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devmap

devmap

Local
github.com/itsflaidDeveloper Tools11Updated 1d ago

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

  1. 01Static codebase analysis
  2. 02Maps routes, features, and flows
  3. 03Reusable project context files
  4. 04Optional AI interpretation
  5. 05JSON output for scripts and agents

Use cases

  1. 01Orient an agent in an unfamiliar repository
  2. 02Trace routes and key project flows
  3. 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.

mcp.json · Universal config
{
"mcpServers": {
"itsflaid-devmap": {
"command": "npx",
"args": [
"-y",
"@flaid/devmap"
]
}
}
}
Run commandnpx -y @flaid/devmap

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@flaid/devmap0.9.0

Tools

7

Saved tool list · updated 1d ago

This tool takes no parameters.

Details

From the project README

DevMap

npm version license node

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.json for lightweight AI-agent navigation
  • .devmap/features/*.json for focused feature maps and source priority
  • .devmap/snapshot.json for the full structured project analysis archive
  • DEVMAP.md for human and AI-agent usage guidance
  • a small DevMap block in AGENTS.md only 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.
  • .env files and common generated directories are ignored.
  • API keys are stored locally and should never be committed.

Links

License

MIT

Comments

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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.