Verodat MCP Layer Architecture Diagram

Name: Verodat MCP Layer Architecture Diagram
Author: smithery-ai

@smithery-ai

リポジトリ

Verodat MCP Layer Architecture Diagram について

Verodat MCP Server Implementation

#verodat #mcp-server #ai-integration

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

smithery-ai

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Verodat MCP Layer Architecture Diagram?

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.

How to use Verodat MCP Layer Architecture Diagram?

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.

Features of Verodat MCP Layer Architecture Diagram

Lists accounts (get-accounts) and workspaces (get-workspaces).
Creates datasets with schema and validation rules (create-dataset).
Retrieves datasets with filtering (get-datasets).
Fetches actual data records from datasets (get-dataset-output).
Retrieves workspace context including dataset configs (get-ai-context).
Executes AI-powered queries on dataset data (execute-ai-query).

Use cases of Verodat MCP Layer Architecture Diagram

Manage Verodat accounts and workspaces through an AI assistant.
Create, view, and filter dataset schemas and records programmatically.
Perform natural-language queries on dataset data via AI-powered execution.
Integrate Verodat data into AI-driven workflows within Claude Desktop.

FAQ from Verodat MCP Layer Architecture Diagram

What are the dependencies for using this server?

Node.js, Git, and Claude Desktop (for AI integration) are required.

How do I obtain a Verodat AI API key?

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.

Where is the Claude Desktop configuration file located?

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows: %APPDATA%/Claude/claude_desktop_config.json.

How can I debug the MCP server?

Use the MCP Inspector by running npm run inspector in the project directory. It provides a URL with debugging tools.

What transport and authentication does the server use?

The server communicates over stdio with Claude Desktop and authenticates via the VERODAT_AI_API_KEY environment variable specified in the configuration.