MoA MCP Server

MoA MCP Server

Enables users to leverage a mixture-of-agents architecture where multiple AI models discuss a question in parallel and a president model synthesizes the best answer.

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README

MoA MCP Server

Mixture-of-Agents MCP Server — 并行调用多个参考模型讨论问题，再由总统筹模型综合输出最佳答案。

架构

你的问题
  ↓
[DeepSeek V4 Flash]    [MiMo V2.5 Pro]    ← 参考模型并行分析
  ↓                     ↓
[DeepSeek V4 Pro]                        ← 总统筹综合输出
  ↓
最终答案 + 参考意见原文

配置

环境变量

变量 必填 说明
DEEPSEEK_API_KEY ✅ DeepSeek API Key
MIMO_API_KEY ✅ 小米 MiMo API Key
DEEPSEEK_BASE_URL 可选 默认 https://api.deepseek.com
FLASH_MODEL 可选 参考模型1，默认 deepseek-chat
MIMO_BASE_URL 可选 默认 https://api.xiaomimimo.com
MIMO_MODEL 可选 参考模型2，默认 mimo-2.5-pro
AGGREGATOR_MODEL 可选 总统筹模型，默认 deepseek-v4-pro

Proma 集成

在 Proma 的 mcp.json 中添加：

{
  "moa": {
    "command": "node",
    "args": ["/path/to/moa-mcp-server/server.js"],
    "env": {
      "DEEPSEEK_API_KEY": "sk-xxx",
      "MIMO_API_KEY": "sk-xxx",
      "FLASH_MODEL": "deepseek-chat",
      "MIMO_MODEL": "mimo-2.5-pro",
      "AGGREGATOR_MODEL": "deepseek-v4-pro"
    },
    "type": "stdio",
    "enabled": true
  }
}

其他 MCP 客户端

支持任何兼容 MCP 协议的客户端（Claude Desktop、VS Code 等），按对应平台配置 stdio MCP server 即可。

用法

在 Agent 会话中调用 moa_discuss 工具：

  • query（必填）：需要讨论的问题
  • context（可选）：背景信息

工作原理

  1. 将问题并行发送给 DeepSeek V4 Flash 和 MiMo V2.5 Pro
  2. 两个参考模型独立分析，返回各自意见
  3. 总统筹模型 (DeepSeek V4 Pro) 综合所有参考意见，输出最终答案
  4. 返回结果包含最终答案 + 各参考模型的原始意见原文

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