Memory Bank MCP Server

Integrations

  • Provides deployment option for running the Memory Bank MCP Server in a containerized environment

  • Mentioned as one of the platforms powering the Memory Bank MCP Server, suggesting integration with Hyperskill's educational content or structure

  • All Memory Bank files are stored in Markdown format, with the MCP server providing templates and structure for these documents

存储库 MCP 服务器

该 MCP 服务器为 AI 助手环境中的上下文保存提供了结构化的文档系统。

EnlighterHyperskill提供支持

特征

  • 获取有关记忆库结构的详细信息
  • 生成记忆库文件的模板
  • 分析项目并为记忆库内容提供建议

运行服务器

有几种使用此 MCP 服务器的选项:

拥有Smithery

将其添加到您的 mcp.json 配置文件中:

{ "mcpServers": { "memory-bank": { "command": "npx", "args": [ "-y", "@smithery/cli@latest", "run", "@ipospelov/mcp-memory-bank", "--key", "your_smithery_key" ] } } }

使用 SSE

将其添加到您的 mcp.json 配置文件中:

{ "mcpServers": { "memory-bank": { "url": "https://mcp-cursor-setup-enlighter.replit.app/sse" } } }

使用 Docker

将其添加到您的 mcp.json 配置文件中:

{ "mcpServers": { "memory-bank": { "command": "docker", "args": [ "run", "-i", "--rm", "19283744/mcp-memory-bank:latest" ] } } }

手动

运行以下命令:

python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt

然后将其添加到您的 mcp.json 配置文件中:

{ "mcpServers": { "memory-bank": { "command": "python", "args": ["server.py"] } } }

使用示例

询问 Cursor 或任何其他具有 Memory Bank MCP 的 AI 代码助手:

Create memory bank for To Do list application with your tools

提供更多背景信息以获得更好的结果。

可用工具

获取内存结构

返回存储库文件结构的详细描述。

生成内存库模板

返回特定存储库文件的模板。

例子:

{ "file_name": "projectbrief.md" }

分析项目摘要

分析项目摘要并为记忆库内容提供建议。

例子:

{ "project_summary": "Building a React web app for inventory management with barcode scanning" }

存储库结构

记忆库由核心文件和可选的上下文文件组成,全部采用 Markdown 格式:

核心文件(必需)

  1. projectbrief.md - 塑造所有其他文件的基础文档
  2. productContext.md - 解释项目存在的原因以及正在解决的问题
  3. activeContext.md - 当前工作重点、近期变化、后续步骤
  4. systemPatterns.md - 系统架构、技术决策、设计模式
  5. techContext.md - 使用的技术、开发设置、限制
  6. progress.md - 哪些有效,哪些还有待构建
-
security - not tested
F
license - not found
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

为 AI 助手环境中的上下文保存提供结构化的文档系统,帮助用户为其项目创建和管理存储库。

  1. Features
    1. Running the Server
      1. With Smithery
      2. With SSE
      3. With Docker
      4. Manually
    2. Usage Example
      1. Available Tools
        1. get_memory_bank_structure
        2. generate_memory_bank_template
        3. analyze_project_summary
      2. Memory Bank Structure
        1. Core Files (Required)

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