zeschi/verodat-mcp-server

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Verodat MCP Server Implementation

概览

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

README

以下为原文 README 节选，完整内容请查看原文。

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

Clone the repository:

git clone https://github.com/Verodat/verodat-mcp-server.git
cd verodat-mcp-server

Install dependencies and build:

npm install
npm run build

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

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

Configuration

在 GitHub 查看完整 README

安装

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

新手？先看 mcpskill.org 教程 →

配置

{
  "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"
      }
    }
  }
}