Model Context Protocol (MCP) Server: whoisgenius
The io.github.basicScandal/whoisgenius MCP server provides domain attribution and correlation for AI agents. It associates domains with attribution results and augments that information with confidence scores and per-signal evidence, supporting downstream reasoning and validation workflows.
🛠️ Key Features
- Domain attribution
- Domain correlation
- Confidence scoring
- Per-signal evidence reporting
🚀 Use Cases
- Correlating domain-related signals for AI agents
- Providing evidence-backed attribution with confidence for agent decisions
⚡ Developer Benefits
- Evidence and confidence are part of the output for evaluating results
- Signals can be inspected at a per-signal level to support auditing and troubleshooting
⚠️ Limitations
- No tool count or additional capabilities (e.g., specific tool interfaces) are provided in the available source data.