MCPs tagged with multi-provider
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Cross-LLM MCP Server
Unified MCP server for accessing and combining multiple LLM APIs.
Cross-LLM MCP Server is a Model Context Protocol (MCP) server enabling seamless access to a range of Large Language Model APIs including ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, and Mistral. It provides a unified interface for invoking different LLMs from any MCP-compatible client, allowing users to call and aggregate responses across providers. The server implements eight specialized tools for interacting with these LLMs, each offering configurable options like model selection, temperature, and token limits. Output includes model context details as well as token usage statistics for each response.
- ⭐ 9
- MCP
- JamesANZ/cross-llm-mcp
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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.
- ⭐ 56
- MCP
- nesquikm/mcp-rubber-duck