MCP (Model Context Protocol), introduced by Anthropic, is the “USB-C for AI applications.” It standardizes how Large Language Models and AI agents securely connect to external data sources and tools.
Instead of manually copying IOCs or switching dashboards, analysts and AI agents can now query rich threat intelligence natively inside their conversational workflows.
Silent Push MCP Server
The new Silent Push MCP Server is a SaaS-hosted endpoint that brings Silent Push’s preemptive threat intelligence directly into the AI tools you already use.
Key Silent Push Capabilities Available via MCP
Enrichment
enrich_domain / enrich_ip
bulk_enrich_domains / bulk_enrich_ips
get_risk_score – Full proprietary risk scoring
Passive Active DNS (PADNS)
query_forward, query_backward, query_reverse
find_sibling_domains, find_cousin_domains, find_self_hosted
get_density, get_diversity, get_host_diversity
get_nameserver_domains, get_asns_for_domain
namechain_search, search_domains, lookup_both
Reputation Tools
get_asn_reputation
get_subnet_reputation
get_nameserver_reputation
get_ip_reputation
get_domain_whois
Scanning
live_scan
screenshot_url
SPQL – Fingerprinting & Search
query_spql
find_by_favicon, find_by_ssl_certificate, find_by_jarm
find_by_html_pattern, find_by_banner
search_by_asn
Core Features of Silent Push MCP
Direct Querying from AI Tools – Ask Claude, Cursor, or any MCP-compatible client about a domain or IP and receive instant structured results.
Full Risk Scoring – Proprietary scoring based on attacker behavior, passive DNS, certificates, web content, and more (via get_risk_score + enrichment).
Rich Enrichment – Comprehensive context for Domains and IPv4, including WHOIS, DNS history, linked infrastructure, impersonation risk, and more.
Live Scanning & Visuals – On-demand live web scans and URL screenshots.
Advanced Fingerprinting – SPQL queries, favicon/SSL/JARM matching, banner searches, and more.
Why It Matters
Modern security teams already leverage AI for triage, investigation, and reporting. Silent Push MCP removes the friction of traditional API lookups by delivering enriched, risk-scored intelligence directly into those AI workflows.
Typical Use Cases
SOC analysts paste a suspicious IP → get full risk profile + linked infrastructure
Threat hunters ask AI agents to correlate domains across campaigns using PADNS and SPQL
Incident responders enrich alerts with upstream attacker context in seconds
CTI teams generate dynamic reports using natural language