{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/2"}],"enrichment":{"capability":"Provides helpers and utilities to integrate MCP (Model Context Protocol) servers with Databricks environments, including OAuth authentication support across notebooks, model serving, and local development.","skillfed_tags":["mcp-integration","databricks-ecosystem","oauth-helpers"],"use_cases":["Authenticate MCP servers running in Databricks notebooks without manually managing Databricks CLI credentials.","Deploy MCP servers to Databricks Model Serving with pre-configured OAuth and environment detection.","Develop and test MCP servers locally while maintaining compatibility with Databricks authentication flows.","Integrate MLflow-tracked models with MCP servers in a Databricks workspace.","Build AI agents that use MCP for tool access while running on Databricks infrastructure."],"what_it_does":"databricks-mcp is a lightweight integration library that bridges MCP (Model Context Protocol) servers with Databricks platforms. It provides OAuth authentication helpers that work across Databricks Notebooks, Model Serving endpoints, and local development environments using the Databricks CLI, reducing boilerplate for developers building AI applications that need to run in multiple Databricks contexts.\n\nThe package is designed for teams already using Databricks and MLflow who want to adopt MCP servers without reimplementing authentication and environment-specific setup. It sits between your MCP server code and Databricks' runtime, handling the credential and context plumbing so you can focus on the protocol logic itself.","worth_installing":"Yes, if you are building MCP servers for Databricks environments. The package solves a real integration gap\u2014OAuth and environment detection across three distinct Databricks contexts\u2014and carries no security vulnerabilities or license friction. Install friction is low and maintenance is active. Not relevant for non-Databricks MCP work."},"id":"databricks-mcp","links":{"html":"https://skillfed.io/packages/databricks-mcp","md":"https://skillfed.io/packages/databricks-mcp.md","pypi":"https://pypi.org/project/databricks-mcp/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-31","license_spdx":null,"license_treatment":"permissive","name":"databricks-mcp","python_support":"supports_current","summary":"MCP helpers for Databricks"},"popularity":{"monthly_downloads":1318984,"position":4066,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.9.2"}