目录 / chiark-mcp
MCP
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已上架
chiark-mcp
Find the most reliable AI agent for any task. Search 2,000+ agents across A2A and MCP with quality filters - min uptime, max latency, score thresholds. Check if an agent is alive before routing to it. Like Artificial Analysis, but for agent services.
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接入信息
- 传输形态
- http
- 鉴权方式
- 鉴权未知
- 端点
https://chiark-mcp--chiark-ai-dev.run.tools
鉴权方式未标注,请核对官方文档后再接入——不要直接使用以下片段
{
"mcpServers": {
"chiark-mcp": {
"url": "https://chiark-mcp--chiark-ai-dev.run.tools"
}
}
}
能力清单
| 工具 | 说明 |
|---|---|
| find_agent | Find the best AI agents for a given task. Searches agent names, descriptions, and skills. Returns ranked results sorted by operational quality score. Supports constraint-based filtering for routing decisions (uptime, latency, auth, payment). |
| get_agent_score | Get the full quality score breakdown for a named AI agent. Includes availability, conformance, and performance scores, uptime stats, latency, trend, and ranking. |
| check_agent_status | Check the real-time status of an agent. Returns the latest probe result including whether the agent is alive, HTTP status, and response time. Use this before routing a task to an agent. |
| report_outcome | Report the outcome of routing a task to an agent. This feedback improves future recommendations. Call this after using an agent to report success or failure. |
| get_ecosystem_stats | Get ecosystem-wide statistics for all indexed AI agents. Includes total counts, average scores, top agents, and category distribution. |
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