ai-context-inspector

ai-context-inspector

Scans projects to discover all AI configuration files, MCP servers, agents, and memories across 19 tools, enabling export and import of the entire AI ecosystem.

Category
访问服务器

README

<p align="center"> <h1 align="center">@cocaxcode/ai-context-inspector</h1> <p align="center"> <strong>One command. Every AI config in your project. Instantly.</strong><br/> CLI + MCP server · 19 tools detected · Export/Import across 7 targets </p> </p>

<p align="center"> <a href="https://www.npmjs.com/package/@cocaxcode/ai-context-inspector"><img src="https://img.shields.io/npm/v/@cocaxcode/ai-context-inspector.svg?style=flat-square&color=cb3837" alt="npm version" /></a> <a href="https://www.npmjs.com/package/@cocaxcode/ai-context-inspector"><img src="https://img.shields.io/npm/dm/@cocaxcode/ai-context-inspector.svg?style=flat-square" alt="npm downloads" /></a> <a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square" alt="License" /></a> <img src="https://img.shields.io/badge/node-%3E%3D20-339933?style=flat-square&logo=node.js&logoColor=white" alt="Node" /> <img src="https://img.shields.io/badge/AI%20tools-19%20supported-blueviolet?style=flat-square" alt="19 AI tools" /> </p>

<p align="center"> <a href="#quick-start">Quick Start</a> · <a href="#mcp-server-setup">MCP Server</a> · <a href="#what-it-detects">What It Detects</a> · <a href="#features">Features</a> · <a href="#mcp-tool-reference">Tool Reference</a> · <a href="#architecture">Architecture</a> </p>


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.


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

<details> <summary>All CLI flags</summary>

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

</details>


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"]
    }
  }
}

<details> <summary>Cursor / Windsurf / VS Code / Codex CLI</summary>

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

</details>

Or add directly to any .mcp.json:

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

What It Detects

Tool Context Files What's Found
Claude Code CLAUDE.md, .claude/, .mcp.json Instructions, MCP config, skills, agents, memory
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 Config, rules
OpenAI Codex AGENTS.md, AGENT.md, .codex/ Agent instructions
OpenCode OPENCODE.md, .opencode/, opencode.json CLI config
Aider .aider.conf.yml, .aiderignore Config, model settings
Cline .clinerules, .clineignore Rules (file or directory)
Roo Code .roo/rules/, .roorules, .rooignore Rules
Continue.dev .continuerules, .continue/config.yaml Rules, config
Amazon Q .amazonq/rules/ Developer rules
Augment .augment/rules/, .augment-guidelines Code rules
Replit .replit.md Agent instructions
Firebase Studio .idx/airules.md AI rules
VS Code .vscode/mcp.json MCP configuration
Tabnine .tabnine.yaml AI config
Sourcegraph .sourcegraph/ Cody config
Universal CONVENTIONS.md Multi-tool conventions

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

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

<details> <summary>Export flags</summary>

Flag Description Default
--dir <path> Directory to export .
--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) or all (include) interactive

</details>

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

<details> <summary>Import flags</summary>

Flag Description Default
[file] Path to bundle JSON auto-detect .aci/bundle.json
--dir <path> Target directory .
--target <tool> Target tool (see table) 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

</details>

Supported Import Targets

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/ -- --

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.


MCP Tool Reference

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

scan

Discover the complete AI ecosystem in a project directory.

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)

introspect_mcp

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

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.

generate_report

Generate a standalone HTML dashboard from scan results.

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)

export_ecosystem

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

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"]

import_ecosystem

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

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): claude, cursor, windsurf, copilot, gemini, codex, opencode
scope string No project or user
force boolean No Overwrite existing resources
confirm boolean No Execute import (default: false = dry-run)
only string[] No Categories to import
secrets string No "none", "all", ["VAR1"], or {"VAR1": "value"}

Warning: import_ecosystem defaults to dry-run mode (confirm: false). Set confirm: true to actually write files.


Architecture

src/
├── index.ts              # Entry: CLI vs MCP mode routing
├── cli.ts                # CLI arg parsing + orchestration
├── server.ts             # createServer() MCP factory
├── scanner/              # 6 parallel scanners (Promise.all)
│   ├── catalog.ts        # AI_FILE_CATALOG — 50+ entries, 19 tools
│   ├── context-files.ts  # Scan .md, rules, configs
│   ├── mcp-configs.ts    # Parse .mcp.json, ~/.claude.json, etc.
│   ├── mcp-introspect.ts # Connect to servers, list tools/resources
│   ├── skills.ts         # Skills + symlinks + frontmatter
│   ├── agents.ts         # Agents + memory detection
│   └── memories.ts       # engram, openspec, .atl, claude memory
├── ecosystem/            # Export/import engine
│   ├── export.ts         # Scan → bundle → .aci/bundle.json
│   ├── import.ts         # Load → plan → execute
│   ├── target-map.ts     # Path configs for 7 AI tools
│   ├── detect-target.ts  # Auto-detect tool in project
│   └── secrets.ts        # Env var detection + redaction
├── report/               # HTML dashboard generator
│   ├── generator.ts      # generateHtml(ScanResult) → string
│   ├── sections.ts       # Section renderers
│   ├── styles.ts         # CSS (dark/light)
│   └── scripts.ts        # JS (collapse, search, preview)
└── tools/                # 5 MCP tool handlers
    ├── scan.ts
    ├── introspect.ts
    ├── report.ts
    ├── export.ts
    └── import.ts

Stack: TypeScript 5 (strict, ESM) / MCP SDK / Zod / tsup / Vitest


MIT · Built by cocaxcode

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选