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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ADVERSARY_LLM_MODELNoLLM model to use
ADVERSARY_LOG_LEVELNoLog level for the applicationINFO
ADVERSARY_LLM_PROVIDERNoLLM provider (e.g., openai, anthropic)
ADVERSARY_CACHE_SIZE_MBNoCache size in megabytes200
ADVERSARY_WORKSPACE_ROOTNoPath to the project workspace root
ADVERSARY_MAX_CONCURRENT_SCANSNoMaximum number of concurrent scans8

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
adv_scan_fileB

Scan a file for security vulnerabilities using Clean Architecture. Automatically uses session-aware analysis when LLM is configured.

adv_scan_folderB

Scan a directory for security vulnerabilities using Clean Architecture. Automatically uses session-aware project analysis when LLM is configured.

adv_scan_codeB

Scan code content for security vulnerabilities using Clean Architecture. Automatically uses session-aware analysis with project context when available.

adv_get_statusB

Get comprehensive server status including session management capabilities, active sessions, and cache statistics

adv_get_versionB

Get server version information

adv_mark_false_positiveC

Mark a finding as a false positive

adv_unmark_false_positiveB

Remove false positive marking from a finding

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 7 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no ambiguity. The three scanning tools (code, file, folder) target different input types, while status/version tools serve administrative functions and false positive tools handle annotation management. There is no functional overlap between tools.

Naming Consistency5/5

All tools follow a perfect 'adv_verb_noun' pattern with consistent snake_case throughout. The naming convention is highly predictable, making it easy for agents to understand tool purposes from their names alone.

Tool Count5/5

Seven tools is an excellent number for this security scanning domain. The set covers core scanning operations (code/file/folder), administrative functions (status/version), and annotation management (mark/unmark false positives) without being overwhelming or sparse.

Completeness4/5

The tool surface covers the essential security scanning workflow well, including scanning different input types and managing false positives. A minor gap exists in result retrieval/management tools - there's no way to list, filter, or export findings beyond the scanning operations themselves, but agents can work around this limitation.

Maintenance

ActivityInactive
ResponsivenessSyncing