ThinAirTelematics/thinair-data
by Various
Connect your AI assistant to any PostgreSQL, MySQL, or SQL Server database in 60 seconds via MCP.
MCP
ThinAirTelematics/thinair-data
Added 1 June 2026
Overview
ThinAirTelematics/thinair-data is an MCP server that lets AI assistants query PostgreSQL, MySQL, or SQL Server databases. It sets up the connection in about 60 seconds using JavaScript. The tool acts as a bridge between the AI and the database via the Model Context Protocol.
Best for
Best for
Developers who need to give AI assistants direct but controlled database access.
Use cases
- Query a production database from an AI assistant for real-time data retrieval.
- Allow an AI to generate SQL queries on top of existing relational databases.
- Integrate database access into AI-powered workflows without custom backend code.
Notes
ThinAirTelematics/thinair-data is an MCP server that lets AI assistants query PostgreSQL, MySQL, or SQL Server databases. It sets up the connection in about 60 seconds using JavaScript. The tool acts as a bridge between the AI and the database via the Model Context Protocol.
0 stars on GitHub. Last updated 2026-05-05. Licensed MIT.
Use cases
- Query a production database from an AI assistant for real-time data retrieval.
- Allow an AI to generate SQL queries on top of existing relational databases.
- Integrate database access into AI-powered workflows without custom backend code.
Pros
- Quick setup with a claimed 60-second connection time.
- Supports three major SQL databases: PostgreSQL, MySQL, SQL Server.
- Uses the open MCP standard for interoperability with various AI assistants.
Cons
- New project with 0 stars, limited community and documentation.
- Only supports SQL databases, not NoSQL or other data sources.
- Requires an MCP-capable AI assistant to function.
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Quick setup with a claimed 60-second connection time.
- Supports three major SQL databases: PostgreSQL, MySQL, SQL Server.
- Uses the open MCP standard for interoperability with various AI assistants.
Cons
- New project with 0 stars, limited community and documentation.
- Only supports SQL databases, not NoSQL or other data sources.
- Requires an MCP-capable AI assistant to function.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.