Power your agent
การติดตั้งจากผู้เผยแพร่ ไม่ใช่เอนด์พอยต์ของ PlugMCP
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รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
Build, query, and manage Microsoft Dataverse and linked Dynamics 365 Finance and Operations environments through natural language. The plugin teaches AI coding agents to drive the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI — from designing data models and answering CRM questions to deploying Dataverse solutions and Finance and Operations deployable packages.
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 Dataverse environments.
Browse .github/plugins/dataverse/skills/ for the full source.
A Microsoft Dataverse environment, available through Power Apps, Dynamics 365, or Power Platform plans, or via the free Power Apps Developer Plan.
One command installs all Dataverse skills and lets you choose which agent(s) to add them to:
npx skills add microsoft/Dataverse-skills -s "*"
-s "*" installs every Dataverse skill (skips the per-skill prompt).-g to install globally so the skills are available in every project on your machine:npx skills add microsoft/Dataverse-skills -s "*" -g
This is the recommended path for JetBrains IDEs (PyCharm, Rider) via Codex or Claude, and works with any agent that reads local skills. After installing, ask your agent to "Connect to Dataverse" — the dv-connect skill fetches the helper scripts and walks through authentication and MCP registration.
The per-marketplace installs below are alternatives for agents that have a dedicated plugin listing.
/plugin install dataverse@awesome-copilot
/plugin install dataverse@claude-plugins-official
Install the extension from the public repository. Gemini CLI selects the generic extension archive attached to the latest GitHub Release:
gemini extensions install https://github.com/microsoft/Dataverse-skills --skip-settings
gemini extensions config dataverse DATAVERSE_URL --scope workspace
Enter the Dataverse environment URL when the configuration command prompts. The value is stored in local Gemini extension settings and is not committed to the repository. Restart Gemini after installation, then verify discovery:
/extensions list
/skills list
gemini mcp list
Update or uninstall the extension with:
gemini extensions update dataverse
gemini extensions uninstall dataverse
The release archive is generated from .github/plugins/dataverse/ when a new
plugin version reaches main; the repository does not track a second skills or
scripts tree.
Codex app and ChatGPT
dataverse plugin and select Install.Codex CLI
Install directly from the OpenAI-curated marketplace:
codex plugin add dataverse@openai-curated
Alternatively, run /plugins, search for Microsoft Dataverse, and install
dataverse from the openai-curated marketplace.
From agent chat
/add-plugin dataverse
From the marketplace UI
The listing is published at cursor.com/marketplace/microsoft-dataverse.
Install the native plugin directly from its canonical directory in this repository:
agy plugin install https://github.com/microsoft/Dataverse-skills/tree/main/.github/plugins/dataverse
If the Gemini extension is already installed, import the same plugin with
agy plugin import gemini instead.
Restart agy, then use /skills to verify discovery. Invoke /dv-connect to
select an environment and register the Dataverse MCP server with agy mcp add;
verify it with agy mcp list after restarting.
After installation, ask your agent:
"Connect to Dataverse"
The dv-connect skill walks through tool checks, authentication, and MCP registration. When it finishes, you should see a dataverse-<orgname> MCP server (or Gemini's bundled dataverse server), and pac auth list should show your active environment.
After the connect flow finishes, describe what you want — the plugin picks MCP, the Dataverse CLI, the Python SDK, or PAC CLI for you.
The plugin is designed around a least-privilege model — it cannot exceed the permissions of the authenticated user. Key safeguards:
For the full safety model — including confirmation flows, logging, irreversible operation handling, and planned improvements — see docs/safety-and-guardrails.md.
We welcome contributions — new skills, improvements to existing ones, and bug fixes. See CONTRIBUTING.md for guidelines and local-development instructions.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
This project is licensed under the MIT License.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
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
ภาพรวม
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 Dataverse environments.
เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Dataverse Skills ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-13 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 Dataverse environments.
