The set of servers and tools in this repo is fluid and will evolve over time. We welcome contributions to this repo - please first read the
The set of servers and tools in this repo is fluid and will evolve over time. We welcome contributions to this repo - please first read the [contributor
An experimental collection of MCP servers to help AI agents fetch enterprise data from Databricks, automate common developer actions on Databricks, etc:
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Overview — The Overview tool exposed by this serverCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"databricks_unity_catalog": {
"command": "/path/to/uv/executable/uv",
"args": [
"--directory",
"/path/to/this/repo",
"run",
"unitycatalog-mcp",
"-s",
"your_catalog.your_schema",
"-g",
"genie_space_id_1,genie_space_id_2"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.