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MCP Dataverse

@codeurali

基本信息

分类

开发工具

传输方式

stdio

作者

codeurali

提交者

Ali

关于 MCP Dataverse

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Dataverse 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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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