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Security & Testing

agentglass.net

Scans a public job posting or application URL for hidden text, comments, metadata, and scripts containing prompt-injection attempts aimed at AI agents.

1 endpoint1 known toolsFirst detected September 17, 2026Last detected September 17, 2026

ENDPOINT 1

https://agentglass.net/mcp

No auth detected

MCP server metadata

Name
agentglass
Version
0.1.0
Capabilities
tools

Known tools 1

scan_job_page

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).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agentglass]
url = "https://agentglass.net/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "agentglass": {
      "type": "http",
      "url": "https://agentglass.net/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: agentglass
Remote MCP URL: https://agentglass.net/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "agentglass": {
      "type": "http",
      "url": "https://agentglass.net/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "agentglass",
  "transport": "streamable-http",
  "url": "https://agentglass.net/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.