pulsemcp Safe content atomic mcp-remote

Databricks

Databricks MCP Server provides a bridge between AI assistants and Databricks workspaces, enabling interaction with data catalogs, schemas, tables, and SQL warehouses. Built with Go and the Model Context Protocol, it offers tools for listing database objects, executing SQL queries, and retrieving detailed table information through a standardized interface. The server authenticates with Databricks using unified authentication, supports multiple platforms including Linux, Windows, and macOS, and can be easily installed in VS Code through an extension, making it valuable for data analysts and engineers who need to query and analyze Databricks data directly from their AI assistant conversations.

Cognium trust score

50%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/characat0/databricks-mcp-server
Author type: human
Updated: 2026-05-27

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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"