maxwell-defense
Model proof-of-work policy and latency for AI agents. $1 USDC rehearsal; no runtime protection.
我該用這個嗎
品質與安全性
B
發現項目(1)
- LOW在 describe_agent 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~253Token(工具定義)
~1.2 KB典型回應大小
極小的注意力影響(128k 上下文的 0.20%)
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": {
"maxwell-defense": {
"url": "https://mcp.viridis-security.com/maxwell-defense/mcp"
}
}
}遠端端點
https://mcp.viridis-security.com/maxwell-defense/mcpstreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪rehearse_defense(client_hashes_per_second, client_p95_budget_ms, backend_cost_ms, peak_requests_per_second)
$1 bounded policy rehearsal. Returns a model and local hash measurement. Does not activate endpoint protection or establish energy savings.
輸入結構描述
{
"type": "object",
"properties": {
"client_hashes_per_second": {
"title": "Client Hashes Per Second",
"type": "integer"
},
"client_p95_budget_ms": {
"title": "Client P95 Budget Ms",
"type": "integer"
},
"backend_cost_ms": {
"title": "Backend Cost Ms",
"type": "integer"
},
"peak_requests_per_second": {
"title": "Peak Requests Per Second",
"type": "integer"
}
},
"required": [
"client_hashes_per_second",
"client_p95_budget_ms",
"backend_cost_ms",
"peak_requests_per_second"
],
"title": "rehearse_defenseArguments"
}輸出結構描述
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "rehearse_defenseOutput"
}🟢describe_agent
Free scope and price discovery.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "describe_agentArguments"
}輸出結構描述
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "describe_agentOutput"
}社群
證據
近期觀測
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具