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Cursor10x

@aurda012

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Cursor10x について

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

#memory#sqlite#mcp#vector#cursor#vector-database#turso#agentic#agentic-workflow#agentic-ai#cursorai#cursor-ai#mcp-server#agent-memory#agent-db

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

aurda012

投稿者

Alfredo Urdaneta

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cursor10x-mcp": {
      "command": "npx",
      "args": [
        "cursor10x-mcp"
      ],
      "enabled": true,
      "env": {
        "TURSO_DATABASE_URL": "your-turso-database-url",
        "TURSO_AUTH_TOKEN": "your-turso-auth-token"
      }
    }
  }
}

ツール

18

Generates a banner containing memory system statistics and status

Checks the health of the memory system and its database

Initializes a conversation by storing the user message, generating a banner, and retrieving context in one operation

Ends a conversation by storing the assistant message, recording a milestone, and logging an episode in one operation

Stores a user message in the short-term memory

Stores an assistant message in the short-term memory

Tracks an active file being accessed by the user

Retrieves recent messages from the short-term memory

Retrieves active files from the short-term memory

Stores a project milestone in the long-term memory

Stores a project decision in the long-term memory

Stores a project requirement in the long-term memory

Records an episode (action) in the episodic memory

Retrieves recent episodes from the episodic memory

Retrieves comprehensive context from all memory systems

Retrieves statistics about the memory system

Unified tool for managing vector embeddings with operations for store, search, update, and delete

Run diagnostics on the vector storage system to identify issues

概要

What is Cursor10x?

Cursor10x (now evolved into DevContext) is a Model Context Protocol (MCP) server that creates a persistent memory layer for AI assistants, specifically Claude. It enables assistants to retain and recall conversation history, active files, project milestones, decisions, technical requirements, code snippets, and semantically related content across sessions.

How to use Cursor10x?

Install Node.js 18+ and create a Turso database account. Configure .cursor/mcp.json in your project with the Turso database URL and auth token. Then run the server via npx cursor10x-mcp. The AI assistant invokes the provided tools automatically.

Key features of Cursor10x

  • Persistent context across multiple sessions
  • Importance-based information prioritization
  • Multi-dimensional memory (STM, LTM, Episodic, Semantic)
  • Vector embeddings for semantic similarity search
  • Automatic code indexing and structure detection
  • Health monitoring and built-in diagnostics

Use cases of Cursor10x

  • AI assistant recalling past decisions and milestones during development
  • Searching for related code across files by semantic meaning
  • Keeping conversation context across multiple chat sessions
  • Tracking project progress through episodic memory of actions

FAQ from Cursor10x

What is the relationship between Cursor10x and DevContext?

Cursor10x has evolved into DevContext, a more powerful dedicated context system for developers. The repository and documentation refer to the original name.

What dependencies does Cursor10x require?

Node.js 18 or higher and a Turso database account. The free Turso plan is sufficient for typical projects.

What tools does Cursor10x provide?

It provides tools for initializing and ending conversations, checking health, retrieving memory stats, and managing short-term, long-term, episodic, and semantic memory. Key tools include mcp_cursor10x_initConversation, mcp_cursor10x_endConversation, mcp_cursor10x_checkHealth, mcp_cursor10x_getMemoryStats, and mcp_cursor10x_getComprehensiveContext.

How is data stored in Cursor10x?

All memory data is persisted in a Turso database with automatic schema creation. Vector embeddings are stored using Turso's F32_BLOB and vector functions for efficient similarity search.

Is Cursor10x only for Claude?

The README states it is specifically designed for Claude, but as an MCP server it may be compatible with other MCP clients that support the protocol.

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