MWGMorningwood/Central-Memory-MCP

Overview

A custom fork of the standard Model Context Protocol memory server, adapted to run as an Azure Function with Azure Table storage for persistence. It provides memory management for MCP-compatible AI agents using serverless Azure infrastructure.

Best for

Best for
Developers building MCP-based AI agents on Azure who need a serverless memory backend

Use cases

• Persisting conversation memory for MCP agents on Azure
• Leveraging Azure Functions for scalable MCP memory storage
• Integrating MCP memory with Azure Table storage for cost-effective persistence

Notes

A custom fork of the standard Model Context Protocol memory server, adapted to run as an Azure Function with Azure Table storage for persistence. It provides memory management for MCP-compatible AI agents using serverless Azure infrastructure.

1 stars on GitHub. Last updated 2026-05-11. Licensed MIT.

Use cases

• Persisting conversation memory for MCP agents on Azure
• Leveraging Azure Functions for scalable MCP memory storage
• Integrating MCP memory with Azure Table storage for cost-effective persistence

Pros

• Leverages Azure serverless platform for automatic scaling
• Uses familiar Azure Table storage for simple key-value persistence
• Lightweight fork that directly extends the standard MCP memory server

Cons

• Very low community adoption and limited support (1 star)
• Tied to Azure ecosystem, not portable to other cloud providers
• May lack features and updates compared to the upstream server-memory project

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.