AgentGlass MCP
AgentGlass checks public job application pages before an AI job agent applies. It returns a simple report that helps decide whether to continue or pause for human review. It scans for hidden instructions aimed at AI agents (prompt injection) in resumes and job postings.
Endpoint and access
No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.
https://agentglass.net/mcpWhat its tools do
1 tool, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.
Not annotated (1)
Checks and signals
Each line is separate evidence, not a trust score.
- Passed Endpoint answered the live check ·
- Passed Official MCP Registry namespace is tied to agentglass.net ·
- Passed Endpoint is on the registry namespace domain ·
- Availability 1 of 1 checks passed in 30 days
What you can do with it
- Scan public job application URLs for hidden instructions
- Check resumes and job postings for prompt injection
- Decide whether to continue or pause for human review
- Provide review signals on risk level and verdict
Source and maintenance
Protocol and capabilities
- Server
- agentglass 0.1.0
- MCP protocol negotiated in check
- 2025-06-18
- Tools
- 1 advertised
- Resources
- Not advertised
- Resource templates
- Not advertised
- Prompts
- Not advertised
{
"tools": {}
}Tools
1 advertised
scan_job_page — Scan a page for hidden AI instructions
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.
{
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "Public URL to inspect, such as a job application page."
},
"timeoutMs": {
"type": "number",
"maximum": 45000,
"minimum": 5000,
"description": "Optional scan timeout in milliseconds."
}
},
"additionalProperties": false
}Prompts
Not advertised
Resources
Not advertised
90-day uptime
A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.
- 2026-11-07: 1 of 1 checks answered
30-day availability
Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.
- Successful checks
- 1 of 1 (100%)
- Average latency
- 232 ms
- 95th percentile latency
- 232 ms
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · probe · passed · 232 ms · metadata changed · 1 tool(s)
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http agentglass-mcp https://agentglass.net/mcpCodex
codex mcp add agentglass-mcp --url https://agentglass.net/mcpCursor
{
"mcpServers": {
"agentglass-mcp": {
"url": "https://agentglass.net/mcp"
}
}
}Cline
{
"mcpServers": {
"agentglass-mcp": {
"type": "streamableHttp",
"url": "https://agentglass.net/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"agentglass-mcp": {
"type": "http",
"url": "https://agentglass.net/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http agentglass-mcp https://agentglass.net/mcpClaude Desktop
https://agentglass.net/mcpWindsurf
{
"mcpServers": {
"agentglass-mcp": {
"serverUrl": "https://agentglass.net/mcp"
}
}
}Let your agent find its tools
Find servers like AgentGlass MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.
Other ai and machine learning servers
Do you run AgentGlass MCP?
Prove ownership with a DNS record, a well-known file, or your Official MCP Registry entry, and your edits publish immediately. Proofs are re-checked weekly; admins can still hide or remove a listing.