ls-mcp

Name: ls-mcp Review
Item: ls-mcp
Rating: 3.0
Author: Aaron Matthews

Connector Setup & Config Usable

Works inClaude Code Claude Cowork Claude Chat

Usable Scanned — metadata only

Provides visibility into fragmented MCP configurations across multiple IDEs and desktop environments.

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

Find all MCP server configurations currently active on your local system
List the specific settings used by Claude Desktop and Cursor applications
Identify which MCP servers are configured for your VS Code environment

84 starsApache-2.0 (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Provides visibility into fragmented MCP configurations across multiple IDEs and desktop environments. This centralizes oversight of the toolsets available to AI agents, reducing configuration drift and troubleshooting overhead.

Best for

DevOps engineers and platform teams managing standardized AI development environments across distributed engineering organizations.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/lirantal/ls-mcp

By lirantal

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add ls-mcp -- npx -y ls-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Help me find all MCP server configurations currently active on my local system

CostFree

Trust Signals Auto-scanned

Stars84Last updated2026-10-27LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Quiet

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 84 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 84 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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