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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RAPIDAPI_KEYNoYour RapidAPI key
API_MARKET_KEYNoYour api.market key, used when RAPIDAPI_KEY is not set
HFL_MARKETPLACENoSet to rapidapi or apimarket to choose the marketplace when both keys are set

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": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
lintA

Lint a Dockerfile or Kubernetes manifest. Returns the grade, score, passed and every finding with its line, fix and reference. Give either content or path.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is no possibility of misselection between tools. The single tool's purpose (lint a Dockerfile or Kubernetes manifest) is clearly stated, and its two input modes (`content` vs `path`) are handled as parameters rather than as separate overlapping tools.

Naming Consistency5/5

With a single tool named `lint`, there is no mixed convention to violate; the name is a clear, conventional verb. Consistency is trivially satisfied, though there is no multi-tool pattern to demonstrate predictability.

Tool Count3/5

One tool is on the thin side, but the server's scope is genuinely narrow (static analysis of Dockerfiles and K8s manifests), so a single entry point is defensible. It sits at the borderline of '1-2 tools feels thin' rather than being an extreme mismatch, since the tool itself does substantial work (grade, score, findings, fixes, references).

Completeness3/5

The core linting lifecycle — submit a manifest and get scored findings with fixes and references — is covered for both Dockerfile and Kubernetes inputs. However, obvious adjacent operations are absent: auto-fix/remediation, batch or directory-level linting, and any rule/config discovery, which leaves agents at a dead end once findings are returned.

Maintenance

ActivityMaintained
ResponsivenessNo issues