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agentic-text-to-sql MCP Server

mohdnayif799/agentic-text-to-sql

Score: 56.7 Rank #7210 MCP Server
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An agentic Text-to-SQL system that turns natural language questions into SQL using schema-aware reasoning, query execution, error recovery, and verification. Built with LangGraph and includes a direct LLM baseline for comparison, along with SQL safety controls and evaluation tools.

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Overview

mohdnayif799/agentic-text-to-sql is a Python tool licensed under MIT. An agentic Text-to-SQL system that turns natural language questions into SQL using schema-aware reasoning, query execution, error recovery, and verification. Built with LangGraph and includes a direct LLM baseline for comparison, along with SQL safety controls and evaluation tools.

Ranked #7210 out of 24844 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 3

3 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

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

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

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AgentRank score for mohdnayif799/agentic-text-to-sql
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