Server data from the Official MCP Registry
Scan any website's AI readiness: AI search visibility and AI agent usability. Free, no auth.
About
Scan any website's AI readiness: AI search visibility and AI agent usability. Free, no auth.
Remote endpoints: streamable-http: https://mcp.agentgauge.ai/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
1 tool verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-glasscaseofemotion-agentgauge": {
"url": "https://mcp.agentgauge.ai/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
1. The MCP server (recommended)
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
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