@ipospelov
基本信息
MCP server that helps build Memory Bank - structured documentation system for context preservation
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"memory-bank": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"19283744/mcp-memory-bank:latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
Memory Bank MCP Server is a tool that helps build a structured documentation system based on Cline's Memory Bank pattern for context preservation in AI assistant environments. It integrates with AI code assistants like Cursor to create and manage project documentation.
Install via uvx, Smithery, Docker, or manually by cloning the repo and running the Python script. Configure the server in your mcp.json file, then ask your AI assistant to create a memory bank for your project.
It is a structured documentation system with core files (e.g., project brief, product context, active context) and optional context files, all in Markdown format, designed to preserve context in AI assistant environments.
You can run it via `uvx`, Smithery, Docker, or manually by cloning the repository and running the Python virtual environment. Configuration is added to the MCP client's `mcp.json` file.
Three tools: `get_memory_bank_structure` (returns structure details), `generate_memory_bank_template` (returns a template for a specified file), and `analyze_project_summary` (analyzes a summary and provides suggestions).
The required core files are: `projectbrief.md`, `productContext.md`, `activeContext.md`, `systemPatterns.md`, `techContext.md`, `progress.md`, and `memory_bank_instructions.md`.
Yes, it requires Python and can be run via `uvx`, Docker, or manually with a virtual environment. No special authentication or transport is mentioned.
Model Context Protocol Servers
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