DevContext: Autonomous Context Awareness Model-Context-Protocol (MCP) Server

Name: DevContext: Autonomous Context Awareness Model-Context-Protocol (MCP) Server
Author: aurda012

@aurda012

关于 DevContext: Autonomous Context Awareness Model-Context-Protocol (MCP) Server

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly

#cursor #memory-system #ai-assistant #agentic-memory #memory #database #agent-memory #agent #system #autonomous #windsurf #context #context-aware #agent-toolkit #cursor-rules #rag

基本信息

分类

其他

许可证

MIT

运行时

html

传输方式

stdio

发布者

aurda012

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is DevContext?

DevContext is a Model Context Protocol (MCP) server that provides continuous, project-centric context awareness for developers. It uses non-vector retrieval methods—keyword analysis, relationship graphs, and structured metadata—to understand both your codebase and conversations, adapts to development patterns, and integrates with Cursor IDE. Data is stored in a TursoDB database dedicated to a single project.

How to use DevContext?

Install Node.js 18+, set up a TursoDB database, and configure the MCP server in your project’s .cursor/mcp.json with TURSO_DATABASE_URL and TURSO_AUTH_TOKEN environment variables. Run npx -y devcontext@latest. Optionally, implement the provided Cursor Rules for autonomous context management, which define a precise tool execution sequence: initialize_conversation_context, update_conversation_context, retrieve_relevant_context, record_milestone_context, and finalize_conversation_context.

Key features of DevContext

Non-vector context retrieval (keyword, relationship graph, metadata)
Project‑centric design with a dedicated database per project
Minimal dependencies (MCP SDK, TursoDB client, lightweight AST parsing)
Hierarchical understanding from repository structure to function/variable level
Intelligent context prioritization using recency, importance, relationships, and focus

Use cases of DevContext

Maintain full conversational context across a development session
Retrieve relevant codebase context on demand (functions, files, architecture)
Record significant milestones (features, bug fixes, architectural decisions)
Enable autonomous context management and task workflows via Cursor Rules

FAQ from DevContext

What differentiates DevContext from vector‑based context systems?

DevContext uses keyword analysis, relationship graphs, and structured metadata instead of vector embeddings, avoiding external ML dependencies and providing language‑aware retrieval for multiple programming languages.