mcp-fusion
Multi-model fusion analysis tool that sends queries to multiple AI models in parallel and returns structured analysis from a judge model.
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— DeepSeekdeepseek-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— OpenAIgemini-2.5-flash— Googleclaude-sonnet— Anthropicclaude-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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