Central-Memory-MCP

Central Memory MCP Server

Model Context Protocol (MCP) memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for AI assistants in VS Code.
Inspired by and forked from @modelcontextprotocol/server-memory

🚀 Quick Start

npm install
func start

VS Code Integration

Install recommended extensions from .vscode/extensions.json
MCP configuration is ready in .vscode/mcp.json
Use #memory-test tools in VS Code Copilot chat

Note: All MCP tools now use object parameters instead of JSON strings for better type safety and ease of use.

Test the Server

# Health check
curl http://localhost:7071/api/health

# Use in VS Code Copilot with object parameters:
# #memory-test_create_entities
# #memory-test_read_graph
# #memory-test_search_entities

Example Usage in VS Code Copilot

Create an entity:
#memory-test_create_entities workspaceId="my-project" entities={"name": "Alice", "entityType": "Person", "observations": ["Software engineer"]}

Create a relation:
#memory-test_create_relations workspaceId="my-project" relations={"from": "Alice", "to": "React Project", "relationType": "worksOn"}

Search entities:
#memory-test_search_entities workspaceId="my-project" name="Alice"

🔧 MCP Tools

Core Operations:

create_entities - Create single entity with observations
create_relations - Create single relationship between entities
read_graph - Read the entire knowledge graph
search_entities / search_relations - Search by name/type
add_observation - Add observations to existing entities
update_entity - Update entity observations and metadata
delete_entity - Remove entity and all its relations
get_stats - Get workspace statistics
clear_memory - Clear all workspace data

Advanced Features:

get_temporal_events - Time-based activity tracking
merge_entities - Merge duplicate entities
detect_duplicate_entities - Find potential duplicates
execute_batch_operations - Batch multiple operations
get_user_stats - Get user-specific statistics
search_relations_by_user - Find relations by user

🏗️ Architecture

Built with:

Azure Functions v4 with TypeScript
Azure Table Storage for persistent data (via Azurite locally)
Model Context Protocol (MCP) for VS Code integration
Workspace isolation - each project gets separate storage

� Project Structure

src/
├── functions/         # Azure Functions endpoints
├── services/          # Business logic (storage, entities, relations)
├── types/             # TypeScript definitions
└── index.ts           # Main entry point

📚 Documentation

For detailed information, see the .docs/ folder:

Architecture Guide - Technical design and patterns
API Reference - Complete endpoint documentation
Storage Guide - Storage configuration and workspace management
Deployment Guide - Production deployment options

🔒 Production Notes

Uses Azure Table Storage with managed identity for security
Workspace isolation prevents data leakage between projects
Health endpoints for monitoring and container orchestration
Automatic fallback to local storage for development

📝 License

MIT License - see LICENSE file for details.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Model Context Protocol (MCP) memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for your preferred MCP client. Inspired by and forked from @modelcontextprotocol/server-memory

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