Dominion Observatory
@vdineshk
关于 Dominion Observatory
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dominion-observatory": {
"url": "https://dominionobservatory.com/mcp"
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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_trustretrieves trust scores and reliability metrics for any MCP server.report_interactionreports success or failure after calling an MCP server.get_leaderboarddisplays top-rated MCP servers by category.check_anomalydetermines if server behavior is normal or anomalous.register_serverallows free registration of new MCP servers.get_server_historyshows a 30-day trust score trend for a server.
Use cases of Dominion Observatory
- Before calling an unknown MCP server, use
check_trustto 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.
其他 分类下的更多 MCP 服务器
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
Reactive Resume
amruthpillaiA one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
Inbox Zero AI
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
评论