mcp-fusion

mcp-fusion

Multi-model fusion analysis tool that sends queries to multiple AI models in parallel and returns structured analysis from a judge model.

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README

MCP Fusion Server

多模型融合分析工具。将问题并行发送给多个 AI 模型,由评审模型综合各方观点,返回结构化分析。

安装

cd mcp-fusion
npm install
npm run build

在 Claude Code 中配置

在项目 .mcp.json 或全局 ~/.claude/settings.json 中添加:

{
  "mcpServers": {
    "fusion": {
      "command": "node",
      "args": ["/Users/thysummer/Desktop/some thing/agent/Claude code/mcp-fusion/dist/index.js"],
      "env": {
        "ARK_API_KEY": "你的字节方舟CodingPlan key",
        "ANTHROPIC_API_KEY": "你的Anthropic key"
      }
    }
  }
}

只需要 ARK_API_KEY + ANTHROPIC_API_KEY 就能跑起来(面板走方舟,评审走 Claude)。

如果还想在面板中加入 GPT 或 Gemini,额外配置对应 key 即可。

可用模型

通过 CodingPlan(一个 ARK key):

  • doubao-seed-2.0-pro — 字节豆包
  • deepseek-v4-pro — DeepSeek
  • deepseek-v4-flash — DeepSeek 快速版
  • kimi-k2.6 — 月之暗面
  • glm-5.1 — 智谱
  • minimax-m3 — MiniMax

通过各自官方 key:

  • gpt-4o — OpenAI
  • gemini-2.5-flash — Google
  • claude-sonnet — Anthropic
  • claude-opus — Anthropic

默认配置

  • 面板:deepseek-v4-pro + kimi-k2.6 + glm-5.1
  • 评审:claude-sonnet

自定义使用

调用时可以指定面板和评审模型:

"用 fusion 分析这个问题,面板用 deepseek-v4-pro、gpt-4o、kimi-k2.6,评审用 claude-opus"

tool 参数:

  • query — 要分析的问题
  • panel_models — 可选,面板模型 ID 列表
  • judge_model — 可选,评审模型 ID

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