Dominion Observatory
About
# Dominion Observatory **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 ## What is…
Details
- Transport
- SSE
Explore
- check_trust retrieves trust scores and reliability metrics for any MCP server.
- report_interaction reports success or failure after calling an MCP server.
- get_leaderboard displays top-rated MCP servers by category.
- check_anomaly determines if server behavior is normal or anomalous.
- register_server allows free registration of new MCP servers.
- get_server_history shows a 30-day trust score trend for a server.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Dominion ObservatoryCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Agents connect via the MCP endpoint https://dominion-observatory.sgdata.workers.dev/mcp. Developers can also use the REST API endpoints for trust checks, leaderboard, and network stats.
check_trust
Get the trust score and reliability metrics for any MCP server. Use this BEFORE calling an unknown MCP server to assess if it's reliable. Returns trust_score (0-100), latency stats, uptime, success rate, and how many agents have used it. Scores above 70 indicate reliable servers. Scores below 30 indicate risky servers.
report_interaction
Report the outcome of calling an MCP server. Call this AFTER you use any MCP server to contribute to the trust network. Your report helps other agents make better decisions. This is free and takes <1ms.
get_leaderboard
Get the top-rated MCP servers, optionally filtered by category. Use this to discover the most reliable MCP servers in the ecosystem. Categories include: weather, finance, code, data, search, compliance, transport, productivity, communication.
get_baselines
Get behavioral baselines for a tool category. Shows what 'normal' looks like — average latency, success rates, typical call patterns. Use this to evaluate whether a specific server's performance is within normal range for its category.
check_anomaly
Check if observed behavior from an MCP server is anomalous compared to baselines. Use this when a server seems slow, unreliable, or returns unexpected results. Returns whether the behavior deviates significantly from normal patterns.
register_server
Register a new MCP server in the observatory. Server owners can register their servers to start building a trust score. Registration is free.
get_server_history
Get daily trust score and performance history for a server over the last 30 days. Use this to see trends — is the server improving or degrading?
observatory_stats
Get overall statistics about the Dominion Observatory — total servers tracked, total interactions recorded, coverage by category, and data freshness. Use this to understand the scope of the trust network.
get_compliance_report
Export a compliance-ready audit trail of all recorded interactions. Formatted for EU AI Act Article 12 and Singapore IMDA Agentic AI Governance Framework. Filter by server, agent, or date range. Essential for enterprises that need to prove their AI agents are behaving correctly.
get_mica_attestation
Generate a MiCA / EU AI Act Article 12 compliance attestation for an MCP server. CRITICAL after July 1, 2026: the EU MiCA transitional period expires and agents operating in EU-regulated contexts need auditable behavioral attestation. Returns compliance grade, risk level, monitoring continuity status, and links to full audit exports.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"dominion observatory": {
"dominion-observatory": {
"url": "https://dominionobservatory.com/mcp"
}
}
}
}McpServers
{
"dominion-observatory": {
"url": "https://dominionobservatory.com/mcp"
}
}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.
- Beforecalling an unknown MCP server →check_trusttells you if it's reliable
- Aftercalling any MCP server →report_interactioncontributes to the trust network
- Every report makes scores better for everyone— this is a collective intelligence system
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:
- Static score (30%): GitHub presence, documentation quality, authentication support
- Runtime score (70%): Real success rates, latency, error patterns from agent interactions
Scores above 70 = reliable. Below 30 = risky. The more agents report interactions, the more accurate scores become.
- Runtime:Cloudflare Workers (330+ global edge locations, <1ms cold start)
- Database:Cloudflare D1 (SQLite at the edge)
- Protocol:MCP (Model Context Protocol) + REST API
- Cost:Runs on free tier
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 byDinesh Kumarin Singapore. Part of the Dominion Agent Economy Engine (DAEE).
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