MCP.Market

Dominion Observatory MCP server

not responding
by vdineshk·io.github.vdineshk/dominion-observatory·v1.1.0·1 stars
No reviews yet

Runtime behavioral trust scoring for MCP servers. Check reliability before calling unknown tools.

B77/100grade B
Write a reviewRun it
What users say
No reviews yet
Be the first
Safety scan
B77/100

full report

Adoption
New

1 stars

Reviews

Write one

Nobody has reviewed Dominion Observatory yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Dominion Observatory tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 474ms; handshake note: SSE error: Non-200 status code (404)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 122 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 77/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Dominion Observatory compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
77/100
higher than 50% of 48,255 servers
Uptime
0%
of our recent checks; the typical remote server answers 100%
GitHub stars
1
more than 65% of 28,688 servers

Install Dominion Observatory in Claude Code, Cursor or VS Code

claude mcp add --transport http dominion-observatory https://dominion-observatory.sgdata.workers.dev/mcp
Add to Cursor

What the publisher says

From the Dominion Observatory repository's README, as published. We do not edit it. Read it on GitHub

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

Tools (8)

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.

Categories

weather · finance · code · data · search · compliance · transport · productivity · communication

Operator

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

License

MIT

Nothing above is checked by us. What we check is on the safety report.

Dominion Observatory: common questions

Is Dominion Observatory MCP server safe?
Mostly: it is graded B (77/100). Read the Dominion Observatory safety report
How do I install Dominion Observatory?
It runs remotely at dominion-observatory.sgdata.workers.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Dominion Observatory need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Dominion Observatory maintained?
The last commit was 163 days ago (2026-05-25). The latest release is v1.1.0.
Is Dominion Observatory up?
0% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Dominion Observatory compare with other MCP servers?
safety score 77/100 (higher than 50% of 48,255 servers); uptime 0% (of our recent checks; the typical remote server answers 100%); github stars 1 (more than 65% of 28,688 servers). Full comparison.