Is the DatabricksMCP MCP server actively maintained?

The DatabricksMCP MCP server was last committed 5d ago and has 0 contributors. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

DatabricksMCP MCP Server

Name: Purvanshsingh/DatabricksMCP
Rating: 3.0 (1 reviews)
Author: Purvanshsingh

Purvanshsingh/DatabricksMCP

Score: 50.9 Rank #4898 MCP Server

Are you the maintainer of Purvanshsingh/DatabricksMCP? Claim this listing →

DatabricksMCP is an open-source Model Context Protocol (MCP) server for Databricks. It lets AI agents securely query Databricks SQL, explore Unity Catalog, run Jobs/Notebooks, and use Vector Search. Designed for governed, auditable workflows, it makes Databricks a first-class MCP integration.

Add AgentRank to Claude Code Discover and compare tools like Purvanshsingh/DatabricksMCP — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Purvanshsingh/DatabricksMCP is a Python MCP server licensed under Apache-2.0. DatabricksMCP is an open-source Model Context Protocol (MCP) server for Databricks. It lets AI agents securely query Databricks SQL, explore Unity Catalog, run Jobs/Notebooks, and use Vector Search. Designed for governed, auditable workflows, it makes Databricks a first-class MCP integration.

Ranked #4898 out of 24850 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0

Score Breakdown

Stars 15% 18

18 stars → early stage

Freshness 25% 5d ago

Last commit 5d ago → actively maintained

Issue Health 25% 0%

0/4 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 2

Description Detailed

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 4 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/Purvanshsingh--DatabricksMCP)](https://agentrank-ai.com/tool/Purvanshsingh--DatabricksMCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/Purvanshsingh--DatabricksMCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/Purvanshsingh--DatabricksMCP" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="Purvanshsingh/DatabricksMCP"></script>

Details

Stars: 18
Forks: 2
Open Issues: 4
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 5d ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

See alternatives to Purvanshsingh/DatabricksMCP → Browse mcp-server category → Compare Purvanshsingh/DatabricksMCP → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

View on GitHub →