AI Context Inspector

@cocaxcode/ai-context-inspector

One command. Every AI config in your project. Instantly.

CLI + MCP server · 19 tools detected · Export/Import across 7 targets

Quick Start · MCP Server · What It Detects · Features · Tool Reference · Architecture

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The most comprehensive AI ecosystem scanner available. AI Context Inspector discovers every AI configuration file, MCP server, custom skill, agent, and persistent memory in your project — across 19 tools — and gives you the full picture in seconds. Export your entire AI setup and import it into any of 7 supported tools (Claude, Cursor, Windsurf, Copilot, Gemini, Codex, OpenCode) with automatic secret redaction. Zero config. Zero runtime dependencies beyond MCP SDK and Zod. Everything runs locally — your configs and credentials never leave your machine.

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Quick Start

npx -y @cocaxcode/ai-context-inspector@latest

That's it. An HTML dashboard opens with everything your AI tools know about your project.

# Scan a specific directory

npx -y @cocaxcode/ai-context-inspector@latest --dir /path/to/project

Include user-level configs (~/.claude, ~/.gemini, etc.)

npx -y @cocaxcode/ai-context-inspector@latest --user

Live-connect to each MCP server and list its tools

npx -y @cocaxcode/ai-context-inspector@latest --introspect

Output raw JSON instead of HTML

npx -y @cocaxcode/ai-context-inspector@latest --json

All CLI flags

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MCP Server Setup

Run as an MCP server so your AI tools can inspect their own ecosystem.

Claude Code

claude mcp add --scope user ai-context-inspector -- npx -y @cocaxcode/ai-context-inspector@latest --mcp

Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "ai-context-inspector": { "command": "npx", "args": ["-y", "@cocaxcode/ai-context-inspector@latest", "--mcp"] } } }

Cursor / Windsurf / VS Code / Codex CLI

Cursor / Windsurf — add to .cursor/mcp.json or equivalent:

{

"mcpServers": { "ai-context-inspector": { "command": "npx", "args": ["-y", "@cocaxcode/ai-context-inspector@latest", "--mcp"] } } }

VS Code — add to .vscode/mcp.json:

{

"servers": { "ai-context-inspector": { "type": "stdio", "command": "npx", "args": ["-y", "@cocaxcode/ai-context-inspector@latest", "--mcp"] } } }

Codex CLI:

codex mcp add ai-context-inspector -- npx -y @cocaxcode/ai-context-inspector@latest --mcp

Or add directly to any .mcp.json:

{

"mcpServers": { "ai-context-inspector": { "type": "stdio", "command": "npx", "args": ["-y", "@cocaxcode/ai-context-inspector@latest", "--mcp"] } } }

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What It Detects

Tip: Pass --user to also scan user-level configs: ~/.claude/, ~/.gemini/, ~/.codex/, ~/.continue/, ~/.aider.conf.yml, ~/.augment/, ~/.github/agents/, ~/.codeium/, ~/.opencode/, ~/.tabnine/.

Beyond context files, the scanner also detects:

• MCP servers from .mcp.json, ~/.claude.json, .vscode/mcp.json, Claude Desktop config — with optional live introspection
• Custom skills in .claude/skills/ (including symlinks from npx skills add)
• Custom agents in .claude/agents/ with memory detection
• Persistent memories — Claude Memory, agent memory, engram, OpenSpec, ATL

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Features

Scan

npx -y @cocaxcode/ai-context-inspector@latest

npx -y @cocaxcode/ai-context-inspector@latest --user --introspect

Generates a self-contained HTML dashboard with dark/light mode, search, collapsible sections, file previews, and color-coded tool badges. Pass --json for raw output.

Export

# Export your AI ecosystem to .aci/bundle.json

npx -y @cocaxcode/ai-context-inspector@latest export

Export only MCP and context configs, redact secrets

npx -y @cocaxcode/ai-context-inspector@latest export --only mcp,context --secrets none

Export flags

Import

# Import into a Cursor project

npx -y @cocaxcode/ai-context-inspector@latest import --target cursor

Auto-detect tool, skip confirmation, overwrite existing

npx -y @cocaxcode/ai-context-inspector@latest import --yes --force

Import flags

Supported Import Targets

Note: Secrets handling has three modes: none (redact all — safe for sharing), all (include as-is), or interactive (prompt per variable, CLI default). Environment variables in MCP configs are detected automatically.

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MCP Tool Reference

When running as an MCP server (--mcp), five tools are exposed:

scan

Discover the complete AI ecosystem in a project directory.

introspect_mcp

Connect to a specific MCP server and list its tools, resources, and prompts.

*Either command (stdio) or url (http) is required.

generate_report

Generate a standalone HTML dashboard from scan results.

export_ecosystem

Export the complete AI ecosystem to a portable .aci/bundle.json.

import_ecosystem

Import a bundle into a project, adapting configuration to the target tool.

| confirm | boolean | No | Execute import (default: false = dry-run)