ls-mcp and mcpdog

ls-mcp
56
Established
mcpdog
49
Emerging
Maintenance 10/25
Adoption 9/25
Maturity 24/25
Community 13/25
Maintenance 6/25
Adoption 5/25
Maturity 24/25
Community 14/25
Stars: 79
Forks: 9
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 14
Forks: 3
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

About ls-mcp

lirantal/ls-mcp

List MCP Server configurations in your system used by AI applications like Cursor, Claude Desktop, VS Code and others

This tool helps developers understand how AI applications like Cursor, Claude Desktop, and VS Code are configured to use 'Model Context Protocol' (MCP) servers in their local environment. It takes your local development setup and various AI application configurations as input, then outputs a clear list of detected MCP servers, their status, and any potential security risks like exposed API keys. Software developers and AI application users who work with these tools will find this useful for managing their AI development environment.

AI development developer tools configuration management IDE integration security auditing

About mcpdog

kinhunt/mcpdog

🐕 Universal MCP Server Manager - Configure once, manage multiple MCP servers through a single interface. Perfect for Claude Desktop, Claude Code, Cursor, Gemini CLI & AI assistants. Web dashboard, auto-detection, unified proxy layer.

Implements a proxy-layer architecture that consolidates multiple MCP servers (GitHub, Memory, Puppeteer, etc.) into a single unified connection, using smart routing to dispatch tool calls to appropriate backends. Supports three transport protocols—stdio, HTTP SSE, and Streamable HTTP—enabling flexible client-server communication across stdio and HTTP-based connections. Features real-time monitoring via web dashboard, automatic protocol detection, fault tolerance for individual server failures, and three deployment modes (local development, Docker, cloud with authentication).

Scores updated daily from GitHub, PyPI, and npm data. How scores work