Cursor
Desktop · Freemium · Proprietary
The first agentic IDE. The Cursor editor truly merges how developers and AI work together, delivering a magical coding experience.
Knowledge Management · Developer Tools
Cursor10x MCP
aurda012/cursor10x-mcp
DevContext is a cutting-edge Model Context Protocol (MCP) server providing developers with continuous, project-centric context awareness that understands your codebase at a deeper level.
Install
npx cursor10x-mcpClient configuration
{
"mcpServers": {
"cursor10x-mcp": {
"command": "npx",
"args": [
"cursor10x-mcp"
],
"env": {
"TURSO_DATABASE_URL": "<TURSO_DATABASE_URL>",
"TURSO_AUTH_TOKEN": "<TURSO_AUTH_TOKEN>"
}
}
}
}Environment variables
TURSO_DATABASE_URLTURSO_AUTH_TOKEN- GitHub stars
- 18
- Author
- @aurda012
- Category
- Knowledge Management, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
About Cursor10x MCP
Continuous Context Awareness - Sophisticated retrieval methods focusing on what matters Structured Metadata - From repository structure down to individual functions Adaptive Learning - Continuously learns from and adapts to your development patterns Completely Autonomous - Self-managing context system that works in the background External Documentation - Automatically retrieves and integrates relevant documentation Workflow Integration - Seamless task management workflow built-in
Features
Persistent Context: Maintains conversation and project context across multiple sessions
Importance-Based Storage: Prioritizes information based on configurable importance levels
Multi-Dimensional Memory: Combines short-term, long-term, episodic, and semantic memory systems
Comprehensive Retrieval: Provides unified context from all memory subsystems
Health Monitoring: Includes built-in diagnostics and status reporting
Banner Generation: Creates informative context banners for conversation starts
Database Persistence: Stores all memory data in Turso database with automatic schema creation
Vector Embeddings: Creates numerical representations of text and code for similarity search
Advanced Vector Storage: Utilizes Turso's F32_BLOB and vector functions for efficient embedding storage
ANN Search: Supports Approximate Nearest Neighbor search for fast similarity matching
Tools (16)
mcp_cursor10x_initConversation
Initializes a conversation by storing the user message, generating a banner, and retrieving context in one operation.
mcp_cursor10x_endConversation
Ends a conversation by combining multiple operations in one call: storing the assistant's final message, recording a milestone for what was accomplished, and…
mcp_cursor10x_checkHealth
Checks the health of the memory system and its database connection.
mcp_cursor10x_getMemoryStats
Retrieves detailed statistics about the memory system.
mcp_cursor10x_getComprehensiveContext
Retrieves a unified context from all memory subsystems, combining short-term, long-term, and episodic memory.
mcp_cursor10x_storeUserMessage
Stores a user message in the short-term memory system.
mcp_cursor10x_storeAssistantMessage
Stores an assistant message in the short-term memory system.
mcp_cursor10x_trackActiveFile
Tracks an active file being accessed or modified by the user.
mcp_cursor10x_getRecentMessages
Retrieves recent messages from the short-term memory.
mcp_cursor10x_getActiveFiles
Retrieves active files from the short-term memory.
mcp_cursor10x_storeMilestone
Stores a project milestone in the long-term memory.
mcp_cursor10x_storeDecision
Stores a project decision in the long-term memory.
mcp_cursor10x_storeRequirement
Stores a project requirement in the long-term memory.
mcp_cursor10x_recordEpisode
Records an episode (action) in the episodic memory.
mcp_cursor10x_getRecentEpisodes
Retrieves recent episodes from the episodic memory.
mcp_cursor10x_manageVector
Unified tool for managing vector embeddings with operations for store, search, update, and delete.
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.