life. scored.
Rebuilds the scores real systems run on you — credit, actuarial, lending — in the open, cited.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'get_methodology' description lacks action verbin get_methodology
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mcp": {
"url": "https://lifescored.com/mcp"
}
}
}Remote endpoints
https://lifescored.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (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.
Input Schema
{
"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.
Input Schema
{
"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.
Input Schema
{
"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.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Community
Evidence