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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
PORTNoThe port to run the MCP server on when using Streamable HTTP transport. Both Python services read PORT from the environment.

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
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
scan_terraform_fileA

Scan Terraform (.tf) file content for security misconfigurations using Checkov and return structured findings.

Each finding includes the Checkov check ID, a human-readable title, the affected resource, its line range in the file, and the offending code snippet. Use this whenever the user asks to review, audit, or check the security of Terraform code.

Args: file_content: the raw text of a .tf file filename: original filename, used only for a friendlier label in output

scan_dockerfile_fileA

Scan Dockerfile content for security misconfigurations using Checkov and return structured findings, in the same shape as scan_terraform_file (check ID, title, resource, line range, code snippet). Use this whenever the user asks to review, audit, or check the security of a Dockerfile.

Args: file_content: the raw text of a Dockerfile filename: original filename, used only for a friendlier label in output

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.4/5.0

Scored across 2 tools

Disambiguation5/5

The two tools are cleanly separated by file type: one handles Terraform files and the other handles Dockerfiles. There is no functional overlap or realistic risk of selecting the wrong tool.

Naming Consistency5/5

Both tools follow the same scan_<format>_file pattern, and the descriptions mirror each other for symmetry. Naming is predictable and internally consistent.

Tool Count3/5

Two tools is a thin set: they cover exactly Terraform and Dockerfile scanning, but the server named infra-guard feels narrow. The count is coherent but borderline for the apparent purpose.

Completeness3/5

For the supported file types, the scanning workflow is functional, but common IaC targets such as Kubernetes manifests or CloudFormation templates are absent. There is also no batch or exception-handling capability, leaving notable coverage gaps.

Maintenance

ActivityMaintained
ResponsivenessNo issues