An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel
An MCP server that bridges to multiple OpenAI-compatible LLMs - your AI rubber duck debugging panel
An MCP (Model Context Protocol) server that acts as a bridge to query multiple LLMs -- both OpenAI-compatible HTTP APIs and CLI coding agents. Just like rubber duck debugging, explain your problems to various AI "ducks" and get different perspectives!
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
OpenAI — Google Geminiask_duck — Ask a single question to a specific LLM providerchat_with_duck — Conversation with context maintained across messagesclear_conversations — Clear all conversation historylist_ducks — List configured providers and health statuslist_models — List available models for providerscompare_ducks — Ask the same question to multiple providers simultaneouslyduck_council — Get responses from all configured ducksget_usage_stats — Usage statistics and estimated costsduck_vote — Multi-duck voting with reasoning and confidenceduck_judge — Have one duck evaluate and rank others' responsesduck_iterate — Iteratively refine a response between two ducksask_duck — Ask a single question to a specific LLM providerchat_with_duck — Conversation with context maintained across messagesclear_conversations — Clear all conversation historylist_ducks — List configured providers and health statuslist_models — List available models for providerscompare_ducks — Ask the same question to multiple providers simultaneouslyduck_council — Get responses from all configured ducksget_usage_stats — Usage statistics and estimated costsduck_vote — Multi-duck voting with reasoning and confidenceduck_judge — Have one duck evaluate and rank others' responsesduck_iterate — Iteratively refine a response between two ducksduck_debate — Structured multi-round debate between ducksmcp_status — MCP Bridge status and connected serversCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| 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 |
| list_ducks | List configured providers and health status |
| list_models | List available models for providers |
| compare_ducks | Ask the same question to multiple providers simultaneously |
| duck_council | Get responses from all configured ducks |
| get_usage_stats | Usage statistics and estimated costs |
| duck_vote | Multi-duck voting with reasoning and confidence |
| duck_judge | Have one duck evaluate and rank others' responses |
| duck_iterate | Iteratively refine a response between two ducks |
| duck_debate | Structured multi-round debate between ducks |
| mcp_status | MCP Bridge status and connected servers |
{
"mcpServers": {
"rubber-duck": {
"command": "npx",
"args": ["-y", "directly"],
"env": {
"OPENAI_API_KEY": "your-value",
"GEMINI_API_KEY": "your-value",
"GROQ_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| GROQ_API_KEY | Credential the server authenticates with. | Yes |
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.