Databricks (Lakeflow Connect) — AgentDeals MCP Resource
Databricks (Lakeflow Connect)
is one of 500 resources on the
AgentDeals
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Databricks (Lakeflow Connect) from your client
- Claude Code AgentDeals Resource/Databricks (Lakeflow Connect) run in your project directory
- Claude Desktop AgentDeals Resource/Databricks (Lakeflow Connect) ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor AgentDeals Resource/Databricks (Lakeflow Connect) ~/.cursor/mcp.json
- VS Code AgentDeals Resource/Databricks (Lakeflow Connect) .vscode/mcp.json
- Zed AgentDeals Resource/Databricks (Lakeflow Connect) ~/.config/zed/settings.json
- Windsurf AgentDeals Resource/Databricks (Lakeflow Connect) ~/.codeium/windsurf/mcp_config.json
- Cline AgentDeals Resource/Databricks (Lakeflow Connect) ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI AgentDeals Resource/Databricks (Lakeflow Connect) ~/.gemini/settings.json
- Grok AgentDeals Resource/Databricks (Lakeflow Connect) .mcp.json (in your project root)
- ChatGPT AgentDeals Resource/Databricks (Lakeflow Connect) Settings → Connectors → Advanced → Developer mode
- Claude.ai AgentDeals Resource/Databricks (Lakeflow Connect) Settings → Connectors → Add custom connector
- LangChain AgentDeals Resource/Databricks (Lakeflow Connect) pip install langchain-mcp-adapters
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AgentDeals also offers 6 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 24 September 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.