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.
subnetmarco/pgmcp
PGMCP (PostgreSQL Model Context Protocol Server) is a server designed to connect AI assistants to any PostgreSQL database, enabling natural language queries to retrieve structured SQL results. It supports querying existing PostgreSQL databases without requiring any schema modifications, providing a safe, read-only interface for AI-driven data exploration. The server supports automatic streaming of large query results, robust error handling, and intelligent query understanding, including handling singular vs plural forms and PostgreSQL case sensitivity for mixed-case table names. PGMCP is compatible with various MCP clients such as Cursor, Claude Desktop, VS Code extensions, and any other MCP-compatible clients, facilitating seamless integration with AI assistants and tools. The project offers multiple output formats including table, JSON, and CSV, and supports free-text search across all text columns in the database. It includes production-ready features like security, authentication support, audit logging, SQL guarding to prevent unsafe queries, connection pooling, and memory management. PGMCP can leverage external AI services such as OpenAI API, Anthropic, and local large language models for AI-powered SQL generation, enhancing the natural language to SQL translation capabilities. Installation options include pre-compiled binaries, Homebrew for macOS/Linux, building from source, and containerized deployment via Docker or Kubernetes. The server is configured through environment variables, with the PostgreSQL connection string being mandatory and OpenAI API key optional for AI features. The project also provides example schemas, including a full Amazon-like marketplace schema and a minimal test schema with mixed-case table names to demonstrate case sensitivity handling. Overall, PGMCP enables users and AI assistants to interact with PostgreSQL databases using natural language, making data querying more accessible and efficient without requiring SQL expertise. It is designed to be universal, secure, and production-ready, supporting a wide range of PostgreSQL schemas and use cases.
https://github.com/subnetmarco/pgmcp
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