MCP server
Scry
ai.tunnelmind/scry
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Free IPv4 lookups against a distributed attacker-observation corpus.
Working at last checkVerified publisher: tunnelmind.aiAbout 1,444 tokens per request once connected12 tools
https://mcp.tunnelmind.ai/mcp
At a glance
- Type
- MCP server
- Publisher
- tunnelmind.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 12
- Token cost
- About 1,444 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http scry https://mcp.tunnelmind.ai/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.scry] url = "https://mcp.tunnelmind.ai/mcp"
Gemini CLI
{"mcpServers":{"scry":{"httpUrl":"https://mcp.tunnelmind.ai/mcp"}}}
Cursor
{"mcpServers":{"scry":{"url":"https://mcp.tunnelmind.ai/mcp"}}}
VS Code
{"servers":{"scry":{"type":"http","url":"https://mcp.tunnelmind.ai/mcp"}}}
Antigravity
agy mcp add scry https://mcp.tunnelmind.ai/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"scry","server_url":"https://mcp.tunnelmind.ai/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"scry","server_url":"https://mcp.tunnelmind.ai/mcp"}
Tools
scry_asn~102 tokens
Roll-up of corpus activity for a single ASN — observation count, distinct source IPs, actor count, scanner count, high-confidence actor count, and per-protocol breakdown.scry_campaign~69 tokens
Single campaign detail by id (format: c[0-9a-f]{15}).scry_campaigns~103 tokens
Active threat campaigns — coordinated attacker activity that exceeds the noise floor. ≥5 distinct actors, ≥3 ASNs, ≤5 destination ports, ≥1h history.scry_check~172 tokens
Returns Scry's corpus knowledge for a single IPv4 address: when it was first/last observed, observation count, protocols and ports targeted, ASN, country, category (actor/scanner/not_observed), and confidence_bucket (low/medium/high). Use when an agent needs IP triage, hostility assessment, or riskscry_check_bulk~94 tokens
Look up many IPv4 addresses in one request. Up to 100 IPs per call. Same per-IP shape as scry_check, keyed by IP.scry_country~85 tokens
Roll-up of corpus activity by ISO country code. Same shape as scry_asn.scry_recent~120 tokens
Recent observations feed — aggregated by source IP within a time window. Cursor-paginated via since_ms.scry_stats~297 tokens
Returns aggregate Scry corpus telemetry: total observation count, distinct source IPs, first/last observation timestamps, last-24h activity, and per-protocol breakdowns. Useful as a liveness/density check before issuing per-IP queries — lets an agent decide whether the corpus has enough data to be ascry_timeseries~105 tokens
Bucketed observation counts over time. Detect bursts, plot trends, sanity-check whether attacker activity is rising or falling.scry_tool~68 tokens
Single tool detail by 16-char hex id from scry_tools.scry_tools~107 tokens
List detected attack tools — (protocol, payload, path) tuples sent by 3+ distinct source IPs. Aggregate metadata only; never lists member actors.scry_top~122 tokens
Top-N source dimensions over a time window. Useful for situational awareness — 'where is the noise coming from right now?'
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