Behavioral trust layer for AI agents. Check trust scores, report interactions, detect anomalies.
{
"mcpServers": {
"io-github-vdineshk-dominion-observatory": {
"command": "<see-readme>",
"args": []
}
}
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Behavioral trust layer for AI agents. Check trust scores, report interactions, detect anomalies.
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The behavioral trust layer for the AI agent economy.
Check MCP server reliability before you call. Report outcomes to strengthen the trust network.
🌐 Live: https://dominion-observatory.sgdata.workers.dev 📡 MCP Endpoint: https://dominion-observatory.sgdata.workers.dev/mcp
Every AI agent needs to know: "Can I trust this MCP server?" The Dominion Observatory answers that question with real runtime data — not GitHub stars, not static scans, but actual performance metrics from real agent interactions.
check_trust tells you if it's reliablereport_interaction contributes to the trust network| Tool | Description |
|------|-------------|
| check_trust | Get trust score and reliability metrics for any MCP server |
| report_interaction | Report success/failure after calling an MCP server |
| get_leaderboard | Top-rated MCP servers by category |
| get_baselines | Behavioral baselines for a tool category |
| check_anomaly | Is this server behavior normal or anomalous? |
| register_server | Register a new MCP server (free) |
| get_server_history | 30-day trust score trend for a server |
| observatory_stats | Overall network statistics |
Connect to: https://dominion-observatory.sgdata.workers.dev/mcp
# Check trust score
curl "https://dominion-observatory.sgdata.workers.dev/api/trust?url=https://example.workers.dev/mcp"
# View leaderboard
curl "https://dominion-observatory.sgdata.workers.dev/api/leaderboard"
# Network stats
curl "https://dominion-observatory.sgdata.workers.dev/api/stats"
Trust scores range from 0-100 and combine two signals:
Scores above 70 = reliable. Below 30 = risky. The more agents report interactions, the more accurate scores become.
Started: April 8, 2026
Every interaction reported to the observatory strengthens the trust network for all agents. The behavioral dataset compounds daily — it cannot be replicated by competitors who start later.
weather · finance · code · data · search · compliance · transport · productivity · communication
Built by Dinesh Kumar in Singapore. Part of the Dominion Agent Economy Engine (DAEE).
MIT