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Verodat MCP Server

by Verodat

The Verodat MCP Server is a Model Context Protocol (MCP) server implementation for Verodat, enabling AI models to interact with Verodat's data management capabilities. It provides a standardized way for AI models to access and manipulate data in Verodat.

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What is Verodat MCP Server?

The Verodat MCP Server is a Model Context Protocol (MCP) server that allows AI models, such as Claude Desktop, to interact with Verodat's data management system. It implements the MCP specification, providing a set of tools for data consumption, design, and management within the Verodat ecosystem.

How to use Verodat MCP Server?

To use the Verodat MCP Server, you need to install it either via Smithery or manually by cloning the repository, installing dependencies, and building the project. Then, configure your AI model (e.g., Claude Desktop) with the server's configuration, including the API key and base URL. You can choose to configure different tool categories (Consume, Design, Manage) based on your needs.

Key features of Verodat MCP Server

  • Standardized data access for AI models

  • Integration with Verodat data management capabilities

  • Three tool categories: Consume, Design, and Manage

  • Support for data retrieval, dataset creation, and data upload

  • API key authentication for security

Use cases of Verodat MCP Server

  • Enabling AI models to query and retrieve data from Verodat datasets

  • Allowing AI models to create new datasets within Verodat

  • Facilitating AI-driven data analysis and manipulation in Verodat

  • Integrating Verodat data with AI-powered applications like Claude Desktop

FAQ from Verodat MCP Server

What is the Model Context Protocol (MCP)?

MCP is a specification that defines a standardized way for AI models to interact with external data sources and tools.

What are the prerequisites for installing the Verodat MCP Server?

You need Node.js (v18 or higher), Git, Claude Desktop (for Claude integration), and a Verodat account with an AI API key.

How do I configure the server for Claude Desktop?

You need to modify the Claude Desktop configuration file (claude_desktop_config.json) and add the server configuration, including the command, arguments, and environment variables (API key and base URL).

What are the different tool categories available?

The server offers three tool categories: Consume (data retrieval), Design (dataset creation), and Manage (data upload).

How do I select the right tool category for my needs?

Use the 'consume.js' server configuration for read-only operations, 'design.js' for creating datasets, and 'manage.js' for uploading data.