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Glama
m-mcp

Flux Schnell Server

by m-mcp

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
image_generationC
Generate an image from a prompt.
Args:
    prompt (str): 生成图片的提示词
    image_size (int, optional): 生成图片的大小. Defaults to 512.
Returns:
    str: 生成的图片的base64编码

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'image_generation' has a clear, distinct purpose that cannot be confused with any other tool in this server.

Naming Consistency5/5

The single tool name 'image_generation' follows a clear noun_verb pattern. With only one tool, there is no inconsistency to evaluate, and the naming convention is straightforward and appropriate for its function.

Tool Count2/5

A single tool for an image generation server feels thin and limited in scope. While it covers the core functionality, typical image generation servers might include additional tools for variations, editing, or different models. This minimal set may restrict agent capabilities.

Completeness3/5

The server provides basic image generation, but lacks tools for related operations like image editing, style transfer, or batch processing. The surface is functional but incomplete for a comprehensive image generation domain, potentially causing agent workarounds.

Maintenance

ActivityInactive
ResponsivenessNo issues