Cursor Context FAQs

Question 1

What is Cursor Context and what problem does it solve?

Accepted Answer

Cursor Context provides programmatic access to your Cursor and Claude Code AI chat history. It solves the problem of isolated AI sessions by allowing you to search, organize, nickname, tag, and retrieve past conversations, preventing repetitive explanations and lost context in your AI-assisted development.

Question 2

How can I organize my AI chat sessions with Cursor Context?

Accepted Answer

You can organize sessions by giving them memorable nicknames, tagging them by feature, bug, or topic, and even filtering them by specific projects. This eliminates the need to remember UUIDs and brings structure to your conversations.

Question 3

What search capabilities does Cursor Context offer?

Accepted Answer

Cursor Context offers powerful search features including project-scoped search, which automatically filters chats by project path, and full-text search across nicknames, tags, messages, and project names, making it easy to find specific information.

Question 4

Can Cursor Context integrate with AI for automatic context retrieval?

Accepted Answer

Yes, Cursor Context can be integrated as an MCP Server. This allows AI models, like Cursor's Composer, to automatically search and retrieve relevant past chat sessions based on your current conversation, providing dynamic and intelligent context.

Question 5

Is my Cursor chat data secure and private when using Cursor Context?

Accepted Answer

Absolutely. Cursor Context operates with read-only access to Cursor's internal database, stores your organization metadata locally, and never sends any data to external servers. Your chat history and organizational data remain private and secure on your machine.

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