# DebateTalk MCP

> Use this tool when you need to facilitate informed discussions and uncover nuanced insights by synthesizing multiple perspectives. DebateTalk MCP solves problems of information fragmentation and bias by categorizing debate outcomes into ground truths and blind spots. It takes in diverse model outputs and user inputs, producing a structured debate history and model health checks via the Model Context Protocol.

Canonical page: https://skillsregistry.net/skills/debatetalk-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/debatetalk-ai-mcp

## Description

Enables AI assistants to facilitate structured multi-model debates that synthesize multiple perspectives into clear categories like ground truths and blind spots. It provides tools for running real-time debates, checking model health, and managing history via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n4bjuhkeeg)
- **Repository:** <https://github.com/DebateTalk-AI/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": "debatetalk-ai-mcp"
    }
  }
}
```

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