Roo Code Memory Bank MCP Server
LocalAbout Roo Code Memory Bank MCP Server
A Model Context Protocol server that implements the Roo Code Memory Bank system, letting AI assistants keep project context across sessions. It stores context as Markdown files in a memory-bank/ directory accessed through structured tools.
Key features
- 01Initialize memory-bank directory with template files
- 02Check memory bank status and list files
- 03Read a specified memory bank file
- 04Append timestamped entries, optionally under a header
Use cases
- 01Loading project context at the start of a session
- 02Recording decisions and progress updates
- 03Persisting project memory for Cline or Roo Code
MCP support
This project is an MCP server that exposes four tools to MCP clients for checking, initializing, reading and appending memory bank files.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMERoo Code Memory Bank MCP Server
This project implements the core functionality of the Roo Code Memory Bank system as a Model Context Protocol (MCP) server. It allows AI assistants to maintain project context across sessions by interacting with a file-based memory bank using structured MCP tools.
Features
This MCP server provides the following tools:
initialize_memory_bank: Creates thememory-bank/directory and standard.mdfiles (productContext.md,activeContext.md,progress.md,decisionLog.md,systemPatterns.md) with initial templates.- Input: (Optional)
{ "project_brief_content": string } - Output:
{ "status": "success" | "error", "messages"?: string[], "message"?: string }
- Input: (Optional)
check_memory_bank_status: Checks if thememory-bank/directory exists and lists the.mdfiles within it.- Input:
{} - Output:
{ "exists": boolean, "files": string[] }
- Input:
read_memory_bank_file: Reads the full content of a specified memory bank file.- Input:
{ "file_name": string } - Output:
{ "content": string }or error object.
- Input:
append_memory_bank_entry: Appends a new, timestamped entry to a specified file, optionally under a specific markdown header. Creates the file if it doesn't exist.- Input:
{ "file_name": string, "entry": string, "section_header"?: string } - Output:
{ "status": "success" | "error", "message": string }
- Input:
Prerequisites
- Node.js (v18 or later recommended)
- npm (usually included with Node.js)
- An MCP client environment (like the one used by Cline) capable of managing and launching MCP servers.
Installation
- Clone the repository:
git clone https://github.com/IncomeStreamSurfer/roo-code-memory-bank-mcp-server.git cd roo-code-memory-bank-mcp-server - Install dependencies:
npm install - Build the project:
This compiles the TypeScript code into JavaScript in thenpm run builddist/directory.
Configuration (for Cline MCP Client)
To make this server available to your AI assistant (like Cline), you need to add its configuration to your MCP settings file (e.g., cline_mcp_settings.json).
Find the mcpServers object in your settings file and add the following entry:
{
"mcpServers": {
// ... other server configurations ...
"roo-code-memory-bank-mcp": {
"autoApprove": [
"initialize_memory_bank",
"check_memory_bank_status",
"read_memory_bank_file",
"append_memory_bank_entry"
],
"disabled": false,
"timeout": 60,
"command": "node", // Or "cmd.exe" with "/c node ..." on Windows if needed
"args": [
// IMPORTANT: Replace this path with the actual absolute path
// to the compiled index.js file on your system
"/path/to/your/cloned/repo/roo-code-memory-bank-mcp-server/dist/index.js"
],
"env": {},
"transportType": "stdio"
}
// ... other server configurations ...
}
}
Important: Replace /path/to/your/cloned/repo/ with the correct absolute path to where you cloned the repository on your machine. Ensure the path separator is correct for your operating system (e.g., use backslashes \ on Windows).
Running the Server
You don't typically need to run the server manually. The MCP client (like Cline) will automatically start the server using the command and args specified in the configuration file when one of its tools is called for the first time.
If you want to test it manually, you can run npm start from the project directory.
Usage
The AI assistant interacts with the server using the defined tools. The typical workflow involves:
- Checking the memory bank status (
check_memory_bank_status). - Initializing if needed (
initialize_memory_bank). - Reading relevant files (
read_memory_bank_file) to gain context. - Appending entries (
append_memory_bank_entry) as decisions are made or progress occurs.
The memory-bank/ directory will be created in the same directory where the server process is started (which should be the root of this project directory when launched via the MCP client configuration).
Custom instructions
Set these instructions inside Roo
You must use MCPs where needed
I have a specific MCP flow:
Use context7 to find any relevant documentation pieces you will need for this process, ensure to feed any relevant knoweldege to any relevant subtasks - use context7 at all times to do research on important documentation if you're unsure of something Use google maps mcp in order to search for + - this will allow us to find the basic businesses we need to accomplish our task Use brave search mcp to find URLs to scrape Use fetch mcp with fetch_txt and fetch_markdown to find text and images on pages in order to convert into JSON files and create something in-depth Use openrouter search to find general sentiment of topics, reviews, etc.
Utilize the roo-code-memory-bank-mcp server to maintain project context:
- At the start of a task or significant subtask, use
check_memory_bank_status. - If the memory bank exists (
exists: true), useread_memory_bank_filefor relevant files (e.g.,productContext.md,activeContext.md) to load the current project context. - Incorporate this loaded context into your planning and execution.
- When making significant decisions, progress updates, or architectural changes, use
append_memory_bank_entryto record the information in the appropriate file (decisionLog.md,progress.md, etc.), ensuring context persistence. - If the memory bank doesn't exist, consider using
initialize_memory_bankif appropriate for the project.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.