Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
scan_siteA

Scan a website for Agent Readiness using the ASO (Agent Signal Optimization) framework and return an Agent Readiness Report. Runs 33 checks across discoverability (robots.txt, sitemap, llms.txt, DNS-AID, Link headers), content accessibility (markdown negotiation), bot access control (AI bot rules, Content Signals, Web Bot Auth), invocation (API catalog, OAuth discovery, OAuth protected resource, auth.md, MCP Server Card, Google A2A Agent Card, Agent Skills, WebMCP), commerce (x402, MPP, UCP, ACP, pricing) and identity/trust signals. Returns the ASO Score (0-100, formally the Agent Readiness Index), ASO maturity level (ASO-0 Invisible … ASO-5 Autonomous-Commerce-Ready), an agent-readiness verdict, per-pillar scores, per-check evidence, and prioritized recommendations.

check_signalA

Run one specific agent-readiness check against a site (e.g. 'a2a-agent-card', 'llms-txt', 'mcp-server-card', 'x402'). Use list_checks for valid check ids. Returns status, evidence, and a fix recommendation.

list_checksA

List the full catalog of checks the scanner runs: id, name, category (Cloudflare isitagentready-style), description, and spec link.

get_fix_planA

Scan a site and return a prioritized remediation plan: which signals to add first, the ASO Score points each fix is worth, and ready-to-paste artifact templates (robots.txt AI rules, llms.txt, agent.json, A2A agent-card.json, MCP server card, x402 manifest, pricing.json, security.txt, status endpoint).

get_aso_frameworkA

Return the ASO (Agent Signal Optimization) framework reference: the six signal pillars with point weights, the Agent Readiness Index maturity levels (ASO-0 through ASO-5), certification thresholds, and the scoring rubric. Source: https://agentsignaloptimization.com

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/forgemeshlabs/aso-audit-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server