dataverse-mcp 0.1.0b2

A read-only MCP server for querying Microsoft Dataverse environments during development

Dataverse MCP Server

An MCP server for interacting with Microsoft Dataverse environments. Built with FastMCP and the official PowerPlatform-Dataverse-Client Python SDK.

Features

• Solution inspection — list solutions, get solution details, browse solution components
• Table querying — flexible OData-style queries against any Dataverse table
• Schema exploration — list tables, inspect table metadata (primary key, name attribute)
• Agent-friendly — rich tool descriptions designed for AI agent discoverability
• Secure — Pydantic v2 input validation, GUID format enforcement, OData injection prevention

Prerequisites

• uv — install from docs.astral.sh/uv
• Access to a Microsoft Dataverse environment
• Azure CLI (az login) or a registered app for authentication

Installation

No install required — run directly from PyPI using uvx:

uvx dataverse-mcp

uvx downloads and runs the package in an isolated environment. No cloning, no virtual env setup.

Configuration

Copy the example environment file and fill in your values:

cp .env.example .env

Variable	Required	Default	Description
DATAVERSE_URL	Yes	—	Your Dataverse org URL (e.g., https://yourorg.crm.dynamics.com)
DATAVERSE_AUTH_TYPE	No	azure_cli	Auth method: interactive, client_secret, or azure_cli
AZURE_TENANT_ID	For client_secret	—	Azure AD tenant ID
AZURE_CLIENT_ID	For client_secret	—	App registration client ID
AZURE_CLIENT_SECRET	For client_secret	—	App registration client secret

Authentication Methods

• azure_cli (default) — Uses your existing az login session. Best for local development.
• interactive — Opens a browser window for interactive sign-in.
• client_secret — Uses a service principal. Requires AZURE_TENANT_ID, AZURE_CLIENT_ID, and AZURE_CLIENT_SECRET.

Usage

This server communicates over stdio and works with any MCP-compatible client.

VS Code

Add the server to your VS Code MCP configuration (.vscode/mcp.json):

{
  "servers": {
    "dataverse-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["dataverse-mcp"],
      "env": {
        "DATAVERSE_URL": "https://yourorg.crm.dynamics.com",
        "DATAVERSE_AUTH_TYPE": "azure_cli"
      }
    }
  }
}

To connect to multiple environments, add one entry per environment with a unique key:

{
  "servers": {
    "dataverse-mcp-dev": {
      "type": "stdio",
      "command": "uvx",
      "args": ["dataverse-mcp"],
      "env": {
        "DATAVERSE_URL": "https://yourorg-dev.crm.dynamics.com",
        "DATAVERSE_AUTH_TYPE": "azure_cli"
      }
    },
    "dataverse-mcp-test": {
      "type": "stdio",
      "command": "uvx",
      "args": ["dataverse-mcp"],
      "env": {
        "DATAVERSE_URL": "https://yourorg-test.crm.dynamics.com",
        "DATAVERSE_AUTH_TYPE": "azure_cli"
      }
    }
  }
}

Tools

Tool	Description
dataverse_list_solutions	List solutions with optional OData filter, select, and top
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_query_table	Query records from any table with filter, select, orderby, expand, top
dataverse_get_record	Get a single record by table name and GUID
dataverse_list_tables	List available tables/entities with optional filter
dataverse_get_table_metadata	Get schema details for a specific table

Project Structure

src/dataverse_mcp/
├── __init__.py          # Package init
├── _app.py              # FastMCP instance (avoids circular imports)
├── server.py            # Entry point, logging setup, tool registration
├── client.py            # DataverseClient wrapper (auth, lifecycle)
├── models.py            # Pydantic v2 input models for all tools
└── tools/
    ├── __init__.py      # Tools package init
    ├── solutions.py     # Solution query tools
    ├── tables.py        # Table record query tools
    └── metadata.py      # Table/column metadata tools

Development

# Clone the repo
git clone https://github.com/ryanmichaeljames/dataverse-mcp.git
cd dataverse-mcp

# Install dependencies
uv sync

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

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

License

MIT