pulsemcp verified Safe content atomic mcp-remote

Databricks

This Databricks MCP server enables AI assistants to execute SQL queries against Databricks using the Statement Execution API. Built with Python using FastMCP, it provides tools for executing SQL queries, listing schemas and tables, and describing table schemas. The implementation handles authentication through environment variables, manages long-running queries with polling, and formats query results into readable tables. It's designed to work with Cursor and other MCP clients, making it ideal for data exploration, analysis, and complex tasks when coupled with Unity Catalog Metadata.

Cognium trust score
96%
Tier
Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
database
Source
PulseMCP
Author type
human
Last scanned
2026-09-19
Updated
2026-09-19
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MCP

Resolve Databricks from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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