"Information about Databricks platform or services" matching MCP servers:

Exposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.

Safe, read-only SQL analytics for AI agents over MCP, enabling exploration, profiling, and querying of data without mutation risk.

databricks-mcp-server

Enables AI assistants to interact with the Databricks platform through 263 tools and 8 prompt templates, covering Unity Catalog, SQL, Compute, Jobs, Pipelines, and more.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication, allowing users to execute SQL queries, manage clusters, create jobs, and access workspace resources through natural language.

Enables AI assistants like Claude to interact with Databricks workspaces through custom prompts and tools. Supports running SQL queries, managing clusters, creating jobs, and accessing workspace resources via the Databricks SDK.

Enables AI assistants like Claude to interact with Databricks workspaces through a secure MCP server running on Databricks Apps. Supports custom prompts and tools using the Databricks SDK.

Enables AI assistants like Claude to interact with Databricks workspaces through custom prompts and tools. Supports cluster management, SQL execution, and workspace operations with OAuth authentication.

A FastAPI-based server that provides tools for local file management and Databricks operations, enabling users to create/edit files locally and interact with Databricks clusters, jobs, and DLT pipelines.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables comprehensive search and browsing of Berlin city services. Also supports PDF form discovery, analysis, and filling with resilient caching.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for workspace management, and SQL query execution via a deployable MCP server on Databricks Apps.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Exposes Azure Databricks Jobs tools (list, run, get output) with Entra ID authentication and OBO flow for per-user context.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.