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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
{}
logging
{}
prompts
{}
resources
{}
completions
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
specrun_batchC

Run any SpecRun tool in batch with multiple inputs

Prompts

Interactive templates invoked by user choice

NameDescription
list_apisList loaded APIs/tools and ask the user to choose an endpoint.
generate_api_callCollect required inputs for a tool and provide a ready-to-run JSON payload.
explain_api_schemaExplain tool parameters and request body schema.
generate_random_dataGenerate random, ready-to-run JSON payload samples for a tool.

Resources

Contextual data attached and managed by the client

NameDescription
SpecRun ResponsesSpecRun response resources

TDQS

C2.8/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is no ambiguity in tool selection.

Naming Consistency5/5

The single tool name follows snake_case and verb_noun convention consistently.

Tool Count3/5

With only one tool, the server feels thin for its apparent scope, though the batch tool can handle multiple inputs.

Completeness2/5

The server lacks individual tools for different SpecRun operations, making it incomplete for fine-grained control.

Maintenance

ActivityInactive
ResponsivenessNo issues