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.
The Weaviate MCP Server is a specialized integration designed to bring Model Context Protocol (MCP) functionalities into the Weaviate vector search environment. This project enhances Weaviate by enabling context-aware data insertion and hybrid search capabilities, which are crucial for advanced data retrieval and management in vector databases. The server acts as a bridge that allows users to insert objects into Weaviate with contextual awareness, improving the relevance and accuracy of the stored data. Additionally, it supports hybrid search queries, combining vector search with traditional keyword-based search methods to provide more comprehensive and precise search results. The project includes tools for inserting single objects into the Weaviate database and querying the database using hybrid search techniques. The insertion tool accepts JSON-formatted data representing the object to be stored, while the query tool allows retrieval of objects based on a combination of vector similarity and keyword matching. This dual approach leverages the strengths of both semantic vector search and conventional search paradigms. The server is built with simplicity in mind, as indicated by the straightforward build and run instructions using make commands. This suggests ease of deployment and testing, making it accessible for developers looking to integrate MCP functionalities into their Weaviate instances. The project is particularly relevant for applications requiring enhanced search capabilities that consider the context of data, such as knowledge graphs, recommendation systems, and AI-driven data exploration platforms. Overall, the Weaviate MCP Server represents a significant step towards more intelligent and context-aware vector search environments by embedding MCP protocols directly into Weaviate, thereby expanding its utility and effectiveness in handling complex data queries.
https://github.com/weaviate/mcp-server-weaviate
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.
DBX is a lightweight, cross-platform database client supporting over 70 databases, featuring a built-in AI assistant, MCP Server, and available as desktop, Docker, or CLI.
Open-source generative BI engine that exposes governed text-to-SQL, a semantic layer and dashboard generation to AI agents through an MCP server and CLI across more than twenty data sources.
MCP Toolbox for Databases is an open-source Model Context Protocol (MCP) server that connects AI agents, IDEs, and applications directly to enterprise databases, offering both pre-built and custom ...
The Notion MCP Server is an official MCP server implementation that enables secure, programmatic interaction with Notion content through MCP commands, optimized for AI agents and supporting multiple deployment options.
DBHub is a universal database gateway implementing the Model Context Protocol (MCP) server interface, enabling MCP clients to connect to and explore multiple database systems including MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, and SQLite.
Postgres MCP Pro is an open-source Model Context Protocol server for PostgreSQL that provides advanced database health monitoring, index tuning, query plan analysis, and safe SQL execution to support AI agents and developers throughout the application lifecycle.
Supabase MCP Server connects Supabase projects to AI assistants using the Model Context Protocol, enabling LLMs to manage and query Supabase resources.