# MCP Two AI Models Communicating Server

> MCP Two AI Models Communicating Server — mamidi-joseph-mcp-two-ai-models-communicating. Use this tool when you need to facilitate collaboration between two local Large Language Models (LLMs) for enhanced decision-making and reasoning. It enables one model to consult the other for second opinions, providing a more comprehensive understanding of complex problems. By allowing Qwen and Llama to communicate via MCP, this server solves issues of limited perspective and promotes more accurate outcomes.

Canonical page: https://skillsregistry.net/skills/mamidi-joseph-mcp-two-ai-models-communicating  
JSON: https://api.skillsregistry.net/v1/skills/mamidi-joseph-mcp-two-ai-models-communicating

## Description

Enables two local LLMs (Qwen and Llama) to communicate via MCP, allowing one model to consult the other for second opinions or additional reasoning.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ot75uspfhg)
- **Repository:** <https://github.com/mamidi-joseph/MCP-Two-AI-Models-Communicating>

## 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": "mamidi-joseph-mcp-two-ai-models-communicating"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mamidi-joseph-mcp-two-ai-models-communicating` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mamidi-joseph-mcp-two-ai-models-communicating/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