EthersFlow — Trust Gate for AI Agents
Trust gate for AI agents: multi-model adversarial consensus, signed and verifiable verdicts.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~291Token（工具定義）
~3.2 KB典型回應大小
極小的注意力影響（128k 上下文的 0.23%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"ethersflow": {
"command": "npx",
"args": [
"@ethersflow/mcp-server"
]
}
}
}可執行的套件
npm@ethersflow/mcp-server
0.2.3stdio遠端端點
https://www.ethersflow.com/api/mcpstreamable-http它能做什麼
工具清單
工具（1）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪verify_agent_action(agent_action, reasoning_chain, context, agent_count, persona_preset, ...)
Gate and verify autonomous AI agent action decisions (e.g. trades, emails, claims, API calls) via EthersFlow Multi-Model Federated Adversarial Consensus before execution.
輸入結構描述
{
"type": "object",
"properties": {
"agent_action": {
"type": "string",
"description": "The proposed action the agent intends to take."
},
"reasoning_chain": {
"type": "string",
"description": "The agent's internal reasoning or context leading to this decision."
},
"context": {
"type": "object",
"description": "Structured contextual evidence, metadata, or source document references."
},
"agent_count": {
"type": "number",
"description": "Number of adversarial audit nodes (2 to 7, default 3)."
},
"persona_preset": {
"type": "string",
"enum": [
"clinical_safety",
"financial_compliance",
"legal_citation",
"cybersecurity_auditor",
"general_adversarial"
]
},
"scope_hint": {
"type": "string",
"description": "Optional domain or task scope hint (e.g. 'clinical_safety', 'financial_compliance', 'legal_citation', 'cybersecurity_auditor')."
},
"policy_id": {
"type": "string",
"description": "Optional policy pack identifier to evaluate against."
},
"grounding_enabled": {
"type": "boolean",
"description": "Enable hybrid fact grounding verification."
},
"zero_retention": {
"type": "boolean",
"description": "Enforce zero data retention (ZDR)."
}
},
"required": [
"agent_action"
]
}社群
證據
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