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.
googleapis/mcp-toolbox
MCP Toolbox for Databases is an open-source server built on the Model Context Protocol (MCP) that serves as a crucial bridge between AI agents and diverse enterprise databases. It streamlines the interaction between AI, Integrated Development Environments (IDEs), and applications with various data sources, including Google Cloud databases like AlloyDB, BigQuery, Spanner, and Firestore, as well as popular options such as PostgreSQL, MySQL, Oracle, MongoDB, Elasticsearch, and many others. The toolbox offers a dual functionality: it provides a ready-to-use MCP server with pre-built generic tools for immediate database interaction (e.g., `list_tables`, `execute_sql`), enabling AI assistants or IDEs to query data and generate database-aware code directly. This 'build-time' feature allows developers to quickly integrate with MCP-compatible clients like Gemini CLI or Claude Code. Secondly, it acts as a robust framework for building highly specialized and secure AI tools for production agents. This 'run-time' capability allows for the definition of structured queries, semantic search, and NL2SQL capabilities, ensuring safety and precision. The toolbox emphasizes simplified development, enabling integration with frameworks like LangChain or LlamaIndex in minimal lines of code. It comes with built-in features such as connection pooling, integrated authentication (IAM), and end-to-end observability via OpenTelemetry, enhancing performance and security. Developers can define data sources and custom tools using YAML configurations, giving fine-grained control over the AI's capabilities and access to enterprise data. This project is a re-brand of 'genai-toolbox', aligning its name with its MCP compatibility to serve as a comprehensive solution for AI-database interactions.
https://github.com/googleapis/mcp-toolbox
Also in Databases
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