@vdineshk
基本信息
暂无概览
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"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
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.
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.
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.check_trust to evaluate reliability.check_anomaly.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.
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.
Data collection started on April 8, 2026, and every reported interaction strengthens the network for all agents.
The supported categories are weather, finance, code, data, search, compliance, transport, productivity, and communication.
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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