# mcp-decision-lab

> mcp-decision-lab — alebrito124356-mcp-decision-lab. Use this tool when you need to make informed, data-driven decisions by evaluating multiple options and weighing their pros and cons. The mcp-decision-lab takes in decision criteria and option data, and outputs prioritized recommendations with sensitivity analysis, enabling robust decision-making in uncertain environments. Ideal for use cases requiring structured decision support, such as resource allocation, investment choices, or strategic planning.

Canonical page: https://skillsregistry.net/skills/alebrito124356-mcp-decision-lab  
JSON: https://api.skillsregistry.net/v1/skills/alebrito124356-mcp-decision-lab

## Description

MCP server that enables structured decision-making using weighted decision matrices, sensitivity analysis, and robust recommendations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t6s9ojcl9f)
- **Repository:** <https://github.com/AleBrito124356/mcp-decision-lab>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alebrito124356-mcp-decision-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alebrito124356-mcp-decision-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alebrito124356-mcp-decision-lab/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt