AI-powered threat intelligence, smart contract auditing, and cybersecurity OSINT.
If you already use Oracle42, the oracle42 mcp server is the piece that lets your assistant work with it directly. AI-powered threat intelligence, smart contract auditing, and cybersecurity OSINT.
Sovereign AI intelligence platform with 94,000+ threat intelligence data points across 293 Qdrant collections.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
threat_intelligence — Search 48,000+ darknet intelligence pointssmart_contract_audit — AI-powered Solidity security auditoracle_reading — 42+ divination engines concordancelegal_compliance_check — 320-doc legal RAG validationvulnerability_scan — OWASP Top 13 automated scandefi_opportunities — Top 50 stablecoin DeFi yieldsSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Oracle42's toolset — threat_intelligence, smart_contract_audit, oracle_reading and 3 more — is a fair guide to whether it matches your workflow. It is maintained by mintmas; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| threat_intelligence | Search 48,000+ darknet intelligence points |
| smart_contract_audit | AI-powered Solidity security audit |
| oracle_reading | 42+ divination engines concordance |
| legal_compliance_check | 320-doc legal RAG validation |
| vulnerability_scan | OWASP Top 13 automated scan |
| defi_opportunities | Top 50 stablecoin DeFi yields |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.