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Verodat MCP Server

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by Verodat
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TypeScript
Apache 2.0
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local-only server

The server can only run on the client’s local machine because it depends on local resources.

Integrations

  • Uses Git for source code management and installation.

  • Provides integration with GitHub for issue tracking and community discussions through the Verodat organization.

  • Runs as a Node.js application, requiring v18 or higher for server operation.

Verodat MCP Server

Overview

A Model Context Protocol (MCP) server implementation for Verodat, enabling seamless integration of Verodat's data management capabilities with AI systems like Claude Desktop.

Verodat MCP Server

This repository contains a Model Context Protocol (MCP) server implementation for Verodat, allowing AI models to interact with Verodat's data management capabilities through well-defined tools.

Overview

The Verodat MCP Server provides a standardized way for AI models to access and manipulate data in Verodat. It implements the Model Context Protocol specification, providing tools for data consumption, design, and management.

Tool Categories

The server is organized into three main tool categories, each offering a progressive set of capabilities:

1. Consume (8 tools)

The base category focused on data retrieval operations:

  • get-accounts: Retrieve available accounts
  • get-workspaces: List workspaces within an account
  • get-datasets: List datasets in a workspace
  • get-dataset-output: Retrieve actual data from a dataset
  • get-dataset-targetfields: Retrieve field definitions for a dataset
  • get-queries: Retrieve existing AI queries
  • get-ai-context: Get workspace context and data structure
  • execute-ai-query: Execute AI-powered queries on datasets

2. Design (9 tools)

Includes all tools from Consume, plus:

  • create-dataset: Create a new dataset with defined schema

3. Manage (10 tools)

Includes all tools from Design, plus:

  • upload-dataset-rows: Upload data rows to existing datasets

Prerequisites

  • Node.js (v18 or higher)
  • Git
  • Claude Desktop (for Claude integration)
  • Verodat account and AI API key

Installation

Quick Start

Installing via Smithery

To install Verodat MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Verodat/verodat-mcp-server --client claude

Manual Installation

  1. Clone the repository:
git clone https://github.com/Verodat/verodat-mcp-server.git cd verodat-mcp-server
  1. Install dependencies and build:
npm install npm run build
  1. Configure Claude Desktop: Create or modify the config file:
    • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%/Claude/claude_desktop_config.json

    Add the configuration which is mensioned below in configuration:

Getting Started with Verodat

  1. Sign up for a Verodat account at verodat.com
  2. Generate an AI API key from your Verodat dashboard
  3. Add the API key to your Claude Desktop configuration

Configuration

The server requires configuration for authentication and API endpoints. Create a configuration file for your AI model to use:

{ "mcpServers": { "verodat-consume": { "command": "node", "args": [ "path/to/verodat-mcp-server/build/src/consume.js" ], "env": { "VERODAT_AI_API_KEY": "your-api-key", "VERODAT_API_BASE_URL": "https://verodat.io/api/v3" } } } }

Configuration Options

You can configure any of the three tool categories by specifying the appropriate JS file one at a time in claude:

  • Consume only: Use consume.js (8 tools for data retrieval)
  • Design capabilities: Use design.js (9 tools, includes dataset creation)
  • Full management: Use manage.js (10 tools, includes data upload)

Example for configuring all three categories simultaneously:

{ "mcpServers": { "verodat-consume": { "command": "node", "args": [ "path/to/verodat-mcp-server/build/src/consume.js" ], "env": { "VERODAT_AI_API_KEY": "your-api-key", "VERODAT_API_BASE_URL": "https://verodat.io/api/v3" } }, "verodat-design": { "command": "node", "args": [ "path/to/verodat-mcp-server/build/src/design.js" ], "env": { "VERODAT_AI_API_KEY": "your-api-key", "VERODAT_API_BASE_URL": "https://verodat.io/api/v3" } }, "verodat-manage": { "command": "node", "args": [ "path/to/verodat-mcp-server/build/src/manage.js" ], "env": { "VERODAT_AI_API_KEY": "your-api-key", "VERODAT_API_BASE_URL": "https://verodat.io/api/v3" } } } }

Environment Variables

  • VERODAT_AI_API_KEY: Your Verodat API key for authentication
  • VERODAT_API_BASE_URL: The base URL for the Verodat API (defaults to "https://verodat.io/api/v3" if not specified)

Tool Usage Guide

Available Commands

The server provides the following MCP commands:

// Account & Workspace Management get-accounts // List accessible accounts get-workspaces // List workspaces in an account get-queries // Retrieve existing AI queries // Dataset Operations create-dataset // Create a new dataset get-datasets // List datasets in a workspace get-dataset-output // Retrieve dataset records get-dataset-targetfields // Retrieve dataset targetfields upload-dataset-rows // Add new data rows to an existing dataset // AI Operations get-ai-context // Get workspace AI context execute-ai-query // Run AI queries on datasets

Selecting the Right Tool Category

  • For read-only operations: Use the consume.js server configuration
  • For creating datasets: Use the design.js server configuration
  • For uploading data: Use the manage.js server configuration

Security Considerations

  • Authentication is required via API key
  • Request validation ensures properly formatted data

Development

The codebase is written in TypeScript and organized into:

  • Tool handlers: Implementation of each tool's functionality
  • Transport layer: Handles communication with the AI model
  • Validation: Ensures proper data formats using Zod schemas

Debugging

The MCP server communicates over stdio, which can make debugging challenging. We provide an MCP Inspector tool to help:

npm run inspector

This will provide a URL to access debugging tools in your browser.

Contributing

We welcome contributions! Please feel free to submit a Pull Request.

License

LICENSE file for details

Support

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

An MCP server that integrates Verodat's data management capabilities with AI systems like Claude Desktop, enabling users to manage accounts, workspaces, and datasets, as well as perform AI-powered queries on their data.

  1. Overview
    1. Verodat MCP Server
      1. Overview
      2. Tool Categories
      3. Prerequisites
      4. Installation
      5. Configuration
      6. Tool Usage Guide
      7. Security Considerations
      8. Development
      9. Contributing
      10. License
      11. Support

    Related Resources

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