Which integrations are available for this server?

Searches Databricks documentation, API reference, and knowledge base for topics like Unity Catalog, Genie, SQL warehouses, CLI commands, and troubleshooting. Searches Databricks Terraform provider documentation for resources and data sources.

How do I use Databricks Docs MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Databricks Docs MCP Server Search how to set up Unity Catalog external location" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Databricks Docs MCP Server

by tcrst

Overview Schema Related Servers Score Discussions

Python

Local

Databricks Docs MCP Server

Semantic search over Databricks documentation, API reference, Terraform provider docs, and knowledge base — as an MCP server for Claude Code.

Uses all-mpnet-base-v2 embeddings + ChromaDB with keyword boosting for high-relevance results.

Setup

cd tools/databricks-docs-mcp
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Related MCP server: RooCode-RAG-Lookup

Build the Index

python indexer.py

Clones doc repos, scrapes docs.databricks.com + kb.databricks.com, chunks, embeds, and stores in chroma_data/. Takes ~15 min on first run (uses MPS GPU on Apple Silicon). Skips already-indexed collections on re-run.

Connect to Claude Code

Add to .mcp.json:

{
  "mcpServers": {
    "databricks-docs": {
      "command": "/path/to/tools/databricks-docs-mcp/.venv/bin/python",
      "args": ["/path/to/tools/databricks-docs-mcp/server.py"]
    }
  }
}

Run /mcp in Claude Code to connect.

Tools

Tool	What it searches
`search_databricks_docs`	General docs — Genie, Unity Catalog, warehouses, etc.
`search_databricks_api`	REST API & Python SDK reference
`search_terraform_databricks`	Terraform provider resources
`search_databricks_genai`	GenAI Cookbook — RAG, evaluation, chunking
`search_databricks_cli`	CLI commands, bundles, workspace ops
`search_databricks_kb`	Troubleshooting & known issues
`search_all`	All collections at once
`research`	Deep multi-query research on a topic
`list_collections`	Show collections and chunk counts
`list_pages`	List indexed pages in a collection
`fetch_page`	Get all chunks for a specific page

Doc Sources

Source	Collection	~Chunks
docs.databricks.com	`databricks_docs`	14,200
kb.databricks.com	`databricks_kb`	1,100
terraform-provider-databricks	`terraform_databricks`	2,200
databricks-sdk-py	`databricks_api`	107
genai-cookbook	`databricks_genai`	176
databricks CLI	`databricks_cli`	689

This server cannot be installed

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quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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