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LGTM Dog
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javascript
Language
5 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"shin-usu-lgtm-dog-mcp": {
"command": "node",
"args": [
"/path/to/lgtm-dog-mcp/dist/index.js"
]
}
}
}LGTM Dog MCP serves images of dogs with a bold LGTM overlay, generated on demand by an MCP client. It’s useful for quickly producing consistent, meme-ready visuals without leaving your workflow.
How to use
You can use this MCP server with any MCP client by selecting the LGTM Dog tool and choosing your output options. In particular, look for a tool named generate_lgtm_dog and specify where you want the generated image saved.
How to install
Prerequisites you need before getting started:
- Node.js and npm installed on your machine
Step by step commands
npm install
npm run build
Additional setup notes
To enable Claude Desktop to run this MCP server, add a MCP entry to the Claude Desktop configuration. You will specify how to start the server locally using Node and the built index file.
{
"mcpServers": {
"lgtm-dog": {
"command": "node",
"args": ["/path/to/lgtm-dog-mcp/dist/index.js"]
}
}
}
Restart Claude Desktop
For the changes to take effect, fully exit Claude Desktop and then relaunch it.
Usage examples
In Claude Desktop, choose”Use MCP tool”, select the tool generate_lgtm_dog, and optionally set outputPath to save the image to a specific location. If you omit outputPath, the image will be saved to the current directory.
What this server does
-
Retrieves a random dog image from the Dog CEO API
-
Draws a centered LGTM text in green (#00FF00) with a white outline
-
Adjusts text size automatically based on the image size
Available tools
generate_lgtm_dog
Generates an image by overlaying a green LGTM label at the center of a random dog photo fetched from the Dog CEO API. The text has a white outline for visibility and scales with image size.