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Memory Bank Loader MCP Server

@abeyuya

Repository

Basic information

Category

Memory & Knowledge

License

MIT

Transports

stdio

Author

abeyuya

About Memory Bank Loader MCP Server

This is an MCP server for retrieving all files in the memory-bank directory at once. Its purpose is to reduce AI tool invocation frequency when loading memory-bank, saving both time and money.

Memory Bank Loader MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "memory-bank-loader": {
      "command": "npx",
      "args": [
        "-y",
        "memory-bank-loader-mcp@latest"
      ]
    }
  }
}

Memory Bank Loader MCP Server tools

1

Always use this tool to load the Memory Bank at the start of a task.

Overview

What is memory-bank-loader-mcp?

This is an MCP server for retrieving all files in the memory-bank directory at once. Its purpose is to reduce AI tool invocation frequency when loading memory-bank, saving both time and money.

How to use memory-bank-loader-mcp?

Configure the MCP client with the server using npx -y memory-bank-loader-mcp@latest or by building locally and pointing to the built index.js. Then invoke the read-memory-bank tool, providing the required memoryBankDirectoryFullPath parameter (full absolute path to the memory bank directory).

Key features of memory-bank-loader-mcp

  • Recursively reads all files from a specified directory.
  • Sorts files with a defined priority order: root files first, then priority files, then alphabetically.
  • Optimized for providing clear and structured context to AI models.
  • Consolidates multiple file reads into a single tool call.

Use cases of memory-bank-loader-mcp

  • Provide comprehensive project context (Memory Bank) to an AI in one request.
  • Reduce the number of tool invocations and associated costs when loading project memory.

Frequently asked questions

1

What is the purpose of memory-bank-loader-mcp?

It retrieves all files in a memory-bank directory at once to reduce the frequency of AI tool invocations, saving both time and money.

2

How do I invoke the read-memory-bank tool?

Call the tool

Comments

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