Skip to main content

An MCP server for interacting with Microsoft Dataverse environments during development

Project description

Dataverse MCP Server

PyPI Python License: MIT

An MCP server that gives AI agents structured access to Microsoft Dataverse — query records, inspect metadata, manage schema, manage model-driven app forms, views, and apps, manage plug-in trace logging, and explore Power Platform environments.

Built with FastMCP, httpx, and the Dataverse OData v4.0 Web API. Communicates over stdio for seamless VS Code Copilot integration.


Quick Start

1. Install

# Run directly from PyPI — no install needed
uvx dataverse-mcp

2. Configure — add to .vscode/mcp.json:

{
  "servers": {
    "dataverse-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["dataverse-mcp"],
      "env": {
        "DATAVERSE_AUTH_TYPE": "azure_cli"
      }
    }
  }
}

3. Sign in

az login

That's it. Copilot can now query your Dataverse environments.


Installation

Run from PyPI (recommended)

uvx dataverse-mcp

uvx downloads and runs the package in an isolated environment — no virtual environment management required.

Run from a local checkout

git clone https://github.com/ryanmichaeljames/dataverse-mcp.git
cd dataverse-mcp
uv sync

This creates .venv. Use the local source MCP config shown in VS Code Setup to point VS Code at it. No build step required — code changes are picked up on the next server start.


Configuration

Set these in the env block of your MCP server entry. This project does not use a .env file.

Variable Default Description
DATAVERSE_AUTH_TYPE azure_cli Authentication method: azure_cli or interactive
DATAVERSE_URL Fallback org URL used when a tool call omits dataverse_url
DATAVERSE_ALLOW_WRITE false Set to true to register create, update, associate, merge, and schema mutation tools
DATAVERSE_ALLOW_DELETE false Set to true to register delete and disassociate tools

Authentication

Method Description
azure_cli (default) Uses your active az login session. Best for local development.
interactive Opens a browser window for interactive sign-in.

Safety Guards

Most write and delete tools are not registered by default, so they do not appear to the agent until explicitly enabled. One exception is dataverse_execute_batch, which is always visible but only allows GET requests unless DATAVERSE_ALLOW_WRITE=true. This prevents accidental mutations when you only need to read or inspect data while still allowing safe batch reads by default.

{
  "servers": {
    "dataverse-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["dataverse-mcp"],
      "env": {
        "DATAVERSE_AUTH_TYPE": "azure_cli",
        "DATAVERSE_ALLOW_WRITE": "true",
        "DATAVERSE_ALLOW_DELETE": "true"
      }
    }
  }
}

Each flag is independent — set only DATAVERSE_ALLOW_WRITE=true to allow creates and updates while keeping deletes disabled.


VS Code Setup

Run from PyPI

{
  "servers": {
    "dataverse-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["dataverse-mcp"],
      "env": {
        "DATAVERSE_AUTH_TYPE": "azure_cli"
      }
    }
  }
}

Run from a local checkout

{
  "servers": {
    "dataverse-mcp-local": {
      "type": "stdio",
      "command": "C:\\path\\to\\dataverse-mcp\\.venv\\Scripts\\python.exe",
      "args": ["-m", "dataverse_mcp.server"],
      "env": {
        "PYTHONPATH": "C:\\path\\to\\dataverse-mcp\\src",
        "DATAVERSE_AUTH_TYPE": "azure_cli"
      }
    }
  }
}

Multi-environment targeting

A single server instance can target any Dataverse org — pass dataverse_url on each tool call:

{
  "dataverse_url": "https://yourorg.crm.dynamics.com",
  "entity_set_name": "accounts",
  "select": ["name", "accountid"],
  "top": 10
}

When dataverse_url is omitted, the server falls back to DATAVERSE_URL if configured. Use dataverse_list_environments to discover available environments first.


Tools

Always available

These 38 tools are registered regardless of safety guard settings.

Tool Description
dataverse_list_environments List Power Platform environments accessible to the authenticated user
dataverse_whoami Return the authenticated user's UserId, BusinessUnitId, and OrganizationId
dataverse_get_entity_sets List OData EntitySet names from the service document
dataverse_retrieve_user_privileges List all security privileges assigned to a system user
dataverse_retrieve_principal_access Check access rights a user has to a specific record
dataverse_list_solutions List solutions with optional OData filter and pagination
dataverse_get_solution Get a single solution by unique name or GUID
dataverse_list_solution_components List components in a solution with optional type filter
dataverse_get_cloud_flows Get cloud flows by query, and optionally scope to a solution by ID or unique name
dataverse_query_table Query records from any table with filter, select, orderby, expand, and top
dataverse_get_record Get a single record by entity set name and GUID
dataverse_count_records Count table rows with optional filter support
dataverse_aggregate_table Execute aggregate queries (sum, avg, min, max, countdistinct) with optional grouping
dataverse_execute_batch Execute up to 1,000 OData operations in a single $batch request; GET-only unless DATAVERSE_ALLOW_WRITE=true
dataverse_list_tables List available tables with optional metadata filter
dataverse_get_table_metadata Get full schema details for a specific table
dataverse_list_columns List column definitions for a table with optional type filter
dataverse_get_column Get full metadata for a single column including type-specific properties
dataverse_list_choice_column_options Get all option values for a Picklist or MultiSelectPicklist column
dataverse_list_relationships List relationship definitions for a table or the entire environment
dataverse_get_relationship Get full metadata for a single relationship by schema name
dataverse_check_relationship_eligibility Check whether a table can participate in a relationship before creating one
dataverse_list_choices List all global choice (option set) definitions in the environment
dataverse_get_choice Get a specific global choice by name or MetadataId, including all option values
dataverse_list_plugin_type_statistics List runtime performance statistics (execution count, failure rate, crash metrics) for plug-in types
dataverse_get_plugin_trace_log_setting Get the current organization-wide plug-in trace log verbosity (off / exception / all)
dataverse_list_plugin_trace_logs List plug-in trace log records with filters for class name, message, entity, operation type, exceptions-only, and time window
dataverse_list_connection_references List connection references with optional filters for connector ID, status, and OData expression
dataverse_get_connection_reference Get a single connection reference by GUID or logical name
dataverse_list_forms List model-driven app forms for a table with optional form type filter
dataverse_get_form Get a form's layout as a structured tabs → sections → controls tree
dataverse_validate_formxml Validate FormXml against structural XSD rules; pass formxml for a dry-run on a proposed string without fetching from Dataverse
dataverse_list_views List saved views (savedquery records) for a table with optional query type filter
dataverse_get_view Get a view's FetchXml, LayoutXml, and column list
dataverse_validate_view Validate a view's FetchXml and LayoutXml against structural rules
dataverse_list_apps List model-driven apps; set include_unpublished=true to include drafts
dataverse_get_app Get a model-driven app's properties and component list grouped by type
dataverse_validate_app Validate a model-driven app using ValidateApp — surfaces missing sitemap and other errors

Requires DATAVERSE_ALLOW_WRITE=true

These 43 tools are only registered when DATAVERSE_ALLOW_WRITE=true is set.

Tool Description
dataverse_associate_records Associate two records via a collection-valued navigation property
dataverse_merge_records Merge a subordinate record into a target record (account, contact, lead, incident)
dataverse_create_publisher Create a Dataverse publisher with unique name and customization prefixes
dataverse_update_publisher Update mutable publisher fields by publisher GUID
dataverse_create_solution Create a solution with display name, version, and publisher binding
dataverse_update_solution Update mutable solution fields by solution GUID or unique name
dataverse_update_solution_version Update only the version of an existing solution
dataverse_add_component_to_solution Add a component to a solution via the AddSolutionComponent action
dataverse_enable_cloud_flow Enable a single cloud flow by workflow ID
dataverse_batch_enable_cloud_flows Enable multiple cloud flows in one $batch request with per-item results
dataverse_disable_cloud_flow Disable a single cloud flow by workflow ID
dataverse_batch_disable_cloud_flows Disable multiple cloud flows in one $batch request with per-item results
dataverse_create_table Create a new custom table with display names, ownership type, and primary name attribute
dataverse_update_table Update an existing table's display name or description
dataverse_create_column Add a new typed column to a table
dataverse_update_column Update an existing column via full PUT — fetch current definition with dataverse_get_column first
dataverse_create_one_to_many_relationship Create a 1:N relationship and its lookup column
dataverse_create_many_to_many_relationship Create an N:N relationship and its intersect table
dataverse_create_multi_table_lookup Create a polymorphic lookup column referencing multiple tables
dataverse_update_relationship Update an existing relationship via full PUT — fetch current definition with dataverse_get_relationship first
dataverse_create_choice Create a new global choice with initial options
dataverse_update_choice Update an existing global choice via full PUT — fetch current definition with dataverse_get_choice first
dataverse_add_choice_option Add a new option to a global or local choice
dataverse_update_choice_option Update the display label of an existing choice option
dataverse_reorder_choice_options Reorder all options in a global or local choice
dataverse_publish_customizations Publish schema changes via PublishXml (targeted) or PublishAllXml (environment-wide)
dataverse_set_plugin_trace_log_setting Set the organization-wide plug-in trace log verbosity: off, exception, or all
dataverse_create_connection_reference Create a connection reference with optional immediate connection assignment and optional solution association
dataverse_update_connection_reference Assign or clear a connection on a reference, update display name/description, or associate with a solution
dataverse_set_formxml Replace a form's FormXml directly and publish; validates before writing, returns formxml_backup for revert
dataverse_add_form_control Add a column control to a form — resolves classid from column metadata automatically
dataverse_remove_form_control Remove a column control from a form by logical name
dataverse_create_view Create a new saved view with FetchXml and LayoutXml
dataverse_update_view Update an existing view's FetchXml, LayoutXml, name, or description
dataverse_add_view_column Add a column to a view's LayoutXml
dataverse_remove_view_column Remove a column from a view's LayoutXml
dataverse_create_app Create a model-driven app with auto-generated sitemap, entity components, validation, and publish
dataverse_update_app Update a model-driven app's name or description
dataverse_add_app_components Add tables, forms, views, charts, or BPFs to a model-driven app
dataverse_remove_app_components Remove components from a model-driven app
dataverse_set_app_sitemap Create or replace a model-driven app's navigation sitemap from a table list or structured areas
dataverse_publish_app Publish a model-driven app to make it visible to users
dataverse_assign_app_role Associate or disassociate a security role with a model-driven app

Requires DATAVERSE_ALLOW_DELETE=true

These 8 tools are only registered when DATAVERSE_ALLOW_DELETE=true is set.

Tool Description
dataverse_delete_connection_reference Delete an unmanaged connection reference (managed ones must be removed via their solution)
dataverse_disassociate_records Remove an association between two records
dataverse_remove_component_from_solution Remove a component from a solution via the RemoveSolutionComponent action
dataverse_delete_table Permanently delete a custom table and all its data
dataverse_delete_column Permanently delete a custom column and all its data
dataverse_delete_relationship Delete a custom relationship by MetadataId
dataverse_delete_choice Delete a global choice by logical name
dataverse_delete_choice_option Remove a specific option value from a global or local choice

Development

# Install dependencies
uv sync

# Run the MCP inspector (interactive testing)
uv run mcp dev src/dataverse_mcp/server.py

# Run the server directly
uv run python -m dataverse_mcp.server

# Compile check
uv run python -m py_compile src/dataverse_mcp/server.py

Restart the MCP server in VS Code after code changes to pick up the new source.


License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dataverse_mcp-2.1.0.tar.gz (86.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dataverse_mcp-2.1.0-py3-none-any.whl (91.4 kB view details)

Uploaded Python 3

File details

Details for the file dataverse_mcp-2.1.0.tar.gz.

File metadata

  • Download URL: dataverse_mcp-2.1.0.tar.gz
  • Upload date:
  • Size: 86.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dataverse_mcp-2.1.0.tar.gz
Algorithm Hash digest
SHA256 ca7a410cacf0b59f2d0c72c40ab16176ecbc4c78f538640102496e67ed172311
MD5 f7f3b572a8467ca45038165d02cf1674
BLAKE2b-256 3bd98bb6d6fc5ba92dcfaea71cc0244b7238a7ad8a83e2849f88e51027786bc9

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataverse_mcp-2.1.0.tar.gz:

Publisher: release.yml on ryanmichaeljames/dataverse-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file dataverse_mcp-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: dataverse_mcp-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 91.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dataverse_mcp-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 9c475e41970feb4cc8571a03bdf8cb86a1371107d816c7deaf061c6b461ae207
MD5 e4f111820f3493f67b85d6d1ed647c75
BLAKE2b-256 d33c4ed014fe21369bedc4a2a3308df2c3b5e7adee7ce7cc178718815a52e184

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataverse_mcp-2.1.0-py3-none-any.whl:

Publisher: release.yml on ryanmichaeljames/dataverse-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page