Memory Bank MCP
Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different aspects of project knowledge, from high-level goals to technical details and day-to-day progress.
Features
- AI-Generated Documentation: Leverages Gemini API to automatically generate comprehensive project documentation
- Structured Knowledge System: Maintains six core document types in a hierarchical structure
- MCP Integration: Implements the Model Context Protocol for seamless integration with AI assistants
- Customizable Location: Specify where you want your Memory Bank directory created
- Document Templates: Pre-defined templates for project brief, product context, system patterns, etc.
- AI-Assisted Updates: Update documents manually or regenerate them with AI assistance
- Advanced Querying: Search across all documents with context-aware relevance ranking
Installation
Usage
Development Mode
Production Mode
MCP Configuration
To integrate Memory Bank with the Model Context Protocol (MCP), add the following configuration to your
mcp.json file:Replace
/path/to/memory-bank-mcp/dist/index.js with the absolute path to your built index.js file, and add your Gemini API key (if applicable).Example:
MCP Tools
Memory Bank MCP provides the following tools via the Model Context Protocol:
`initialize_memory_bank`
Creates a new Memory Bank structure with all document templates.
Parameters:
goal(string): Project goal description (min 10 characters)
geminiApiKey(string, optional): Gemini API key for document generation
location(string, optional): Absolute path where memory-bank folder will be created
Example:
`update_document`
Updates a specific document in the Memory Bank.
Parameters:
documentType(enum): One of:projectbrief,productContext,systemPatterns,techContext,activeContext,progress
content(string, optional): New content for the document
regenerate(boolean, default: false): Whether to regenerate the document using AI
Example:
`query_memory_bank`
Searches across all documents with context-aware relevance ranking.
Parameters:
query(string): Search query (min 5 characters)
Example:
`export_memory_bank`
Exports all Memory Bank documents.
Parameters:
format(enum, default: "folder"): Export format, either "json" or "folder"
outputPath(string, optional): Custom output path for the export
Example:
Document Types
Memory Bank organizes project knowledge into six core document types:
- Project Brief (
projectbrief.md): Core document defining project objectives, scope, and vision
- Product Context (
productContext.md): Documents product functionality from a user perspective
- System Patterns (
systemPatterns.md): Establishes system architecture and component relationships
- Tech Context (
techContext.md): Specifies technology stack and implementation details
- Active Context (
activeContext.md): Tracks current tasks, open issues, and development focus
- Progress (
progress.md): Documents completed work, milestones, and project history
License
MIT
Memory Bank MCP
Memory Bank is an MCP server that helps teams create, manage, and access structured project documentation. It generates and maintains a set of interconnected Markdown documents that capture different aspects of project knowledge, from high-level goals to technical details and day-to-day progress.
Features
- AI-Generated Documentation: Leverages Gemini API to automatically generate comprehensive project documentation
- Structured Knowledge System: Maintains six core document types in a hierarchical structure
- MCP Integration: Implements the Model Context Protocol for seamless integration with AI assistants
- Customizable Location: Specify where you want your Memory Bank directory created
- Document Templates: Pre-defined templates for project brief, product context, system patterns, etc.
- AI-Assisted Updates: Update documents manually or regenerate them with AI assistance
- Advanced Querying: Search across all documents with context-aware relevance ranking
Installation
Usage
Development Mode
Production Mode
MCP Configuration
To integrate Memory Bank with the Model Context Protocol (MCP), add the following configuration to your
mcp.json file:Replace
/path/to/memory-bank-mcp/dist/index.js with the absolute path to your built index.js file, and add your Gemini API key (if applicable).Example:
MCP Tools
Memory Bank MCP provides the following tools via the Model Context Protocol:
`initialize_memory_bank`
Creates a new Memory Bank structure with all document templates.
Parameters:
goal(string): Project goal description (min 10 characters)
geminiApiKey(string, optional): Gemini API key for document generation
location(string, optional): Absolute path where memory-bank folder will be created
Example:
`update_document`
Updates a specific document in the Memory Bank.
Parameters:
documentType(enum): One of:projectbrief,productContext,systemPatterns,techContext,activeContext,progress
content(string, optional): New content for the document
regenerate(boolean, default: false): Whether to regenerate the document using AI
Example:
`query_memory_bank`
Searches across all documents with context-aware relevance ranking.
Parameters:
query(string): Search query (min 5 characters)
Example:
`export_memory_bank`
Exports all Memory Bank documents.
Parameters:
format(enum, default: "folder"): Export format, either "json" or "folder"
outputPath(string, optional): Custom output path for the export
Example:
Document Types
Memory Bank organizes project knowledge into six core document types:
- Project Brief (
projectbrief.md): Core document defining project objectives, scope, and vision
- Product Context (
productContext.md): Documents product functionality from a user perspective
- System Patterns (
systemPatterns.md): Establishes system architecture and component relationships
- Tech Context (
techContext.md): Specifies technology stack and implementation details
- Active Context (
activeContext.md): Tracks current tasks, open issues, and development focus
- Progress (
progress.md): Documents completed work, milestones, and project history
License
MIT