by eosho · MCP Server · ★ 216
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A natural language to SQL (NL2SQL) platform built on LangGraph and Azure OpenAI. This multi-agent system automatically routes user questions to the appropriate database backend and generates optimized SQL queries and results. Built on top of LangChain's with extended support for Azure AD authentication, Cosmos DB, and built-in dialect validation. Features Multi-Database Support: PostgreSQL, Azure SQL, Azure Synapse, Azure Cosmos DB, Databricks SQL, and Google BigQuery Intent Detection: Automatically routes queries to the correct data agent based on question context Multi-Turn Conversations: Follow-up questions with context awareness (e.g., "What's the average?" after a query) SQL Validation: Safe query execution with sqlglot-based validation across all dialects Data Visualization: Generate charts and graphs from query results using natural language (e.g., "show me a bar chart") Configurable Agents: YAML-based configuration for adding new data sources A2A Protocol
| Stars | 216 |
| Forks | 33 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 40.2/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-14 |
| Created | 2025-12-22 |
| Platforms | mcp, python |
| Est. Tokens | ~135k |
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langchain_data_agent is NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.. It is categorized as a MCP Server with 216 GitHub stars.
langchain_data_agent is primarily written in Python. It covers topics such as a2a, a2a-protocol, ai-agents.
You can find installation instructions and usage details in the langchain_data_agent GitHub repository at github.com/eosho/langchain_data_agent. The project has 216 stars and 33 forks, indicating an active community.
langchain_data_agent is released under the MIT license, making it free to use and modify according to the license terms.
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