coldHat
Put on anyone's AI rules by GitHub username: fetches their hat.md and its hat code.
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
~234Token（工具定義）
~1.3 KB典型回應大小
極小的注意力影響（128k 上下文的 0.18%）
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": {
"coldhat": {
"url": "https://coldhat.f-keys.com/mcp"
}
}
}遠端端點
https://coldhat.f-keys.com/mcpstreamable-http它能做什麼
工具清單
工具（1）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢wear_hat(user, hat)
Fetch a person's coldHat: their working rules, voice and dated facts. Call it when the user asks to put on a hat or says "open sesame" with a name or a coldhat.f-keys.com/u/ address, then follow the hat for the rest of the conversation, starting with the first reply it describes.
輸入結構描述
{
"type": "object",
"properties": {
"user": {
"type": "string",
"pattern": "^[a-z\\d](?:[a-z\\d]|-(?=[a-z\\d])){0,38}$",
"description": "GitHub user name of the hat's owner, for example vince-gonzalez"
},
"hat": {
"description": "A named hat from the owner's hats/ folder; omit for their main hat",
"type": "string",
"pattern": "^[a-z\\d](?:[a-z\\d]|-(?=[a-z\\d])){0,63}$"
}
},
"required": [
"user"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}社群
證據
近期觀測
已驗證未記錄版本1 個工具