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MCP Dataverse

@codeurali

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

codeurali

投稿者

Ali

MCP Dataverse について

Give your AI agents real-time access to Dataverse — query records with OData & FetchXML, manage metadata, inspect solutions, run batch operations, audit changes, and more. Zero-config auth via Microsoft device code flow.

#dataverse#database#microsoft#power-platform#d365

MCP Dataverse の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-dataverse": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-dataverse"
      ],
      "env": {
        "DATAVERSE_ENV_URL": "<YOUR_DATAVERSE_ENV_URL>"
      }
    }
  }
}

MCP Dataverse のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Mcp Dataverse?

Mcp Dataverse is a Model Context Protocol (MCP) server that gives AI assistants like Claude, Cursor, or Copilot direct access to Microsoft Dataverse environments. It is designed for Power Platform and Dynamics 365 developers who want to explore, analyze, debug, and test Dataverse environments using natural language instead of manually navigating the Power Platform interface or writing scripts.

How to use Mcp Dataverse?

Install the MCP server and configure it with your MCP-compatible client. Authentication currently uses Dataverse access tokens for development environments. Full documentation and installation instructions are available at https://codeurali.github.io/mcp-dataverse/.

Key features of Mcp Dataverse

  • Query Dataverse tables and records
  • Inspect metadata and schema
  • Retrieve plugin traces for debugging
  • Explore environment configuration
  • Generate structured responses for AI agents

Use cases of Mcp Dataverse

  • Analyzing complex Dataverse environments
  • Debugging production issues
  • Generating test data or queries
  • Understanding unfamiliar Dataverse schemas

よくある質問

1

How does Mcp Dataverse differ from manually using the Power Platform interface?

It allows developers to perform Dataverse tasks using natural language AI requests instead of manually navigating the interface or writing repetitive scripts.

2

What authentication does Mcp Dataverse use?

It currently uses Dataverse access tokens, with future versions planned to support Azure authentication flows.

3

What are the runtime or dependency requirements?

It requires an MCP-compatible client (such as Claude, Cursor, or Copilot) and access to a Microsoft Dataverse environment.

4

Where does the data queried by Mcp Dataverse reside?

All data lives in the connected Microsoft Dataverse environment.

5

Are there any known limitations?

The README does not list other limitations beyond the current token-based authentication approach.

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