# predictioncouncil-mcp

> predictioncouncil-mcp — daveb1392-predictioncouncil-mcp. Use this tool when you need to leverage collective AI intelligence for predicting event outcomes on Polymarket. It enables searching and running a council of AI models, including Grok, Claude, GPT, and Gemini, to produce structured verdicts. The tool accepts event inputs from any MCP client and outputs informed predictions, making it ideal for use cases requiring data-driven decision-making and probabilistic forecasting.

Canonical page: https://skillsregistry.net/skills/daveb1392-predictioncouncil-mcp  
JSON: https://api.skillsregistry.net/v1/skills/daveb1392-predictioncouncil-mcp

## Description

Enables searching and running an AI council (Grok, Claude, GPT, Gemini) on Polymarket events to produce structured verdicts from any MCP client.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nmzx4c7ff2)
- **Repository:** <https://github.com/daveb1392/predictioncouncil-mcp>

## 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": "daveb1392-predictioncouncil-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/daveb1392-predictioncouncil-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/daveb1392-predictioncouncil-mcp/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