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WDI Decision Intelligence

WDI Decision Intelligence

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github.com/alicexixi85Other0Updated 1d ago
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About WDI Decision Intelligence

WDI Decision Intelligence is an open-source MCP server for structuring high-stakes career and personal decisions with financial calculations and evidence grading. It is aimed at people weighing options such as leaving a job, taking a caregiving break or relocating, and runs locally without dependencies.

Key features

  1. 01Checklist across six decision dimensions
  2. 02Calculates cash runway and safety floor
  3. 03Classifies claims by evidence status
  4. 04Compares and ranks multiple options
  5. 05Applies redline rules to rankings

Use cases

  1. 01Estimate runway before leaving a job
  2. 02Assess evidence behind a promotion promise
  3. 03Compare work and relocation options

MCP support

The MCP server exposes tools for decision checklists, runway calculations, evidence grading and option comparison to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "alicexixi85-wdi-decision": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/alicexixi85/wdi-decision-mcp:0.1.0"
      ]
    }
  }
}
Run commanddocker run -i --rm ghcr.io/alicexixi85/wdi-decision-mcp:0.1.0

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ocighcr.io/alicexixi85/wdi-decision-mcp:0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

WDI — Women's Decision Intelligence MCP

An open-source Model Context Protocol server that helps Claude, Cursor or any MCP client structure high-stakes career and life decisions with numbers and evidence instead of generic reassurance: quitting a "golden handcuffs" job, taking a career break for caregiving, relocating, or weighing a family promise against what you actually control.

Zero dependencies, Python 3.10+, everything runs locally.

Tools

ToolWhat it does
six_dimension_checklistThe six questions to answer for every option: cash runway, irreversible time windows, care load, safety floor (health insurance, housing), actual control rights, institutional bridges (leave, severance, part-time).
calculate_runwayMonths of runway after a change, the cash needed for a safety floor (default 6 months of essentials), and how long you can experiment before touching it.
grade_evidenceTags each claim behind the decision as KNOWN, ASSUMED, UNKNOWN or SYNTHETIC (hope or verbal promise) with a next step for each.
compare_optionsRanks 2+ options scored 1-5 on the six dimensions with optional weights. An option with a redline (score 1, e.g. losing health insurance) is ranked last regardless of its average.

Install

git clone https://github.com/alicexixi85/wdi-decision-mcp.git

{
  "mcpServers": {
    "wdi": {
      "command": "python3",
      "args": ["/absolute/path/to/wdi-decision-mcp/server.py"]
    }
  }
}

Docker: docker build -t wdi-decision-mcp . && docker run -i --rm wdi-decision-mcp

Example prompts

  • "I have $40k in savings, $3,500 of essential costs a month and would earn $1,000 freelancing. If I quit, how long is my runway with a 6-month safety floor?"
  • "Grade the evidence: my manager promised a promotion next year; the offer letter says $120k; I don't know the severance policy."
  • "Compare staying, a 4-day week, and quitting across the six dimensions."

There is also a no-install version of the method in wdi_lite_prompt.md that you can paste into any chat assistant.

Limits

This is a decision-structuring aid. It is not legal, tax, financial, medical or mental-health advice. For contracts, prenups or divorce, taxes, benefits or safety concerns, talk to a qualified professional. If you are in danger, contact local emergency services.

Full WDI toolkit

This repository is complete and free (MIT). The separate paid WDI 2.4.3 toolkit ($35, Gumroad) is a 75-file bilingual (EN/ZH) skill package for AI agents: a root SKILL file, research profiles, frameworks and playbooks, synthetic decision-card examples and jurisdiction-sensitive research cards (marked as needing verification).

License

MIT

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