Agentgauge

io.github.GlassCaseOfEmotionPublished by GitHub account GlassCaseOfEmotionv1.0.0Updated Oct 25, 2026

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

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingDeveloper Tools

Overview

AI-generated overview

AgentGauge scans a website's AI readiness, grading whether AI search can find and cite it and whether AI agents can use it.

What you can do
Scan a website for AI readiness against the AgentReady standard and get a letter grade with two gauges: AI search visibility and AI agent usability. Review every check with its status across discoverability, content for agents, AI visibility, capabilities, identity and access, and commerce. Get a link to the full report for the scanned site.
When to use it
Useful when you want a quick, free assessment of how visible and usable a site is to AI search and AI agents, for example before or after making changes to a site's markup, crawler access or agent-facing capabilities.
Requirements
A remote MCP endpoint; no authentication, environment variables or headers are declared. The assistant needs network access to reach the endpoint and the scanned site.
Before you install
The scan is performed by a third-party service, so the URL you submit is sent to AgentGauge. The README also describes a separate skill that edits your codebase and re-scans after deploy; that skill is not part of this MCP server and should be reviewed on its own.

Installation

In SourceWeft

  1. Open Agentgauge in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.GlassCaseOfEmotion%2Fagentgauge/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

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)

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

Cursor / Claude Desktop JSON config:

json
{  "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:

bash
mkdir -p ~/.claude/skills/agentgaugecurl -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: [email protected]

Source: README.md at commit 51dc765

Tools

1

scan_website

Scan a website for AI readiness

Run an AgentGauge agent-readiness scan of a website. Grades whether AI search can find/cite it and whether AI agents can use/transact with it, against the AgentReady standard. Returns the grade, both gauges, every check with its status, and a link to the full report.

Parametersurlrequired

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts