Multi LLM Debugging Bridge
未认领An MCP server that connects multiple OpenAI-compatible LLMs with shared tool access. Inspired by rubber duck debugging, it lets users discuss problems with different AI models, gather diverse insights, perform research, and compare responses to improve troubleshooting and decision-making.
01 / 选择客户端
03 / 添加配置
claude mcp add --transport stdio 'multi-llm-debugging-bridge' -- 'npx' '-y' 'mcp-rubber-duck'04 / 在客户端中确认
打开客户端的 MCP 设置，确认服务器已连接并列出工具。复制配置不代表连接成功。
更多AI & ML服务器
浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
15 个工具中显示 15 个
文档中列出的工具 (15)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
approve_mcp_request
Approve or deny a duck's MCP tool request
ask_duck
Ask a single question to a specific LLM provider
chat_with_duck
Conversation with context maintained across messages
clear_conversations
Clear all conversation history
compare_ducks
Ask the same question to multiple providers simultaneously
duck_council
Get responses from all configured ducks
duck_debate
Structured multi-round debate between ducks
duck_iterate
Iteratively refine a response between two ducks
duck_judge
Have one duck evaluate and rank others' responses
duck_vote
Multi-duck voting with reasoning and confidence
get_pending_approvals
Pending MCP tool approval requests
get_usage_stats
Usage statistics and estimated costs
list_ducks
List configured providers and health status
list_models
List available models for providers
mcp_status
MCP Bridge status and connected servers