dolthub/dolt
Dolt is a SQL database with Git-like version control capabilities, enabling users to manage, version, and collaborate on data and schemas as easily as code in Git repositories.
LucasHild/mcp-server-bigquery
mcp-server-bigquery is a Model Context Protocol server that gives language models access to Google BigQuery so they can explore data warehouses and answer questions with live query results. Written in Python and distributed through uvx and Smithery, it implements three tools: execute-query, which runs a SQL statement using the BigQuery dialect; list-tables, which lists all tables available in the configured project; and describe-table, which returns the schema of a specific table. This lets an assistant discover what data exists, understand its structure and then query it without a human writing the SQL by hand. The server is configured either through command-line arguments or environment variables. It requires a GCP project ID and location, and optionally accepts a list of specific datasets to restrict its scope, a service account key file for authentication (falling back to default application credentials), and a query timeout that caps how long a query may run. Configuration examples are provided for Claude Desktop, Claude Code, Cursor and automated installation via Smithery. Because it runs queries against real BigQuery datasets, it is aimed at data engineers, analysts and developers who want a coding assistant or chat client to inspect schemas and execute analytical queries directly against their warehouse. The project is small and focused, exposing just enough surface for schema inspection and query execution rather than a full administrative interface.
https://github.com/LucasHild/mcp-server-bigquery
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