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Glama

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
link_healthB

Health check for link MCP server runtime.

analyze_link_for_frontendC

Analyze a public link (like Axure) for frontend development. Returns a screenshot and a frontend-focused markdown analysis.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 2 tools

Disambiguation5/5

The two tools serve entirely different purposes: one is a runtime health check and the other performs link analysis. There is no overlap or ambiguity in what each tool does.

Naming Consistency3/5

Both names use snake_case, but they follow different grammatical patterns: 'link_health' is a noun phrase with a prefix, while 'analyze_link_for_frontend' is a verb phrase with a preposition. The inconsistency is noticeable but still readable.

Tool Count3/5

Two tools is thin for a server, especially since only one provides the core functionality. The health check is useful but meta, leaving a very narrow actionable surface.

Completeness3/5

For a link analysis server, the single analyze tool covers the primary use case, but there are no operations for listing past analyses, batch processing, or validating links. The surface feels incomplete for broader link-related workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues