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.

@codeurali
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.
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>"
}
}
}
}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。
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.
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/.
It allows developers to perform Dataverse tasks using natural language AI requests instead of manually navigating the interface or writing repetitive scripts.
It currently uses Dataverse access tokens, with future versions planned to support Azure authentication flows.
It requires an MCP-compatible client (such as Claude, Cursor, or Copilot) and access to a Microsoft Dataverse environment.
All data lives in the connected Microsoft Dataverse environment.
The README does not list other limitations beyond the current token-based authentication approach.

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