LLM Council MCP Server

Example Use Cases

• 1

  Aggregate and synthesize responses from multiple LLMs for improved accuracy.

• 2

  Native integration with Claude Code via MCP for seamless multi-model querying.

• 3

  Multimodal input support including images and documents in their queries.

Description

LLM Council MCP Server enables querying multiple large language models simultaneously, having them critique each other's responses, and synthesizing a refined final answer. It supports native integration with Claude Code as a tool, stateless in-memory execution, multimodal inputs including images and documents, and a dark mode UI. This approach reduces hallucinations and surfaces diverse perspectives for more reliable outputs on complex questions.