GitHub - bntvllnt/codebase-intelligence: CLI-first TypeScript codebase analysis with hotspots, impact, dead-export detection, and architecture metrics. Includes optional MCP server for AI agents.

Quick Start

CLI (recommended)

npx codebase-intelligence overview ./src

Common workflows:

npx codebase-intelligence hotspots ./src --metric complexity --limit 10
npx codebase-intelligence impact ./src parseCodebase
npx codebase-intelligence dead-exports ./src --limit 20
npx codebase-intelligence changes ./src --json

MCP (optional)

claude mcp add -s user -t stdio codebase-intelligence -- npx -y codebase-intelligence@latest .

Table of Contents

• Features
• Installation
• CLI Usage
• Agent Adoption
• MCP Integration (Secondary)
• Metrics
• Architecture
• Requirements
• Limitations
• Release
• Security
• Contributing
• License

Features

• 16 CLI commands for architecture analysis, dependency impact, dead code detection, search, and agent setup
• Machine-readable JSON output (--json) for automation and CI pipelines
• Auto-cached index in .code-visualizer/ for fast repeat queries
• 11 architectural metrics — PageRank, betweenness, coupling, cohesion, tension, churn, complexity, blast radius, dead exports, test coverage, escape velocity
• Symbol-level analysis — callers/callees, symbol importance, impact blast radius
• BM25 search — ranked keyword search across files and symbols
• Process tracing — detect entry points and execution flows through the call graph
• Community detection — Louvain clustering for natural file groupings
• Agent adoption — init writes per-agent instruction files + installs a skill so AI agents query CI before grep/read
• MCP parity (secondary) — same analysis available as 15 MCP tools, 2 prompts, and 3 resources

Installation

Run directly with npx (no install):

npx codebase-intelligence overview ./src

Or install globally:

npm install -g codebase-intelligence
codebase-intelligence overview ./src

CLI Usage

codebase-intelligence <command> <path> [options]

Commands

Useful flags

For full command details, see docs/cli-reference.md.

Agent Adoption

codebase-intelligence has the data — but AI agents only benefit if they actually query it instead of defaulting to grep/read. init closes that gap.

codebase-intelligence init                  # interactive picker (TTY)
codebase-intelligence init --agents claude,cursor
codebase-intelligence init --all --skill    # every agent + global skill
codebase-intelligence init --yes            # non-interactive defaults

Nothing is written unless you choose it. On a terminal, init shows an interactive picker (AGENTS.md + CLAUDE.md preselected); non-interactively it defaults to those two. The global skill is opt-in (--skill). It writes an idempotent, marked instruction block ("query CI before grep/read") into each selected agent's native file:

Writes are idempotent — only content between the <!-- codebase-intelligence:start --> / :end markers is ever touched, so re-running is safe and your own edits are preserved.

Install the skill directly

The skill is also published to the skills.sh registry:

ags install codebase-intelligence
# or
npx skills add github.com/bntvllnt/codebase-intelligence

MCP Integration (Secondary)

Running without a subcommand starts the MCP stdio server (backward compatible):

npx codebase-intelligence ./src

Claude Code (manual)

Add to .mcp.json:

{
  "mcpServers": {
    "codebase-intelligence": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "codebase-intelligence@latest", "./src"],
      "env": {}
    }
  }
}

Cursor / VS Code

Add to .cursor/mcp.json or .vscode/mcp.json:

{
  "servers": {
    "codebase-intelligence": {
      "command": "npx",
      "args": ["-y", "codebase-intelligence@latest", "./src"]
    }
  }
}

For MCP tool details, see docs/mcp-tools.md.

Metrics

Architecture

codebase-intelligence <command> <path>
        |
        v
   +---------+     +---------+     +----------+
   | Parser  | --> | Graph   | --> | Analyzer |
   | TS AST  |     | grapho- |     | metrics  |
   |         |     | logy    |     |          |
   +---------+     +---------+     +----------+
        |
        +--> CLI output (default)
        +--> MCP stdio (optional mode)

1. Parser — extracts files, functions, and imports via TypeScript Compiler API.
2. Graph — builds dependency/call graphs with graphology.
3. Analyzer — computes file/module/symbol metrics.
4. Interfaces — CLI is primary; MCP is available for agent integrations.

Requirements

• Node.js >= 18
• TypeScript codebase (.ts / .tsx files)

Limitations

• TypeScript-focused analysis
• Static analysis only (no runtime tracing)
• Call graph confidence varies by symbol resolution quality

Release

Publishing is automated through GitHub Actions. See CHANGELOG.md for release notes.

Normal CI (before release)

• CI workflow runs on every PR and push to main:
  • lint → typecheck → build → test

Canary publish

• Pushes to main trigger a canary publish.
• The package is published to npm with the canary tag.
• Canary versions are derived from the current package version plus the short commit SHA.

Create a release

1. Bump package.json version in a normal PR.
2. Merge that PR to main.
3. Run the Publish workflow manually from GitHub Actions.
4. The workflow will:
   • verify the tag does not already exist
   • create and push vX.Y.Z
   • publish to npm with provenance via OIDC
   • create a GitHub Release with generated notes

No PAT is required for npm publish. The workflow uses GitHub repository permissions for tagging and OIDC for npm publishing.

Security

Please do not report security vulnerabilities in public issues.

• Read SECURITY.md for supported versions and disclosure guidance.
• Use GitHub Security Advisories or private maintainer contact for sensitive reports.

Contributing

Contributions are welcome.

Start here:

• CONTRIBUTING.md — setup, workflow, testing, and PR expectations
• CODE_OF_CONDUCT.md — community standards
• SECURITY.md — vulnerability reporting

Quick setup:

git clone https://github.com/bntvllnt/codebase-intelligence.git
cd codebase-intelligence
pnpm install
pnpm dev          # tsx watch mode
pnpm test         # vitest
pnpm lint         # eslint
pnpm typecheck    # tsc --noEmit
pnpm build        # production build

License

MIT