Dataverse-skills — MCP Server by microsoft

by microsoft · MCP Server · ★ 160

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About Dataverse-skills

Dataverse Skills Agent skills and MCP configuration for Microsoft Dataverse — works with Claude Code and GitHub Copilot. These skills teach AI agents how to build and manage Dataverse solutions using natural language. Browse the folder for the full catalog. Prerequisites Microsoft Dataverse environment (included with Power Apps, Dynamics 365, or Power Platform) Python 3.10+ and Node.js 18+ Getting Started Claude Code GitHub Copilot Or via awesome-copilot: What's Included 5 skills covering connection setup, metadata authoring, solution management, Python SDK data operations, and tool routing MCP server configuration for Dataverse Web API access Scripts for authentication and MCP client enablement Templates for CLAUDE.md project files Local Development Clone the repository first: Test

agent-skillsdataversedynamics-365dynamics-crmmcpmcp-serverpluginpower-platform

Quick Facts

Stars160
Forks43
CategoryMCP Server
LicenseMIT
Quality Score73.0270865973232/100
Open Issues22
Last Updated2026-07-02
Created2026-03-11
Platformscli, mcp
Est. Tokens~17k

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Frequently Asked Questions

What is Dataverse-skills?

Dataverse-skills is Microsoft Dataverse skills for AI coding agents. Wraps the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI behind specialist skills for building, querying, deploying, and administering Da. It is categorized as a MCP Server with 160 GitHub stars.

How do I install or use Dataverse-skills?

You can find installation instructions and usage details in the Dataverse-skills GitHub repository at github.com/microsoft/Dataverse-skills. The project has 160 stars and 43 forks, indicating an active community.

What license does Dataverse-skills use?

Dataverse-skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Dataverse-skills?

The top alternatives to Dataverse-skills on Agent Skills Hub include AgentChat, copilot-mcp, lunar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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