using static analysis, with optional AI interpretation. It generates local navigation files and can answer focused questions about routes, flows, and code impact.
Key features
- 01Static codebase analysis
- 02Maps routes, features, and flows
- 03Reusable project context files
- 04Optional AI interpretation
- 05JSON output for scripts and agents
Use cases
- 01Orient an agent in an unfamiliar repository
- 02Trace routes and key project flows
- 03Check the impact of a code change
MCP support
Runs as a read-only stdio MCP server by default, exposing tools for project overview, maps, flows, routes, impact, search, and analysis. AI-backed explanations require `--allow-ai`.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
7Saved tool list · updated 1d ago
This tool takes no parameters.
Details
From the project READMEDevMap
Analyze once. Reuse context everywhere. A CLI that maps your codebase for developers and AI agents: entry points, critical files, features and routes.
Documentation · Website · GitHub
Every new AI chat about your code starts from zero — you re-explain the same codebase every time. DevMap fixes that.
It's a CLI that combines static analysis with optional AI
interpretation to build a structured, reusable understanding layer
of your project — once. That layer (.devmap/index.json, feature
maps, DEVMAP.md) is what you and any AI agent read afterward,
instead of re-scanning or re-pasting the whole repo. Full repo
source stays local — nothing gets sent wholesale to the AI model.
Install
npm install --global @flaid/devmap
Or run without a global install:
npx @flaid/devmap --help
Requirements
- Node.js 22.12 or newer
- An API key for an AI provider: Groq, OpenRouter, or any custom OpenAI-compatible endpoint
Static analysis still works when AI is not configured.
Quick Start
Run these commands from the root of the project you want to understand:
devmap init
devmap analyze
devmap onboarding
devmap doctor
devmap init selects a provider, validates its key, stores configuration locally, prepares
.devmap/, generates DEVMAP.md, and integrates with AGENTS.md safely.
AI Provider Setup
Choose Groq, OpenRouter, or a custom OpenAI-compatible endpoint with the arrow keys during:
devmap init
Groq keys are available at https://console.groq.com/keys. OpenRouter keys are available at https://openrouter.ai/keys.
For custom endpoints, DevMap asks for the base URL (prefilled with
http://localhost:20128/v1) and lists the models your server exposes, so any
OpenAI-compatible self-hosted gateway works out of the box.
For OpenRouter, DevMap prompts:
OpenRouter model [openrouter/free]:
Press Enter to use the free router, or type any free or paid OpenRouter model ID. The selected model is saved and used as the primary choice.
For non-interactive Groq setup:
GROQ_API_KEY="your-key" devmap init
On PowerShell:
$env:GROQ_API_KEY="your-key"
devmap init
Remove-Item Env:GROQ_API_KEY
For non-interactive OpenRouter setup:
OPENROUTER_API_KEY="your-key" devmap init
The key is stored locally in ~/.devmap/config.json. Requests go directly from
your machine to the selected provider. DevMap does not send the key to a
DevMap-owned server.
Commands
devmap init
devmap analyze
devmap analyze --fresh
devmap map # full project map
devmap map <feature-or-file> # scoped to one feature or file
devmap flow # curated top flows
devmap flow <feature-or-route>
devmap explain <target> # file, feature, or function
devmap onboarding --write
devmap onboarding --write --language id
devmap doctor
devmap config model auto
devmap mcp # run as an MCP server
Groq and OpenRouter use the model selected during init. Change either provider's model with:
devmap config model <model-id>
devmap config model auto
MCP Server
devmap mcp runs DevMap as a Model Context Protocol
server over stdio. An AI agent asks the project map questions with tool calls and
gets structured JSON back, instead of reading a whole context file up front.
devmap analyze
claude mcp add devmap -- npx -y @flaid/devmap mcp
Other clients launch the same command (npx -y @flaid/devmap mcp) as a stdio server:
{
"mcpServers": {
"devmap": {
"command": "npx",
"args": ["-y", "@flaid/devmap", "mcp"]
}
}
}
Tools: devmap_overview, devmap_map, devmap_flow, devmap_routes,
devmap_impact, devmap_find, devmap_analyze and, only with --allow-ai,
devmap_explain.
The server is read-only and static by default: no AI provider is contacted unless
you start it with --allow-ai, and it only writes inside .devmap/ when the agent
calls devmap_analyze or you start it with --auto-refresh. Every answer reports
whether the snapshot is stale. See the
MCP guide for client
setup and tool inputs.
Generated Context
DevMap generates:
.devmap/index.jsonfor lightweight AI-agent navigation.devmap/features/*.jsonfor focused feature maps and source priority.devmap/snapshot.jsonfor the full structured project analysis archiveDEVMAP.mdfor human and AI-agent usage guidance- a small DevMap block in
AGENTS.mdonly after confirmation when the file already exists
Existing AGENTS.md and DEVMAP.md files are never overwritten.
For AI Agents
Read .devmap/index.json first, open the relevant feature map, and inspect its
sourcePriority files. Use .devmap/snapshot.json only when the lightweight
navigation layer is insufficient.
Use --json for scripts, editors, CI, or AI agents:
devmap analyze --json
devmap onboarding --json
devmap doctor --json
JSON mode writes one parseable JSON document to stdout without ANSI colors, terminal decoration, or streamed partial output.
Supported Stacks
- Frontend: Next.js, Astro, SvelteKit, Nuxt, Remix, React Router v7, TanStack Router/Start, Expo Router, SolidStart, Qwik City, Angular, React, Vue, Svelte
- Backend: Express, NestJS, Fastify, Hono, Elysia, Koa, AdonisJS
Detection covers the full list above; Next.js and Express receive the deepest analysis. Multi-package workspaces are classified per project type, so a monorepo containing a CLI and a web app is reported as both.
Privacy
- Project analysis runs locally before AI interpretation.
- Full repository source is not sent to the selected provider.
.envfiles and common generated directories are ignored.- API keys are stored locally and should never be committed.
Links
- Repository: https://github.com/itsflaid/devmap
- Issues: https://github.com/itsflaid/devmap/issues
- Changelog: https://github.com/itsflaid/devmap/blob/main/CHANGELOG.md
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.