dbhub and mcp-duckdb-memory-server

These are complements rather than competitors: bytebase/dbhub provides a general-purpose MCP server for multiple SQL databases with production features, while IzumiSy/mcp-duckdb-memory-server offers a lightweight, in-memory analytical database option that could be used alongside it for different query patterns or as a specialized backend within a broader data pipeline.

dbhub
84
Verified
mcp-duckdb-memory-server
61
Established
Maintenance 20/25
Adoption 20/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 8/25
Maturity 25/25
Community 18/25
Stars: 2,287
Forks: 187
Downloads: 73,143
Commits (30d): 30
Language: TypeScript
License: MIT
Stars: 54
Forks: 12
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

About dbhub

bytebase/dbhub

Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

This tool acts as a single point of access for various databases, allowing you to interact with them using AI-powered tools or a web interface. It takes your queries or commands and translates them to different database types like PostgreSQL, MySQL, or SQL Server, providing results in return. Database administrators, developers, and data analysts who work with multiple database systems will find this useful.

database-administration data-management SQL-querying developer-tools multi-database-environments

About mcp-duckdb-memory-server

IzumiSy/mcp-duckdb-memory-server

MCP Memory Server with DuckDB backend

This tool helps large language models (LLMs) remember past conversations and learned facts more effectively. It takes in user interactions, facts, and relationships, and stores them in a structured way that the LLM can easily query. This is for developers building AI agents or applications that need an LLM to maintain a persistent, searchable memory of its interactions.

AI-agent-development LLM-memory conversational-AI knowledge-graph AI-application-development

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