pulsemcp scanned Safe content atomic mcp-remote

Databricks

Databricks MCP Server provides a bridge between AI assistants and Databricks services through a standardized interface. It enables interaction with Databricks clusters, jobs, notebooks, DBFS, and SQL workspaces via tools that wrap the Databricks REST API. The server follows the stdio transport protocol, making it compatible with Claude Desktop integration, and includes comprehensive error handling and logging. Particularly valuable for data scientists and engineers who need to manage Databricks resources, execute queries, or automate workflows without leaving their conversation interface.

Cognium trust score

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Scanned

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/justtryai/databricks-mcp-server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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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.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"