life. scored.
Rebuilds the scores real systems run on you — credit, actuarial, lending — in the open, cited.
我該用這個嗎
品質與安全性
發現項目（1）
- LOWTool 'get_methodology' description lacks action verb在 get_methodology 中
根據工具定義與協定合規性的自動化分析。
上下文成本
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": {
"mcp": {
"url": "https://lifescored.com/mcp"
}
}
}遠端端點
https://lifescored.com/mcpstreamable-http它能做什麼
工具清單
工具（4）
🟢get_rulebook
The complete life-score rulebook and exact math: every rule (weight, bounds, evidence, source, formula), the input schema (what to ask the user), and the engine constants. Use this to compute a score on your OWN side — nothing is sent back.
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_input_schema
Just the fields to collect from the user, with types, ranges/allowed values, defaults, and plain-language help. Ask only for what you do not already know; missing fields fall back to their default.
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_methodology
Plain-English explanation of how scoring works, the two governing principles, what is deliberately left out (protected characteristics, luck), and the privacy stance. Use to answer "how does this work / is this fair" questions.
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}⚪how_to_give_feedback
How to suggest a better weight, a fresh source, or a new rule via GitHub, so improvements from many people aggregate in the open.
輸入結構描述
{
"type": "object",
"properties": {},
"additionalProperties": false
}社群
證據