Is the pg-mnemosyne-mcp MCP server actively maintained?

The pg-mnemosyne-mcp MCP server was last committed 4mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

pg-mnemosyne-mcp MCP Server

Name: Janadasroor/pg-mnemosyne-mcp
Rating: 2.1 (1 reviews)
Author: Janadasroor

Janadasroor/pg-mnemosyne-mcp

Score: 28.1 Rank #20178 Agent Framework

Are you the maintainer of Janadasroor/pg-mnemosyne-mcp? Claim this listing →

🧠 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 professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.

Add AgentRank to Claude Code Discover and compare tools like Janadasroor/pg-mnemosyne-mcp — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Janadasroor/pg-mnemosyne-mcp is a Python MCP server licensed under MIT. 🧠 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 professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.

Ranked #20178 out of 24850 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 3

3 stars → early stage

Freshness 25% 4mo ago

Last commit 4mo ago → stale

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 122 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/Janadasroor--pg-mnemosyne-mcp)](https://agentrank-ai.com/tool/Janadasroor--pg-mnemosyne-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/Janadasroor--pg-mnemosyne-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/Janadasroor--pg-mnemosyne-mcp" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="Janadasroor/pg-mnemosyne-mcp"></script>

Details

Stars: 3
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 4mo ago

Matched Queries

"mcp server""mcp-server"

See alternatives to Janadasroor/pg-mnemosyne-mcp → Browse agent-framework category → Compare Janadasroor/pg-mnemosyne-mcp → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

View on GitHub →