Acme
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Implements CEDARScript, a SQL-like language, as an MCP server for code manipulation, showcasing the adaptability of MCP servers for language and code-based tasks.
An MCP server bridging to ClickZetta databases for executing SQL queries, exploring schema information, and documenting insights via natural language interaction.
MCP server that provides SQL analysis, linting, and dialect conversion using SQLGlot.
A server implementing the MCP protocol to connect with Databricks Genie API, enabling LLMs to ask questions, execute SQL, and interact with Databricks conversational agents.
A unified MCP server that enables querying over 40 apps with one binary using SQL. It supports integration with PostgreSQL, MySQL, and SQLite databases, and is designed for privacy and local-first workflows.
A Model Context Protocol server enabling LLMs to interact with SQLite and SQL Server databases, supporting schema inspection and SQL query execution, as an exemplary database MCP server.
A Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API. Enables AI assistants to directly query Databricks data warehouses, analyze schemas, and retrieve structured results.
An MCP server connecting to Databricks API, allowing large language models (LLMs) to run SQL queries, list jobs, and retrieve job status from Databricks environments.
Supabase MCP Server offering SQL query execution and database exploration tools. Provides MCP protocol support for managing data within Supabase environments.