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io.github.GlassCaseOfEmotion/agentgauge

Official registry Search and web

Scan any website's AI readiness: AI search visibility and AI agent usability. Free, no auth.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http agentgauge 'https://mcp.agentgauge.ai/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "agentgauge": {
            "type": "http",
            "url": "https://mcp.agentgauge.ai/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. AgentGauge skill for Claude Code
  2. Install
  3. Use
  4. What gets checked

AgentGauge skill for Claude Code

Scan any website's AI readiness from inside your AI coding tool — then let it fix the findings in your codebase and re-scan to verify.

AgentGauge grades whether AI search can find you (citability, llms.txt, schema, AI-crawler access) and whether AI agents can use you (tools, identity, commerce signals), against the AgentReady standard with stable AR-IDs and MUST/SHOULD/MAY conformance. Free scan, instant letter grade.

Install

claude mcp add --transport http agentgauge https://mcp.agentgauge.ai/mcp

Cursor / Claude Desktop JSON config:

{
  "mcpServers": {
    "agentgauge": { "url": "https://mcp.agentgauge.ai/mcp" }
  }
}

No auth. One tool: scan_website({ url }).

2. The skill

Copy SKILL.md into your Claude Code skills directory as agentgauge/SKILL.md:

mkdir -p ~/.claude/skills/agentgauge
curl -fsSL https://raw.githubusercontent.com/GlassCaseOfEmotion/agentgauge-skill/main/SKILL.md \
  -o ~/.claude/skills/agentgauge/SKILL.md

Use

/agentgauge scan mysite.com

or just ask: "check my site's AI readiness and fix what's failing". The skill scans, prioritizes the findings (spec MUSTs first), implements fixes in your repo, and re-scans after deploy to verify the grade actually moved.

What gets checked

31 checks across 6 categories: Discoverability, Content for Agents, AI Visibility (GEO), Capabilities (MCP/A2A/OpenAPI), Identity & Access, and Commerce.

Built by AgentGauge · Weekly monitoring: Watch by AgentGauge · Contact: support@agentgauge.ai

Frequently asked questions

What is io.github.GlassCaseOfEmotion/agentgauge?

Scan any website's AI readiness: AI search visibility and AI agent usability. Free, no auth.

How do I install io.github.GlassCaseOfEmotion/agentgauge?

It runs as a remote server. In Claude Code: claude mcp add --transport http agentgauge 'https://mcp.agentgauge.ai/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.GlassCaseOfEmotion/agentgauge need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.GlassCaseOfEmotion/agentgauge open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.GlassCaseOfEmotion/agentgauge?

It is published by GlassCaseOfEmotion. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.