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Semantic Kernel - what it is and how to use it for MCP
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The Semantic Kernel from Microsoft is an AI orchestration framework designed to simplify the development of applications powered by Large Language Models (LLMs). It serves a similar purpose as frameworks like LangChain, providing tools and abstractions to integrate LLMs, connect to external data sources like Model Context Protocol (MCP) Servers, and to orchestrate AI agents. -
Evaluation of large language models with Dataverse MCP Server
In a number of posts on LinkedIn I have demonstrated various ways of using the Dataverse MCP Server from Microsoft, which allows access to data in Dataverse from your AI tool of choice
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Self healing plugins in Dataverse using Claude, MCP and Github
A while back I posted a video to LinkedIn, showing how Claude Code could be used to ‘self heal’ Dataverse plugins. The post was a little sparse on detail, so in this blog post my intention is to provide a step-by-step instruction on how to get this demo up and running in your own environment.
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How to create a site using Jekyll running in a container and host the site in Github Pages
This blog is created in Jekyll, and hosted in Github Pages. The setup is as simple as possible and is limited to the versions of the plugins that are included in the github-pages gem.
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