A PostgreSQL MCP server that provides persistent memory, task tracking, and coordination capabilities for AI assistants. Acts as a super memory hub enabling better context retention and multiagent collaboration.
Janadasroor/pg-mnemosyne-mcp is a Model Context Protocol (MCP) server built on PostgreSQL that functions as a persistent memory system for AI assistants. It enables AI agents to store, retrieve, and manage contextual information across conversations while providing task tracking and multiagent coordination capabilities. This tool solves the problem of AI assistants lacking persistent memory by leveraging a robust PostgreSQL backend.
Installation requires: (1) Python 3.7+ environment, (2) PostgreSQL database setup, (3) Cloning the repository from GitHub, (4) Installing dependencies via pip, (5) Configuring database connection parameters, (6) Starting the MCP server. Detailed instructions are available in the project repository.
Monday.com MCP Server streamlines board management, item operations, and workflow automation for teams. I…
by NotionFlow
Sentry MCP Server provides comprehensive error tracking and performance monitoring, helping developers id…
by AnalyticsPro
Cloudflare MCP Server simplifies Cloudflare management by providing tools for DNS management, Workers dep…
by PricingBot