Skip to main content
Glama
digitalassetscan

digitalassetscan-mcp

Official

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": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_assetA

Submit an asynchronous analysis to the canonical CAI API. Returns the admission document; use get_analysis_job to poll. Unresolved Claims in a successful result are analytical states, not failures.

get_analysis_jobA

Retrieve canonical CAI job state and, after success, the unchanged schema 0.6 result. Missing/expired jobs are operational lifecycle conditions, not analytical unresolvedness.

list_assetsA

Return the canonical API's neutral 20-asset launch catalog. The catalog is discovery-only, unranked, and does not imply endorsement.

get_methodologyA

Return CAI's canonical machine discovery document, including scope, methodology version, endpoint links, and Score/Confidence semantics.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct role: submitting an analysis, polling for results, listing assets, and retrieving methodology. There is no overlap or ambiguity in what an agent would use each tool for.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: analyze_asset, get_analysis_job, list_assets, get_methodology. The naming is predictable and easy to navigate.

Tool Count5/5

Four tools is well-scoped for a focused asset-scanning server. Each tool serves a necessary part of the workflow: discover assets, understand methodology, submit analysis, and retrieve results.

Completeness4/5

The core async analysis lifecycle is covered with submit and poll, and the supporting discovery/methodology tools are present. Minor gaps exist, such as no explicit cancel operation or asset detail retrieval, but the primary workflow is fully usable.

Maintenance

ActivityMaintained
ResponsivenessNo issues