# AI Council MCP Server

> Use this tool when you need to improve the accuracy and reduce bias of AI-driven decisions by querying multiple models in parallel. The AI Council MCP Server takes in natural language queries or data inputs and outputs synthesized responses, providing a consensus-based output. Ideal for applications where robust and reliable AI decision-making is critical, such as data analysis, research, or strategic planning.

Canonical page: https://skillsregistry.net/skills/0xakuti-ai-council-mcp  
JSON: https://api.skillsregistry.net/v1/skills/0xakuti-ai-council-mcp

## Description

Multi-AI Consensus Tool: Query multiple AI models in parallel, synthesize responses for better accuracy, and reduce AI bias through ensemble decision-making.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/opuyrirpm6)
- **Repository:** <https://github.com/0xAkuti/ai-council-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": "0xakuti-ai-council-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xakuti-ai-council-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xakuti-ai-council-mcp/pull`

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