MCP.so
Sign In

Dominion Observatory

@vdineshk

Repository

About Dominion Observatory

No overview available yet

#trust-scoring#mcp#behavioral-trust#agent-safety#x402#ai-agents#model-context-protocol#security#autonomous-agents

Basic information

Category

Other

Runtime

node

Transports

stdio

Publisher

vdineshk

Submitted by

vdineshk

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "dominion-observatory": {
      "url": "https://dominionobservatory.com/mcp"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Dominion Observatory?

Dominion Observatory is the behavioral trust layer for the AI agent economy. It checks MCP server reliability before a call and reports outcomes to strengthen the trust network, using real runtime data rather than static scans.

How to use Dominion Observatory?

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.

Key features of Dominion Observatory

  • 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.

Use cases of Dominion Observatory

  • Before calling an unknown MCP server, use check_trust to evaluate reliability.
  • After calling any MCP server, report the interaction to contribute to the trust network.
  • Browse the leaderboard to discover top-rated servers by category.
  • Detect anomalous server behavior with check_anomaly.
  • Register a new MCP server to be tracked and scored by the network.

FAQ from Dominion Observatory

How are trust scores calculated?

Trust scores range from 0 to 100 and combine two signals: a static score (30%) based on GitHub presence, documentation, and authentication support, and a runtime score (70%) based on real success rates, latency, and error patterns from agent interactions.

Where does the observatory’s data live?

Data is hosted on Cloudflare D1 (SQLite at the edge) running on Cloudflare Workers, with over 330 global edge locations and sub‑millisecond cold starts.

When did data collection begin?

Data collection started on April 8, 2026, and every reported interaction strengthens the network for all agents.

What categories does the leaderboard cover?

The supported categories are weather, finance, code, data, search, compliance, transport, productivity, and communication.

Who built and operates Dominion Observatory?

It was built by Dinesh Kumar in Singapore as part of the Dominion Agent Economy Engine (DAEE). The server is licensed under MIT.

Comments

More Other MCP servers

MCP Registry

modelcontextprotocol

A community driven registry service for Model Context Protocol (MCP) servers.

7.0K

Inbox Zero AI

elie222

The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.

11.6K

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K

ICSS

chokcoco

不止于 CSS

20.7K