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Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
Provides professional, read-only operations and monitoring for PostgreSQL databases, offering performance insights, structure visibility, and configuration details.
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Enables Large Language Models to inspect BigQuery database schemas and execute queries.
Connects MCP-compatible clients to diverse databases like MySQL, PostgreSQL, Oracle, and SQL Server, offering advanced features beyond basic connectivity.
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
Provides a high-performance, Neo4j-compatible graph database designed for AI agents, offering intelligent features like native embeddings, GPU-accelerated search, and automated relationship discovery.
Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Provides safe, read-only access to SQLite databases for exploration and querying by Large Language Models (LLMs).
Enables Language Models (LLMs) to seamlessly connect to and retrieve data from various databases through a unified API.
Empowers AI assistants to interact with Power BI datasets using natural language.
Enables AI assistants to interact with Metabase, providing access to data and analytical tools.
Executes MySQL database queries and streams the results via Server-Sent Events (SSE).
Provides a Model Context Protocol (MCP) server for streamlined PocketBase database interactions.
Connects Large Language Models to Supabase projects using the Model Context Protocol.
Provides API access to Cryo's blockchain data extraction capabilities via the MCP protocol.
Enables AI to perform data analysis on various database types (SQLite, MySQL, PostgreSQL, etc.) through a unified and secure connection configuration.
Implements a Model Context Protocol (MCP) server for Trino in Go, enabling AI assistants to interact with Trino's distributed SQL query engine.
Manages persistent context for AI coding assistants within an MCP server environment.
Provides a command-line interface for managing Tiger Cloud database services and integrates a Model Context Protocol server to assist AI agents in generating production-ready Postgres code.
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