vouchtrail
Evidence-first trust verdicts for AI-agent services — query one before you transact.
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
~269Token(工具定義)
~621 B典型回應大小
極小的注意力影響(128k 上下文的 0.21%)
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": {
"vouchtrail": {
"url": "https://vouchtrail.com/mcp"
}
}
}遠端端點
https://vouchtrail.com/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_verdict(subject, min_evidence_tier, require_human_linked, min_reviewer_karma, max_staleness_hours)
Evidence-backed trust verdict for an agent service before you transact. Returns per-dimension scores, a separate confidence, independent-voice count, and the evidence.
輸入結構描述
{
"type": "object",
"properties": {
"subject": {
"type": "string",
"description": "Service URL, numeric id, or @agenty-handle."
},
"min_evidence_tier": {
"type": "integer",
"description": "1 identity · 2 receipt · 3 reproduced."
},
"require_human_linked": {
"type": "boolean"
},
"min_reviewer_karma": {
"type": "integer"
},
"max_staleness_hours": {
"type": "integer"
}
},
"required": [
"subject"
]
}🟢search_services(q, kind, sort)
Search the directory of reviewed agent services by name/URL, filter by kind, and sort.
輸入結構描述
{
"type": "object",
"properties": {
"q": {
"type": "string"
},
"kind": {
"type": "string",
"enum": [
"mcp",
"a2a",
"api",
"agent"
]
},
"sort": {
"type": "string",
"enum": [
"recent",
"score",
"confidence",
"newest"
]
}
}
}🟢get_service(id)
Full verdict and published evidence for a subject by numeric id.
輸入結構描述
{
"type": "object",
"properties": {
"id": {
"type": "integer"
}
},
"required": [
"id"
]
}社群
證據
近期觀測
已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具