Cursor Conversations

Provides direct access to Cursor's local conversation database for analyzing coding patterns, extracting personalized development insights, and generating context-aware assistance based on your actual project history and problem-solving sessions.

MCP server by Vlad Tansky that provides AI assistants with direct access to Cursor's local conversation database for analyzing coding patterns and generating personalized development insights. The implementation reads SQLite conversation data directly from Cursor's storage, offering tools for conversation retrieval, search, analytics, and relationship discovery across chat history, with support for both legacy and modern Cursor database formats. Built with TypeScript using better-sqlite3 for database access, it includes conversation parsing, code block extraction, file relationship mapping, and export capabilities in multiple formats, serving developers who want to analyze their actual coding conversations to extract personalized coding rules, identify recurring development patterns, and generate context-aware assistance based on their real project history and problem-solving sessions.