agenticfabriq/mnemiq

Overview

Open-source text-to-SQL engine written in Python. It is designed to be tuned and measured on your own database, giving developers a way to adapt and evaluate SQL generation. The project is in early stages with a small number of GitHub stars.

Best for

Best for
Developers who want to tune and evaluate text-to-SQL on their own database

Use cases

• Tune text-to-SQL generation on custom database schemas
• Measure SQL generation accuracy against a labeled test set
• Build a natural language query interface for an internal database

How to use

Tested with

ChatGPT

Example client config

{ "mcpServers": { "mnemiq": { "command": "mnemiq", "args": ["serve"] } } }

Notes

Open-source text-to-SQL engine written in Python. It is designed to be tuned and measured on your own database, giving developers a way to adapt and evaluate SQL generation. The project is in early stages with a small number of GitHub stars.

42 stars on GitHub. Last updated 2026-09-21. Licensed Apache-2.0.

Use cases

• Tune text-to-SQL generation on custom database schemas
• Measure SQL generation accuracy against a labeled test set
• Build a natural language query interface for an internal database

Pros

• Open source and self-hostable
• Explicitly focused on tuning and measuring on your own data
• Python-based, fitting common data tooling

Cons

• Very small community with only 42 stars
• Early-stage project, so features and stability may be limited
• No evidence of extensive documentation or examples beyond the repository

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