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Why this server?
Provides access to Redis databases, enabling LLMs to interact with key-value stores.
Why this server?
Enables interaction with Azure Table Storage, allowing querying and managing data in Azure Storage Tables.
Why this server?
Enables LLMs to interact with MongoDB databases, including inspecting collection schemas and executing MongoDB operations.
Why this server?
A Model Context Protocol server that enables LLMs to interact directly with MongoDB databases, allowing users to query collections, inspect schemas, and manage data through natural language.
Why this server?
A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language.
Why this server?
This server enables AI models to interact with MySQL databases through a standardized interface.
Why this server?
This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! It acts as a translator between your AI assistant and your database.
Why this server?
A Model Context Protocol (MCP) server that provides tools for connecting to and interacting with various database systems (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server) through a unified interface.
Why this server?
A lightweight server implementation of the Model Context Protocol that connects Memgraph database with LLMs, allowing users to interact with graph databases through natural language.
Why this server?
A Model Context Protocol server providing LLMs read-only access to PostgreSQL databases for inspecting schemas and executing queries.