Janadasroor/pg-mnemosyne-mcp
by Various
🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a profe
MCP
Janadasroor/pg-mnemosyne-mcp
Added 1 June 2026
Overview
A PostgreSQL-backed MCP server that provides persistent memory, task tracking, and dynamic database management for AI agents. It uses connection pooling and a shared multi-agent coordination hub to prevent coding conflicts in real-time.
Best for
Best for
Developers building multi-agent systems that need persistent memory and task coordination
Use cases
- Give AI agents long-term memory across sessions
- Track and manage tasks with a professional schema
- Coordinate multiple agents to avoid code conflicts
Notes
A PostgreSQL-backed MCP server that provides persistent memory, task tracking, and dynamic database management for AI agents. It uses connection pooling and a shared multi-agent coordination hub to prevent coding conflicts in real-time.
0 stars on GitHub. Last updated 2026-05-26. Licensed MIT.
Use cases
- Give AI agents long-term memory across sessions
- Track and manage tasks with a professional schema
- Coordinate multiple agents to avoid code conflicts
Pros
- Built-in connection pooling for efficient database access
- Shared coordination hub prevents real-time conflicts
- Professional tasks schema for structured tracking
Cons
- Requires a running PostgreSQL instance
- Zero stars and limited community adoption
- No clear documentation on setup or usage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Built-in connection pooling for efficient database access
- Shared coordination hub prevents real-time conflicts
- Professional tasks schema for structured tracking
Cons
- Requires a running PostgreSQL instance
- Zero stars and limited community adoption
- No clear documentation on setup or usage
Pairs with
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