Databricks MCP 服务器

Databricks SDK for Python

Accelerates development with Python for the Databricks Lakehouse, covering all public Databricks REST API operations.

Databricks Agent Tools

Connect AI agents to Databricks for enterprise data access and developer automation.

Databricks Connector

Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.

Databricks

Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.

Databricks

Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).

Databricks

Executes SQL queries against Databricks using the Statement Execution API.

Databricks AI Interface

Enables AI assistants to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.

Databricks

Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.

Databricks

Enables interaction with Databricks workspaces via the Model Context Protocol (MCP).

Databricks

Enables AI assistants to host and interact with Model Context Protocol prompts and tools directly on Databricks Apps.

Databricks Integration Tester

Provides a custom Databricks server to test Model Context Protocol (MCP) integrations and On-Behalf-Of (OBO) authentication.

Databricks Permissions

Manages Databricks permissions, credentials, and Git credentials via the MCP protocol, enabling LLM-powered tools to interact with Databricks.

Bricks Use

Executes Databricks SQL queries and facilitates comparison of table data via a Model Context Protocol server.

Databricks by CData

Enables connecting to Databricks data from applications like Claude Desktop through CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.

Databricks

Integrates AI assistants like Claude with Databricks workspaces by hosting Model Context Protocol prompts and tools on Databricks Apps.

Databricks

Exposes Databricks Unity Catalog metadata and data to AI agents in a deterministic, LLM-friendly format.

Databricks

Exposes Databricks functionality as a Model Completion Protocol (MCP) server, enabling LLM-powered tools to interact with Databricks resources.

Mnienu

Enables AI assistants like Claude to interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools on Databricks Apps.

Custom

Builds and deploys a custom Model Context Protocol server on Databricks Apps, providing two LLM-callable tools for data interaction.

API Registry

Discover, register, and manage external API endpoints through an AI-powered chat interface within Databricks Apps.