agentglass

Scan any public URL for hidden instructions aimed at AI agents (prompt injection). Free, no auth.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~155Tokens (tool definitions)
~918 BTypical response size
Minimal attention impact (0.12% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "agentglass": {
      "url": "https://agentglass.net/mcp"
    }
  }
}

Remote endpoints

https://agentglass.net/mcpstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪scan_job_page(url, timeoutMs)

Scan a public URL, typically a job posting or application page, for hidden text, HTML comments, metadata and script content that try to instruct an AI agent (prompt injection). Returns a risk level (clean, notice, suspicious, high), a short verdict and the evidence, so the agent can decide whether to continue or pause for human review.

Input Schema

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "format": "uri",
      "description": "Public URL to inspect, such as a job application page."
    },
    "timeoutMs": {
      "type": "number",
      "minimum": 5000,
      "maximum": 45000,
      "description": "Optional scan timeout in milliseconds."
    }
  },
  "required": [
    "url"
  ],
  "additionalProperties": false
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded1 tools
verifiedversion not recorded1 tools