How do I use Datalog Studio MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Datalog Studio MCP Server Show me the schema for the users table in the Analytics project" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Datalog Studio MCP Server

This MCP server allows you to integrate with the Datalog Studio REST API. It provides tools to explore projects, tables, columns, and assets, as well as tools to upload content.

Features

List Projects: Discover available projects in your workspace.
List Tables: View collections and data structures within a project.
List Columns: Understand the schema and AI prompt templates for each table.
List Assets: See uploaded documents and files.
Upload Content: Push plain text directly into a collection for AI processing.

Setup

Environment Variables

DATALOG_API_KEY: Your Datalog Studio API Key (e.g., catalog_ak_...).

Installation

cd datalog-mcp-server npm install npm run build

Integration with gemini-cli

Add the following to your MCP configuration (e.g., ~/.config/gemini-cli/mcp.json or similar):

{ "mcpServers": { "datalog": { "command": "node", "args": ["/absolute/path/to/datalog-mcp-server/dist/index.js"], "env": { "DATALOG_API_KEY": "YOUR_API_KEY" } } } }