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MCP Rubber Duck
A bridge server for querying multiple OpenAI-compatible LLMs through the Model Context Protocol.
MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.
automation 84 MCPs
llm-integration 82 MCPs
API integration 48 MCPs
context management 47 MCPs
developer-tools 43 MCPs
typescript 43 MCPs
natural-language-interface 40 MCPs
Python 40 MCPs
AI-integration 35 MCPs
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