Running Dataverse MCP Server in non-Microsoft clients

The Dataverse MCP Server has been around for about a year now, and I have blogged about it extensively during this time.

For example, last summer I did an evaluation of how well different LLMs performed using the Dataverse MCP Server. It seems like a lifetime ago - the state-of-the-art LLMs at that time were OpenAI o3 and DeepSeek-R1, and it turned out that GPT-4.1 was best at using the DV MCP, all things considered.

The new MCP spec and the unfortunate deprecation of MCP Sampling

Greetings from beautiful Portorož in Slovenia, where I am joining Jonas Rapp to present a session titled “How and why did we implement AI Chat in FetchXML Builder?” at the DynamicsMinds conference. We are talking about our fun collaboration from last year, where we added AI chatbot functionality to Jonas’ tool FetchXML Builder - one of the most widely used Power Platform community tools (even mentioned in the official docs!).

The death of BizApps and the rise of the agentic Power Platform

Sometime last summer, it started to dawn on me that business applications as we know them might soon be a thing of the past.

I had been experimenting with the Model Context Protocol for a while, building custom agents that read and wrote to Dataverse directly - no UI in between. Talking to my business application in natural language, with MCP doing the plumbing, was unexpectedly delightful - and surprisingly productive.

Declarative Agents with Work IQ MCP Servers

It has been a while since I last looked into Agent 365 SDK, and since then a couple of interesting things have happened.

Dataverse MCP Server revisited, agent context reduction strategies and the future of BizApps

It has been a while since I last tried the Dataverse MCP Server. Last summer, when it was in preview, I experimented with it extensively and posted my experiences to LinkedIn and to my blog:

• In this LinkedIn post, I showed how the Dataverse MCP Server can be used from Claude Code, Claude Desktop and Gemini CLI.