C
Emerging
74/100
20 days ago

Databricks MCP Server

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.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

mikephelankk-hub

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: DATABRICKS_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configDATABRICKS_APP_PORT
configDATABRICKS_HOSTexport ="https://your-workspace.cloud.databricks.com"
🔐 secretDATABRICKS_TOKENyour-token # For local development
configDATABRICKS_SQL_WAREHOUSE_IDyour-warehouse-id # For SQL tools
configDATABRICKS_CONFIG_PROFILE
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

4/4 tools missing one or more hints — health (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); execute_dbsql (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_warehouses (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

2/4 tool handlers declare input schemas (50%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

3/4 tool handlers wrap calls in try/catch (75%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

Shell command execution

4 child_process calls — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/mikephelankk-hub-databricks-custom-mcp-databricks-app-1fv04p)](https://m8ven.ai/mcp/mikephelankk-hub-databricks-custom-mcp-databricks-app-1fv04p)
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commit: 64fc101ad6727aa9df4ca78d884ce96ef5fd1376
code hash: 8e8fa5d943e058a9f7d798794af307583b95cbdada059c22a1594578ec4709f9
verified: 8/2/2026, 9:15:20 AM
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