Cursor Conversations MCP Server
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Alternatives to Cursor Conversations MCP Server
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Related Servers
- FlicenseNot gradedqualityNot gradedmaintenanceEnables AI to automatically search, retrieve, and organize your Cursor chat history across sessions. Supports tagging, nicknames, project-scoped search, and full-text search to maintain context between conversations.-
- AlicenseBqualityCmaintenanceProvides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.1661 npm2MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to read each other's conversation history read-only and sanitized, so you can continue work across different tools without re-explaining context.MIT
- AlicenseAqualityDmaintenanceEnables AI coding assistants to query and store a team's historical development experience through semantic search, so lessons and decisions persist across conversations.91MIT
- FlicenseBqualityDmaintenanceEnables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.41-
- AlicenseNot gradedqualityAmaintenanceEnables Claude Code to search and retrieve past chat history from Claude.ai exports and Claude Code sessions, allowing the AI to reference previous conversations and decisions.MIT
TDQS
Scored across 8 tools
Most tools have distinct purposes, but there is some overlap between list_conversations and search_conversations, as both can be used to find conversations, which might cause confusion despite the detailed warnings. The other tools like export, extract, find_related, get, and analytics are clearly differentiated in their functions.
All tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., export_conversation_data, list_conversations, get_system_info). This uniformity makes the tool set predictable and easy to navigate for an agent.
With 8 tools, the count is well-suited for the server's purpose of managing and analyzing Cursor conversations. It covers core operations like listing, searching, retrieving, analyzing, exporting, and extracting, without being overwhelming or insufficient for the domain.
The tool set provides comprehensive coverage for conversation analysis, including CRUD-like operations (list, get, search) and advanced features (analytics, export, extraction, finding related). A minor gap is the lack of tools for modifying or deleting conversations, but this is likely intentional for a read-only analysis server.