By microsoft
Manage Microsoft Dataverse environments programmatically: perform CRUD and bulk data operations, define and evolve data models, run advanced queries with pandas, administer environments (bulk delete, audit, settings), assign security roles, and handle solution lifecycle across environments via Python SDK, Web API, and PAC CLI.
Security-role assignment, user access, application users, business units, and admin self-elevation in Dataverse environments. Use when the user wants to give someone access, grant a role, become an admin, or add a service principal.
Dataverse solution lifecycle — create, export, import, promote across environments, and validate deployments. Use when the user wants to package customizations, deploy to another environment, or move work between dev / test / prod.
Environment-level Dataverse administration — bulk delete, retention/archival, organization settings, OrgDB settings, recycle bin, audit, and the 37 allowlisted PPAC toggles. Use when the user wants to clean up data at scale, configure audit, change environment settings, or manage retention policies.
One-step setup for a Dataverse environment — installs tools, authenticates, registers the MCP server, and writes `.env`. Use when starting a new project, switching environments, fixing authentication, or troubleshooting an MCP connection that won't come up.
Record-level CRUD and bulk operations via the Python SDK — create, update, delete, upsert, CSV import, multi-table foreign-key loads, AI-generated sample data. Use when the user wants to write, modify, seed, or import data records into Dataverse tables.
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Build, query, and manage Microsoft Dataverse through natural language. The plugin teaches AI coding agents to drive the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI — for everything from designing data models and answering CRM questions to deploying solutions across environments.
| 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. |
| 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.
/plugin install dataverse@awesome-copilot
/plugin install dataverse@claude-plugins-official
Codex app
https://github.com/microsoft/Dataverse-skills.git.dataverse, and select Install plugin.Codex CLI
Add the marketplace (first time only), then browse /plugins and install dataverse:
codex plugin marketplace add microsoft/Dataverse-skills
Update to the latest release:
codex plugin marketplace upgrade dataverse-skills
Local install (a Cursor Marketplace listing is coming — tracked in #76):
git clone https://github.com/microsoft/Dataverse-skills.git
Then copy the plugin directory into your Cursor local plugins folder:
Dataverse-skills\.github\plugins\dataverse to %USERPROFILE%\.cursor\plugins\local\dataverse\Dataverse-skills/.github/plugins/dataverse to ~/.cursor/plugins/local/dataverse/Reload the Cursor window (Ctrl+Shift+P → "Developer: Reload Window") to load the dv-* 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 registered with your agent, 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:
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