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KuzuMem-MCP

A TypeScript implementation of a distributed memory bank as an MCP (Model Context Protocol) tool, storing memories in a KùzuDB graph database with repository and branch filtering capabilities. Branch isolation is achieved by using a graph-unique identifier for entities, enabling a centralized memory bank while allowing repository-specific and branch-specific views. Fully compliant with MCP specification for seamless integration with IDEs and AI agents.

Key Features

  • Unified Tool Architecture - 10 consolidated tools covering all memory bank operations
  • Thread-Safe Singleton Pattern - Ensures each resource is instantiated only once, with proper thread safety
  • Distributed Graph Structure - Follows the advanced memory bank specification using a KùzuDB graph
  • Repository & Branch Awareness - All operations are contextualized by repository name and branch
  • Asynchronous Operations - Uses async/await for better performance
  • Multiple Access Interfaces - Access via CLI and multiple MCP server implementations
  • KùzuDB Backend - Utilizes KùzuDB for graph-based memory storage and querying
  • Fully MCP Compliant - All tools follow the Model Context Protocol for client integration
  • Progressive Results Streaming - Supports streaming for long-running graph operations
  • Client Project Root Isolation - Each client project gets its own isolated database instance

Unified Tools

The system currently broadcasts 10 unified tools that consolidate all memory bank operations (one additional tool is planned):

  1. memory-bank - Initialize and manage memory bank metadata
  2. entity - Create, update, delete, and retrieve all entity types (components, decisions, rules, files, tags)
  3. introspect - Explore graph schema and metadata
  4. context - Manage work session context
  5. query - Unified search across contexts, entities, relationships, dependencies, governance, history, and tags
  6. associate - Create relationships between entities
  7. analyze - Run graph algorithms (PageRank, K-Core, Louvain, Shortest Path)
  8. detect - Detect patterns (strongly/weakly connected components)
  9. bulk-import - Efficient bulk entity import
  10. search - Full-text search across all entity types with KuzuDB FTS integration

For detailed tool documentation, see Unified Tools Documentation.

Documentation

  • Extended Documentation - Architecture and advanced usage patterns
  • Graph Schema - Database schema details

Installation

# Clone the repository
git clone git@github.com:Jakedismo/KuzuMem-MCP.git
cd kuzumem-mcp

# Install dependencies
npm install

# Build the project
npm run build

Configuration

Create a .env file in the root directory:

# Database Configuration
DB_FILENAME="memory-bank.kuzu"

# Server Configuration
HTTP_STREAM_PORT=3001
HOST=localhost

# Debug Logging (0=Error, 1=Warn, 2=Info, 3=Debug, 4=Trace)
DEBUG=1

Add to your IDE’s MCP configuration:

{
  "mcpServers": {
    "KuzuMem-MCP": {
      "command": "npx",
      "args": [
        "-y",
        "ts-node",
        "/absolute/path/to/kuzumem-mcp/src/mcp-stdio-server.ts"
      ],
      "env": {
        "PORT": "3000",
        "HOST": "localhost",
        "DB_FILENAME": "memory-bank.kuzu",
        "HTTP_STREAM_PORT": "3001"
      }
    }
  }
}

Quick Start

1. Initialize Memory Bank

{
  "tool": "memory-bank",
  "operation": "init",
  "clientProjectRoot": "/path/to/your/project",
  "repository": "my-app",
  "branch": "main"
}

2. Create Entities

{
  "tool": "entity",
  "operation": "create",
  "entityType": "component",
  "repository": "my-app",
  "branch": "main",
  "data": {
    "id": "comp-auth-service",
    "name": "Authentication Service",
    "kind": "service",
    "depends_on": ["comp-user-service"]
  }
}

3. Query Dependencies

{
  "tool": "query",
  "type": "dependencies",
  "repository": "my-app",
  "branch": "main",
  "componentId": "comp-auth-service",
  "direction": "dependencies"
}

4. Run Analysis

{
  "tool": "analyze",
  "type": "pagerank",
  "repository": "my-app",
  "branch": "main",
  "projectedGraphName": "component-importance",
  "nodeTableNames": ["Component"],
  "relationshipTableNames": ["DEPENDS_ON"]
}

Testing

# Run unit tests
npm test

# Run E2E tests
npm run test:e2e

# Run specific E2E test
npm run test:e2e:stdio
npm run test:e2e:httpstream

# Run all tests
npm run test:all

Note: Some tests may fail due to the recent refactoring, but the project builds successfully and core functionality is operational.

Architecture

The project follows clean architecture with clear separation of concerns:

  • Database Layer - KùzuDB embedded graph database
  • Repository Layer - Thread-safe singletons for each entity type
  • Memory Operations Layer - Business logic for memory operations (refactored to remove Zod dependencies)
  • Service Layer - Core orchestration and repository management
  • MCP Layer - Unified tool definitions, handlers, and server implementations
  • CLI Layer - Command-line interface

For detailed architecture information, see Extended Documentation.

Agent Development Loop (Rules-Enforced)

When both the repository-level “Always-Applied Workspace Rules” (project_config_updated.md) and the short-term workflow rules (workflow_state_updated.mdc) are active, every IDE or AI agent that communicates with KuzuMem-MCP must follow the five-phase finite-state loop below. Each transition is observable via the unified context tool and is backed by mandatory MCP calls that keep the graph database in sync and governance rules enforced.

  1. ANALYZE – Pull the latest context, inspect 1-hop neighbourhood, and optionally execute a PageRank analysis. Produce a high-level problem statement.
  2. BLUEPRINT – Draft a numbered implementation plan and persist it as a Decision entity (status: proposed, tag architecture). Wait for explicit user approval.
  3. CONSTRUCT – Execute plan steps, apply code edits, and immediately mirror changes through entity, associate, and context tool calls while honouring dependency & tagging rules.
  4. VALIDATE – Run the full test & linter suite. If green, update the Decision to implemented; if red, log context and loop back to CONSTRUCT.
  5. ROLLBACK – Automatically triggered on unrecoverable errors, reverting partial work before returning to ANALYZE.

Phase Diagram

stateDiagram-v2
    [*] --> ANALYZE
    ANALYZE --> BLUEPRINT: blueprint drafted
    BLUEPRINT --> CONSTRUCT: approved
    CONSTRUCT --> VALIDATE: steps complete
    VALIDATE --> DONE: tests pass
    VALIDATE --> CONSTRUCT: tests fail
    CONSTRUCT --> ROLLBACK: unrecoverable error
    ROLLBACK --> ANALYZE

License

Apache-2.0

Contributing

Contributions are welcome! Please ensure:

  • All tests pass (or create issues for failing tests)
  • Code follows the existing style
  • New features include tests
  • Documentation is updated

Future Improvements

  • Full-Text Search - Native keyword-based search using KùzuDB’s FTS extension
  • Vector Embeddings - Semantic similarity search (pending KuzuDB vector column updates)
  • Advanced Graph Algorithms - Additional analysis capabilities
  • Graph Schema Updates - Based on how well the automated development loop works, the graph schema may need to be updated to support new features
  • Complete Semantic Search - Implementation of the semantic-search tool (currently placeholder - KuzuDB Vector Indexes are immutable and would make developing this feature difficult since updating memories wouldn’t update the vector indexes)

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