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Nauro

Human-approved project judgment and current state for connected AI agents, surfaced before work.

RUN IN TERMINAL
claude mcp add ainauro-nauro -- uvx nauro
ADD TO claude_desktop_config.json
{ "mcpServers": { "ainauro-nauro": { "command": "uvx", "args": ["nauro"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "ainauro-nauro": { "command": "uvx", "args": ["nauro"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "ainauro-nauro": { "command": "uvx", "args": ["nauro"] } } }

About This MCP Server

The ai.nauro/nauro server is a decision system for AI coding agents that provides insight into project decisions and their underlying reasons before changes are made. It enables transparency and understanding of the decision-making process, allowing developers to review and verify the reasoning behind code suggestions. Developers would use this tool when they need to understand the rationale behind code changes proposed by AI coding assistants, such as Claude Code and Cursor, to ensure that the changes align with their project goals.

Human-approved project judgment and current state for connected AI agents, surfaced before work.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.

Package

nauro on pypi

HOW TO USE

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

What tools does it provide?

The Nauro 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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[![Skills Playground](https://skillsplayground.com/badges/mcp/ainauro-nauro.svg)](https://skillsplayground.com/mcps/ainauro-nauro/)
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