@cocaxcode/ai-context-inspector

@cocaxcode/ai-context-inspector

See everything your AI tools know about your project.
19 AI tools · 6 scanners · 5 MCP tools · Export/Import across 7 tools · CLI + MCP server

The Problem · The Solution · Installation · CLI Usage · Export/Import · MCP Server · What It Detects · HTML Dashboard · Architecture

The Problem

Your project has AI configuration scattered everywhere:

• CLAUDE.md with project instructions, .cursorrules with coding rules, AGENTS.md with universal guidelines
• MCP servers configured in .mcp.json, ~/.claude.json, .vscode/mcp.json — each with different tools
• Custom skills installed via npx skills add, custom agents in ~/.claude/agents/
• Persistent memories in engram, Claude memory files, agent-specific memory stores
• You don't know the full picture. Each tool sees only its own slice.

The Solution

AI Context Inspector scans your entire AI ecosystem in one shot:

npx @cocaxcode/ai-context-inspector

It discovers every AI configuration file, MCP server (with live introspection), installed skill, custom agent, and persistent memory — then generates a beautiful HTML dashboard or exposes the data as an MCP server for your AI tools to consume.

Zero config. Zero dependencies. Just run it.

Installation

CLI (one-shot, no install)

npx @cocaxcode/ai-context-inspector

Claude Code (MCP server)

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

Or add to your .mcp.json:

{
  "mcpServers": {
    "ai-context-inspector": {
      "type": "stdio",
      "command": "npx",
      "args": ["-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

Add to .cursor/mcp.json or equivalent:

{
  "mcpServers": {
    "ai-context-inspector": {
      "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

VS Code

Add to .vscode/mcp.json:

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

CLI Usage

# Scan current directory → generates HTML report
npx @cocaxcode/ai-context-inspector

# Scan a specific directory
npx @cocaxcode/ai-context-inspector --dir /path/to/project

# Include user-level configs (~/.claude, ~/.gemini, etc.)
npx @cocaxcode/ai-context-inspector --user

# Enable live MCP server introspection (connects to each server)
npx @cocaxcode/ai-context-inspector --introspect

# Set introspection timeout (default: 10000ms)
npx @cocaxcode/ai-context-inspector --introspect --timeout 15000

# Output raw JSON instead of HTML
npx @cocaxcode/ai-context-inspector --json

# Run as MCP server (for AI tool integration)
npx @cocaxcode/ai-context-inspector --mcp

# All flags combined
npx @cocaxcode/ai-context-inspector --dir ./my-project --user --introspect --timeout 15000

CLI Flags Reference

Flag	Description	Default
--dir <path>	Directory to scan	. (current)
--user	Include user-level configs (~/)	false
--introspect	Connect to MCP servers and list tools	false
--timeout <ms>	Introspection timeout per server	10000
--json	Output JSON instead of HTML	false
--mcp	Run as MCP server (stdio transport)	false

Export/Import

Move your AI configuration between tools. Export from one project, import into another — or the same project with a different AI tool.

Quick Start

# Export your AI ecosystem to .aci/bundle.json
npx @cocaxcode/ai-context-inspector export

# Import into a project using Cursor
npx @cocaxcode/ai-context-inspector import --target cursor

# Non-interactive export (all categories, no secrets)
npx @cocaxcode/ai-context-inspector export --only mcp,context --secrets none

# Non-interactive import (auto-detect tool, skip confirmation)
npx @cocaxcode/ai-context-inspector import --yes --force

Export Flags

Flag	Description	Default
--dir <path>	Directory to export	. (current)
--output <path>	Output directory	.aci/
--include-user	Include user-level configs (~/)	false
--only <categories>	Filter: mcp,skills,agents,memories,context	all
--secrets <mode>	none (redact all) or all (include all)	interactive

Import Flags

Flag	Description	Default
[file]	Path to bundle JSON	auto-detect .aci/bundle.json
--dir <path>	Target directory	. (current)
--target <tool>	Target tool (see table below)	auto-detect
--scope <scope>	project or user	per-resource
--force	Overwrite existing resources	false
--yes	Skip confirmation prompt	false
--only <categories>	Filter: mcp,skills,agents,memories,context	all
--secrets <mode>	none or all	interactive

Supported Target Tools

Target	MCP Config	Context File	Rules Dir	Skills	Agents
claude	.mcp.json	CLAUDE.md	—	.claude/skills/	.claude/agents/
cursor	.cursor/mcp.json	.cursorrules	.cursor/rules/	—	—
windsurf	.mcp.json	.windsurfrules	.windsurf/rules/	—	—
copilot	.vscode/mcp.json	.github/copilot-instructions.md	.github/instructions/	—	.github/agents/
gemini	.gemini/settings.json	GEMINI.md	.gemini/rules/	—	—
codex	.mcp.json	AGENTS.md	.codex/rules/	—	—
opencode	opencode.json	OPENCODE.md	.opencode/rules/	—	—

The .aci/ Directory

Export creates .aci/bundle.json — a self-contained, checksummed JSON bundle with all your AI resources. It is automatically added to .gitignore. Import auto-detects this directory when no file path is specified.

Secrets Handling

Environment variables in MCP server configs (API keys, tokens, passwords) are detected automatically. Three modes:

• none — redact all sensitive values (safe for sharing)
• all — include all values as-is
• interactive (default in CLI) — prompt per variable

MCP Server

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

scan

Scan a project directory to discover its complete AI ecosystem.

Parameters:

Parameter	Type	Required	Description
directory	string	No	Path to scan (default: cwd)
include_user	boolean	No	Include user-level configs
introspect	boolean	No	Live-connect to MCP servers
timeout	number	No	Introspection timeout (ms)

Example prompt: "Scan this project and tell me what AI tools are configured"

introspect_mcp

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

Parameters:

Parameter	Type	Required	Description
command	string	Yes*	Command to launch the server
args	string[]	No	Arguments for the command
env	object	No	Environment variables
url	string	Yes*	URL for HTTP/SSE servers
transport	string	No	stdio (default) or http
timeout	number	No	Connection timeout (ms)

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

Example prompt: "Introspect the MCP server at npx @anthropic/mcp-server-memory"

generate_report

Generate a standalone HTML dashboard from scan results.

Parameters:

Parameter	Type	Required	Description
directory	string	No	Path to scan
include_user	boolean	No	Include user-level configs
introspect	boolean	No	Introspect MCP servers
timeout	number	No	Introspection timeout (ms)

Example prompt: "Generate an HTML report of my project's AI context"

export_ecosystem

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

Parameters:

Parameter	Type	Required	Description
dir	string	No	Directory to scan (default: cwd)
include_user	boolean	No	Include user-level configs
only	string[]	No	Categories: mcp, skills, agents, memories, context
secrets	string	No	"none" (default), "all", or ["VAR1", "VAR2"] to include specific vars

Example prompt: "Export my AI ecosystem without secrets"

import_ecosystem

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

Parameters:

Parameter	Type	Required	Description
file	string	No	Path to bundle (auto-detects .aci/bundle.json)
dir	string	No	Target directory (default: cwd)
target	string	No	Target tool (auto-detects). One of: claude, cursor, windsurf, copilot, gemini, codex, opencode
scope	string	No	project or user
force	boolean	No	Overwrite existing resources
confirm	boolean	No	Execute import (false = dry-run plan only)
only	string[]	No	Categories to import
secrets	string	No	"none", "all", ["VAR1"], or {"VAR1": "value"}

Example prompt: "Import the AI bundle into this project for Cursor"

What It Detects

19 AI Coding Tools

Tool	Context Files	Description
Claude Code	CLAUDE.md, .claude/, .mcp.json	Project instructions + MCP config
Cursor	.cursorrules, .cursor/rules/, .cursorignore	Rules + ignore patterns
Windsurf	.windsurfrules, .windsurf/rules/	Codeium/Windsurf rules
GitHub Copilot	.github/copilot-instructions.md, .github/agents/	Instructions + custom agents
Gemini CLI	GEMINI.md, .gemini/, .geminiignore	Google Gemini config
OpenAI Codex	AGENTS.md, AGENT.md, .codex/	Universal agent instructions
OpenCode	OPENCODE.md, .opencode/, opencode.json	OpenCode CLI config
Aider	.aider.conf.yml, .aiderignore	Aider config + model settings
Cline	.clinerules, .clineignore	Cline rules (file or directory)
Roo Code	.roo/rules/, .roorules, .rooignore	Roo Code rules
Continue.dev	.continuerules, .continue/config.yaml	Continue rules + config
Amazon Q	.amazonq/rules/	Amazon Q Developer rules
Augment	.augment/rules/, .augment-guidelines	Augment Code rules
Replit	.replit.md	Replit Agent instructions
Firebase Studio	.idx/airules.md	Firebase Studio AI rules
VS Code	.vscode/mcp.json	VS Code MCP configuration
Tabnine	.tabnine.yaml	Tabnine AI config
Sourcegraph	.sourcegraph/	Sourcegraph Cody config
Universal	CONVENTIONS.md	Multi-tool conventions

Plus user-level configs (~/.claude/, ~/.gemini/, ~/.codex/, ~/.continue/, ~/.aider.conf.yml, ~/.augment/, ~/.github/agents/, ~/.codeium/, ~/.opencode/, ~/.tabnine/).

MCP Servers

• Discovers servers from .mcp.json, ~/.claude.json, .vscode/mcp.json, Claude Desktop config
• Groups by source: project, user, VS Code, desktop
• Live introspection: connects to each server, lists tools/resources/prompts with descriptions
• Shows transport type (stdio/http/sse), command, args, environment variables

Custom Skills

• Scans .claude/skills/ (project) and ~/.claude/skills/ (user)
• Follows symlinks (installed via npx skills add)
• Parses YAML frontmatter for name, description, triggers
• Falls back to ## Purpose section parsing

Custom Agents

• Scans .claude/agents/ (project) and ~/.claude/agents/ (user)
• Parses YAML frontmatter for name, description, model
• Detects if agent has persistent memory (via ~/.claude/agent-memory/)

Persistent Memories

• Claude Memory: ~/.claude/projects/*/memory/MEMORY.md with preview
• Agent Memory: ~/.claude/agent-memory/ files and directories
• Engram: detected as MCP server or Claude Code plugin
• OpenSpec: openspec/ directory with specs and changes count
• ATL: .atl/ directory with file count

HTML Dashboard

The CLI generates a self-contained HTML file (no external dependencies) with:

• Dark/light mode — auto-detects system preference
• Summary badges — total MCPs, tools, files, skills, agents, memories at a glance
• Collapsible sections — expand/collapse each category
• Search — filter across all sections in real-time
• File previews — inline preview of context file contents
• MCP tool details — full tool listings with descriptions and input schemas
• Tool badges — color-coded by AI tool (Claude, Cursor, Copilot, etc.)

Architecture

src/
├── index.ts              # Entry: CLI vs MCP mode routing
├── cli.ts                # CLI arg parsing + orchestration (scan, export, import)
├── server.ts             # createServer() MCP factory
├── scanner/              # Discovery engine
│   ├── types.ts          # All TypeScript interfaces
│   ├── catalog.ts        # AI_FILE_CATALOG (50+ entries, 19 tools)
│   ├── index.ts          # runAllScanners() orchestrator
│   ├── context-files.ts  # Scan context files (.md, rules, configs)
│   ├── mcp-configs.ts    # Parse .mcp.json, ~/.claude.json, etc.
│   ├── mcp-introspect.ts # Connect to MCP servers, list tools/resources
│   ├── skills.ts         # Scan skill directories + parse frontmatter
│   ├── agents.ts         # Scan agent directories + detect memory
│   └── memories.ts       # Detect engram, openspec, .atl, claude memory
├── ecosystem/            # Export/import engine
│   ├── types.ts          # Bundle format, import targets, options
│   ├── index.ts          # Public API re-exports
│   ├── export.ts         # Scan → bundle → .aci/bundle.json
│   ├── import.ts         # Load bundle → plan → execute
│   ├── target-map.ts     # Path configs for 7 AI tools
│   ├── detect-target.ts  # Auto-detect AI tool in project
│   ├── secrets.ts        # Env var detection + sensitive patterns
│   └── prompts.ts        # Interactive CLI prompts
├── report/
│   ├── generator.ts      # generateHtml(ScanResult) → string
│   ├── sections.ts       # HTML section renderers
│   ├── styles.ts         # CSS (dark/light mode)
│   └── scripts.ts        # JS (collapse, search, preview)
├── tools/
│   ├── scan.ts           # MCP tool: scan project
│   ├── introspect.ts     # MCP tool: introspect specific MCP
│   ├── report.ts         # MCP tool: generate HTML report
│   ├── export.ts         # MCP tool: export_ecosystem
│   └── import.ts         # MCP tool: import_ecosystem
└── __tests__/
    ├── fixtures/          # Test projects (full, empty, mcp-only, export-project)
    ├── helpers.ts         # fixture() path helper
    └── *.test.ts          # 10 test files, 104 tests

6 Parallel Scanners

Scanner	Detects	Sources
context-files	Config files for 19 AI tools	Project + user dirs
mcp-configs	MCP server definitions	.mcp.json, ~/.claude.json, VS Code, Desktop
mcp-introspect	Live tool/resource/prompt listings	stdio/http connections
skills	Custom Claude Code skills	.claude/skills/ + symlinks
agents	Custom Claude Code agents	.claude/agents/ + memory detection
memories	Persistent memory systems	engram, openspec, .atl, claude memory

All scanners run in parallel via Promise.all() for maximum speed.

Stack

• TypeScript 5.x — strict mode, ESM
• @modelcontextprotocol/sdk — MCP client + server
• Zod — schema validation for MCP tool inputs
• tsup — build (ESM output with shebang)
• Vitest — testing (104 tests)

Zero runtime dependencies beyond MCP SDK and Zod.

Contributing

git clone https://github.com/cocaxcode/ai-context-inspector.git
cd ai-context-inspector
npm install
npm test          # Run all tests
npm run build     # Build with tsup
npm run typecheck # TypeScript check
npm run lint      # ESLint

License

MIT © cocaxcode