What are the dependencies for using this server?
Node.js, Git, and Claude Desktop (for AI integration) are required.
@smithery-ai
Basic information
Verodat MCP Server Implementation
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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Verodat MCP Layer Architecture Diagram is a Model Context Protocol (MCP) server that enables AI systems like Claude Desktop to interact with the Verodat data platform. It provides tools for account and workspace management, dataset operations, and AI-powered queries.
Install Node.js and Git, then clone the repository (git clone https://github.com/ThinkEvolveSolve/verodat-mcp-server.git), install dependencies (npm install), and build (npm run build). Configure the server in Claude Desktop’s claude_desktop_config.json with the path to the built index.js and your Verodat AI API key in the VERODAT_AI_API_KEY environment variable.
get-accounts) and workspaces (get-workspaces).create-dataset).get-datasets).get-dataset-output).get-ai-context).execute-ai-query).Node.js, Git, and Claude Desktop (for AI integration) are required.
Sign up at https://verodat.com, log in, and generate an AI API key from your account settings. Replace `<<your-verodat-ai-api-key>>` in the config file.
On macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`. On Windows: `%APPDATA%/Claude/claude_desktop_config.json`.
Use the MCP Inspector by running `npm run inspector` in the project directory. It provides a URL with debugging tools.
The server communicates over stdio with Claude Desktop and authenticates via the `VERODAT_AI_API_KEY` environment variable specified in the configuration.
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