Scan codebases for LLM/AI SDK usage, exposed API tokens, and hardcoded secrets.
An MCP server that exposes ai-scanner as tools for AI agents. Works with Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.
| Tool | Description |
|---|---|
scan_directory | Full scan — LLM SDKs, AI frameworks, exposed tokens, and hardcoded secrets with severity levels |
check_secrets | Security check — pass/fail scan for exposed credentials only. Perfect for pre-commit checks |
ai_inventory | AI stack overview — which SDKs, frameworks, models, and API endpoints are used (no secret detection) |
claude mcp add ai-scanner npx ai-scanner-mcp
Add to your claude_desktop_config.json:
{
"mcpServers": {
"ai-scanner": {
"command": "npx",
"args": ["ai-scanner-mcp"]
}
}
}
Config file location:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAdd to .cursor/mcp.json in your project:
{
"mcpServers": {
"ai-scanner": {
"command": "npx",
"args": ["ai-scanner-mcp"]
}
}
}
Add to ~/.windsurf/mcp.json:
{
"mcpServers": {
"ai-scanner": {
"command": "npx",
"args": ["ai-scanner-mcp"]
}
}
}
Once connected, you can ask your AI agent:
Full scan with all detection categories. Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
directory | string | required | Path to scan |
ai_only | boolean | false | Skip generic secrets (Stripe, GitHub, etc.) |
scan_env | boolean | false | Include .env files |
include_endpoints | boolean | true | Detect LLM API endpoint URLs |
include_models | boolean | true | Detect model name references |
Security-focused pass/fail check. Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
directory | string | required | Path to scan |
ai_only | boolean | false | Only check AI tokens |
scan_env | boolean | false | Include .env files |
AI stack awareness (no secret detection). Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
directory | string | required | Path to scan |
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y ai-scanner-mcpMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-aakashbhardwaj27-ai-scanner": {
"command": "npx",
"args": [
"-y",
"ai-scanner-mcp"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referenceai-scanner-mcpnpmAI Scanner works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.