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Glama

MCP Image Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
fetch_images
Fetch and process images from URLs or local file paths, returning them in a format suitable for LLMs. This tool accepts a list of image sources which can be either: 1. URLs pointing to web-hosted images (http:// or https://) 2. Local file paths pointing to images stored on the local filesystem (e.g., "C:/images/photo1.jpg") For a single image, provide a one-element list. The function will process images in parallel when multiple sources are provided. Images that exceed the size limit (1MB) will be automatically compressed while maintaining aspect ratio and reasonable quality. Args: image_sources: A list of image URLs or local file paths. For a single image, provide a one-element list. Returns: A list of Image objects or None values (if processing failed) in the same order as the input sources.

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/IA-Programming/mcp-images'

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