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内存银行MCP-Server
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Memory Bank MCP Server
A Memory Bank implementation for managing project documentation and context across sessions using the Model Context Protocol (MCP). This server helps AI agents like Claude maintain consistent project knowledge through global and branch-specific memory banks stored in a structured JSON format.
This project is inspired by Cline Memory Bank from the nickbaumann98/cline_docs repository.
Packages
This repository is a monorepo managed with Yarn Workspaces. It contains the following packages:
-
packages/mcp
: The core MCP server implementation. Contains the main logic for handling memory bank operations, MCP tool execution, and server startup. -
packages/schemas
: Defines the JSON schemas used for memory bank documents (e.g.,memory_document_v2
). -
packages/vscode-extension
: A VSCode extension providing integration with the Memory Bank MCP server (details TBD).
Getting Started
Prerequisites
- Node.js (see
.tool-versions
for recommended version) - Yarn (v1.x)
Installation
Clone the repository and install dependencies from the root directory:
git clone https://github.com/t3ta/memory-bank-mcp-server.git
cd memory-bank-mcp-server
yarn install
Running the MCP Server
You can run the MCP server directly from the monorepo:
# From the monorepo root directory
yarn workspace @memory-bank/mcp start --docs /path/to/your/docs
Replace /path/to/your/docs
with the actual path to your project's documentation directory (where global-memory-bank
and branch-memory-bank
will reside or be created).
See the packages/mcp/README.md
for more details on running the server and its options.
Development
-
Build all packages:
yarn build
-
Run tests for all packages:
yarn test
-
Lint code:
yarn lint
Refer to the README file within each package directory for package-specific development instructions.
License
This project is licensed under the MIT License. See the LICENSE file for details.
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Reviews

user_J2XBrPWZ
I've been using memory-bank-mcp-server by t3ta for a while now, and it has significantly enhanced my workflow. The setup was straightforward thanks to the comprehensive documentation on the GitHub page. The server's performance and reliability are outstanding, ensuring all my memory bank needs are met efficiently. Highly recommend checking it out!