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Glama
0PValencia

image-lab-mcp

by 0PValencia

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_imagesA

Busca en Openverse y/o Wikimedia Commons. Devuelve insertUrl + attribution.

format_attributionB

Arma una línea 'Fuente: …' para pie de figura.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have completely separate functions: one searches for images, the other formats attribution text. There is no overlap or ambiguity between them.

Naming Consistency5/5

Both tool names follow the same verb_noun pattern: 'search_images' and 'format_attribution'. The structure is consistent and intuitive.

Tool Count3/5

With only 2 tools, the server feels minimal. While the tools cover a specific workflow (search and attribute), the count is at the low end, making it borderline but not unreasonable for a narrow purpose.

Completeness3/5

The pair of tools covers a search-and-attribution workflow, but the server name 'image-lab' suggests broader image capabilities that are missing. There are no tools for downloading, processing, or managing images, leaving notable gaps if the server intends to be a full image lab.

Maintenance

ActivitySlowing
ResponsivenessNo issues