by microsoft
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.
# Add to your Claude Code skills
git clone https://github.com/microsoft/Dataverse-skillsGuides for using ai agents skills like Dataverse-skills.
Last scanned: 5/30/2026
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"status": "PASSED",
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}See how Dataverse-skills compares with popular alternatives.
Dataverse-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by microsoft. 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. It has 258 GitHub stars.
Yes. Dataverse-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/microsoft/Dataverse-skills" and add it to your Claude Code skills directory (see the Installation section above).
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Dataverse-skills against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
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.
| Skill | What it does |
|---|---|
| dv-connect | One-time setup that installs the Dataverse CLI, Python SDK, and PAC CLI; authenticates against your Dataverse environment; and registers the Dataverse MCP server with your agent. |
| dv-query | Reads, filters, paginates, and aggregates Dataverse records. Handles natural-language questions like "show me my open deals", multi-page result sets, and pandas DataFrame loading for notebook analysis. |
| dv-data | Single-record CRUD plus bulk import — CSV loads, multi-table imports with foreign-key dependencies, upsert by alternate key, and AI-generated sample data. |
| dv-metadata | Authors and edits the Dataverse data model: tables, columns, relationships, forms, and views. |
| dv-solution | Manages solution lifecycle — create, export, import, promote across environments, and validate deployments. |
| erp-xpp | Handles the Finance and Operations X++ lifecycle: model and metadata authoring, matching SDK installation, compile/build, deployable package deployment, database synchronization, and verification of custom services/APIs, runnable X++ classes, and public OData data entities. |
| erp-sql | Requests explicitly approved temporary Reader-only SQL access to Finance and Operations unified development environments (UDEs), verifies sqlcmd connectivity, and reads user-selected physical tables with bounded previews and reusable sessions, without exposing the password. |
| dv-admin | Environment-level administration: bulk delete, retention/archival, organization settings, OrgDB settings, recycle bin, audit, and the allowlisted PPAC toggles. |
| dv-security | Assigns security roles, manages user access, adds application users, configures business units, and handles admin self-elevation. |
| dv-overview | Cross-cutting rules and tool routing; loaded before any other skill to direct each request to the right specialist. |
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 works with any agent that reads local skills. JetBrains IDEs also have a native listing -- see JetBrains IDEs. 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.
Requires JetBrains AI Assistant with Claude Agent or Codex.
Then ask the agent to "Connect to Dataverse" to install the full dv-* skill set and set up authentication and MCP. The listing is published at JetBrains/skills.
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 opencode@microsoft.com with any additional questions or comments.