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Enables AI models to interact with FalkorDB graph databases using natural language queries and commands.
Bridges Large Language Models (LLMs) with databases using a Model Context Protocol (MCP) server.
Exposes Django project information through the Model Context Protocol (MCP) to enable AI assistants to better understand and interact with Django codebases.
Empower AI assistants to create, modify, and manage database diagrams programmatically through a WebSocket API.
Provides a comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database.
Provides LLMs with access to and knowledge about databases via a Model Context Protocol (MCP) server.
Provides secure MySQL database operations for AI assistants and other Model Context Protocol (MCP) clients.
Enables users to query SQL Server databases using natural language and receive structured SQL responses.
Enables AI models to perform semantic searches for Star Wars planets using Couchbase's vector search.
Retrieves real-time information from Pure Storage FlashBlade arrays.
Enables searching transcript segments using vector similarity via a Model Context Protocol (MCP) server.
Enables AI agents to query network monitoring data from ntopng using the Model Context Protocol.
Provides access to Lark Bitable through the Model Context Protocol, enabling interaction with Bitable tables using predefined tools.
Provides a simple API for interacting with MySQL databases, including executing queries, managing table structures, and manipulating data.
Queries and analyzes Wazuh security logs stored in OpenSearch.
Executes SQL queries against Google BigQuery, providing query validation and safe execution features.
Connects to a Neo4j graph database using environment variables for configuration.
Enables LLMs to manage indices and execute queries against Elasticsearch clusters.
Provides secure BigQuery access across multiple Google Cloud projects with advanced analytics and robust security controls.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
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