Overview
Overview
What is MCP for Dataverse?
MCP for Dataverse is a tool that enables users to query Dataverse environments using SQL, facilitating data retrieval and manipulation through popular AI tools like GitHub Copilot and Claude Desktop.
How to use MCP for Dataverse?
To use MCP for Dataverse, you need to configure the MCP Server in your environment and utilize it with compatible AI tools. You can run it as a Docker container or install it as a dotnet tool.
Key features of MCP for Dataverse?
- Enables SQL querying of Dataverse environments.
- Compatible with AI tools like GitHub Copilot and Claude Desktop.
- Provides installation options via Docker or dotnet tool.
Use cases of MCP for Dataverse?
- Querying data from Dataverse for reporting and analysis.
- Integrating with AI tools for enhanced data interaction.
- Automating data retrieval processes in applications.
FAQ from MCP for Dataverse?
- What are the prerequisites for using MCP for Dataverse?
You need VSCode (March 2025 or later), Azure CLI, Docker, and dotnet 9.0 SDK.
- Can I use MCP for Dataverse on all operating systems?
Yes, it supports Windows, MacOS, and Linux.
- Is there a sample configuration for using MCP?
Yes, a sample .env file is provided in the documentation for Docker setup.
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