MCP helpers for Databricks
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"databricks-mcp-2","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Databricks MCP Library The `databricks-mcp` package provides useful helpers to integrate MCP Servers in Databricks ## Installation ### From PyPI ```sh pip install databricks-mcp ``` ### From Source ```sh pip install git+https://git@github.com/databricks/databricks-ai-bridge.git#subdirectory=databricks_mcp ``` ## Key Features - **OAuth Provider**: Enables authentication across Databricks Notebooks, Model Serving, and local environments using the Databricks CLI. --- ## Contribution Guide We welcome contributions! Please see our [contribution guidelines](https://github.com/databricks/databricks-ai-bridge/tree/main/mcp) for details. ## License This project is licensed under the [MIT License](LICENSE). Thank you for using MCP Servers on Databricks!
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.