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Tokonomix Council

Multi-model consensus: 2-6 frontier LLMs answer, an independent judge synthesises one answer.

RUN IN TERMINAL
claude mcp add aitokonomix-council -- npx -y tokonomix-council-mcp
ADD TO claude_desktop_config.json
{ "mcpServers": { "aitokonomix-council": { "command": "npx", "args": ["-y", "tokonomix-council-mcp"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "aitokonomix-council": { "command": "npx", "args": ["-y", "tokonomix-council-mcp"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "aitokonomix-council": { "command": "npx", "args": ["-y", "tokonomix-council-mcp"] } } }

About This MCP Server

The ai.tokonomix/council server is a Model Context Protocol server that enables multi-model consensus by connecting 2-6 frontier large language models to answer questions, with an independent judge synthesizing the responses into a single answer. This server can be used by developers to leverage the collective capabilities of multiple models and produce more accurate or comprehensive results. Developers would reach for this tool when they need to combine the strengths of multiple language models and produce a unified response, and it can be integrated into their projects using npm and stdio.

Multi-model consensus: 2-6 frontier LLMs answer, an independent judge synthesises one answer.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.

Package

tokonomix-council-mcp on npm

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.

What tools does it provide?

The Tokonomix Council server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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