Semantically search Databricks docs, APIs, Terraform references, and knowledge base content.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Databricks Docs MCP Server" yet — see the docs or source repo.
Use the Databricks Docs MCP to search for how to create jobs with the Jobs API, and summarize parameters, example requests, and common limits.
Provides relevant doc links and a concise summary of key parameters, sample calls, and caveats for the create job API.
Search the Databricks Terraform provider docs and explain how to define a cluster resource, including a minimal working example.
Returns supporting Terraform documentation and a usable example cluster resource configuration.
Use the research tool to find Databricks knowledge base guidance on cluster startup failures, and organize causes and troubleshooting steps by priority.
Outputs a knowledge-base-backed list of likely causes and prioritized troubleshooting steps for faster diagnosis.
Explore Databricks metadata, run SQL, and analyze lineage for data discovery.
Manage Databricks clusters, jobs, SQL, and catalogs through MCP tools.
Build and deploy a production-ready MCP server for Databricks Apps.
Run, test, and deploy code on Databricks clusters using natural language.
Index docs from websites, repos, and folders for AI search and retrieval.
Search DocSmith documentation and knowledge graphs with semantic, graph, and keyword queries.