# copamind-mcp

> copamind-mcp — phemassa-copamind-2026. Use this tool when you need to interact with the CopaMind platform for predictive analytics and insights, solving problems such as forecasting match outcomes, simulating uncertain events, and generating explanations for predictions. It provides read-only and write tools for querying match predictions, simulations, and rankings, with inputs including query parameters and outputs including predictive results and explanations. Use it in contexts where data-driven decision making and transparent predictive modeling are required.

Canonical page: https://skillsregistry.net/skills/phemassa-copamind-2026  
JSON: https://api.skillsregistry.net/v1/skills/phemassa-copamind-2026

## Description

Enables interaction with the CopaMind platform via MCP, exposing read-only and write tools for querying match predictions, Monte Carlo simulations, team rankings, and RAG-based explanations, all while maintaining full traceability and reproducibility.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yjs2l3ooup)
- **Repository:** <https://github.com/Phemassa/copamind-2026>

## 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": "phemassa-copamind-2026"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phemassa-copamind-2026` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phemassa-copamind-2026/pull`

---
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