A
license-
qualityC
maintenanceMCP server for AI compliance auditing. Scores agent outputs for hallucination liability under the EU AI Act, issues verifiable compliance stamps, and tracks audit history by agent.
Last updated
MIT
Dominion Observatory
by vdineshk
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.
š Live: https://dominion-observatory.sgdata.workers.dev š” 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 ā not GitHub stars, not static scans, but actual performance metrics from real agent interactions.
Before calling an unknown MCP server ā
check_trusttells you if it's reliableAfter calling any MCP server ā
report_interactioncontributes to the trust networkEvery report makes scores better for everyone ā this is a collective intelligence system
Related MCP server: MCP Health Server
Tools (8)
Tool | Description |
| Get trust score and reliability metrics for any MCP server |
| Report success/failure after calling an MCP server |
| Top-rated MCP servers by category |
| Behavioral baselines for a tool category |
| Is this server behavior normal or anomalous? |
| Register a new MCP server (free) |
| 30-day trust score trend for a server |
| 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 ā it cannot be replicated by competitors who start later.
Categories
weather Ā· finance Ā· code Ā· data Ā· search Ā· compliance Ā· transport Ā· productivity Ā· communication
Operator
Built by Dinesh Kumar in Singapore. Part of the Dominion Agent Economy Engine (DAEE).
License
MIT
This server cannot be installed
Maintenance
āMaintainers
4dResponse time
āRelease cycle
āReleases (12mo)
Commit activity
Issues opened vs closed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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