1. Conduid
  2. RAG
  3. LGTM
MCP server · RAG

LGTM

by · github.com/dongri/mcp-server-lgtm

Fetch random LGTM (Looks Good To Me) images for use in code reviews and developer communications. Enhance your team's collaboration by easily embedding fun and relevant images in your discussions.

Unclaimed last commit a year ago rag
InstallView source
34Low

Scored 6 months ago · breakdown

About LGTM

LGTM is an MCP server published by dongri in the RAG category: fetch random LGTM (Looks Good To Me) images for use in code reviews and developer communications. Enhance your team's collaboration by easily embedding fun and relevant images in your discussions.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/dongri/mcp-server-lgtm

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (1)

get_lgtmFetch a random LGTM image

Parameters not published.

Ask AI

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Ask AI about LGTM

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I know everything about LGTM. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

MseeP.ai Security Assessment Badge

mcp-server-lgtm MCP Server

smithery badge

A Model Context Protocol server for LGTM images

This is a TypeScript-based MCP server that interacts with the LGTM API. It provides a tool to fetch random LGTM (Looks Good To Me) images that can be used in code reviews and other developer communications.

Features

Create server

npx @modelcontextprotocol/create-server mcp-server-lgtm

Tools

  • get_lgtm - Fetch a random LGTM image
    • Returns markdown code for embedding the image
    • Provides the direct image URL for use in various contexts

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Dev Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-server-lgtm": {
      "command": "/path/to/mcp-server-lgtm/build/index.js"
    }
  }
}

Installing via Smithery

To install mcp-server-lgtm MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @dongri/mcp-server-lgtm --client claude

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Smithery

https://smithery.ai/server/@dongri/mcp-server-lgtm

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About LGTM

How do I install LGTM?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is LGTM safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LGTM still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.