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Dominion Observatory MCP Server

@vdineshk

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

vdineshk

投稿者

vdineshk

Dominion Observatory MCP Server について

概要はまだありません

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

Dominion Observatory MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Dominion Observatory MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

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.

よくある質問

1

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.

2

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.

3

When did data collection begin?

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

4

What categories does the leaderboard cover?

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

5

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.

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