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What is Jinni?

Jinni is a tool designed to provide Large Language Models (LLMs) with a consolidated view of project files, enhancing context delivery and efficiency.

How does Jinni integrate with MCP Server?

Jinni integrates seamlessly with MCP Server, allowing AI models to access and interact with external data sources through a standardized protocol.

Can I customize which files Jinni includes?

Yes, Jinni offers customizable configurations through .contextfiles and override options, allowing you to define precisely which files or directories to include or exclude.

What platforms is Jinni compatible with?

Jinni is compatible with various MCP clients, including Cursor, Roo, and Claude Desktop, making it versatile for different development environments.

How does Jinni handle large context sizes?

Jinni manages large contexts efficiently and will abort operations if the size exceeds a configurable limit, ensuring optimal performance.

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