Which integrations are available for this server?

Provides trust scoring and reliability monitoring for MCP servers deployed on Cloudflare infrastructure, leveraging Cloudflare Workers for global edge computing and D1 for edge database storage. Enables trust evaluation and behavioral monitoring of MCP servers running on Cloudflare Workers platform, utilizing Workers' edge network for low-latency trust assessments. Incorporates GitHub presence and repository metrics into trust scoring algorithms for MCP servers, evaluating documentation quality and project activity as part of reliability assessments. Utilizes SQLite via Cloudflare D1 for storing and querying trust metrics, interaction reports, and behavioral data across the MCP server trust network.

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 this?

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.

Before calling an unknown MCP server → check_trust tells you if it's reliable
After calling any MCP server → report_interaction contributes to the trust network
Every report makes scores better for everyone — this is a collective intelligence system

Related MCP server: agent-audit-trail

Tools (8)

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

Quick Start

For agents (MCP)

Connect to: https://dominion-observatory.sgdata.workers.dev/mcp

For developers (REST API)

# 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"

How Trust Scores Work

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.

Architecture

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

Data Collection

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.

Operator

Built by Dinesh Kumar in Singapore. Part of the Dominion Agent Economy Engine (DAEE).

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive

ResponsivenessWithin a week

Resources

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