Read vs. Write Capabilities in Beehive

They outline Beehive MCP read actions and Shane confirms write actions like drafting emails and tagging subscribers.

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Episode notes

In this episode, TJ Larkin and Shane dive deep into the rapidly evolving world of AI workflows specifically tailored for local media brands. They explore the power of Model Context Protocol (MCP) servers, which allow users to connect AI models like Claude directly to software like Beehive and Canva. The discussion centers on how these integrations allow non-technical users to manage complex data and automate repetitive tasks using simple natural language commands.

Shane demonstrates how a custom-built Beehive MCP server can outperform official releases by providing both read and write access to newsletter data. You’ll see a live demonstration of Claude generating an interactive subscriber dashboard and automatically segmenting business owners from a mailing list. This episode highlights how "lazy" AI can be pushed to solve high-level business problems, such as identifying sales leads or creating custom landing pages.

The conversation concludes with a look at the massive shifts in the AI landscape over just a few short weeks, including the expansion of Claude’s context window and the integration of Canva for automated design. TJ and Shane emphasize that the barrier to entry for these tools is lower than ever, urging local media creators to experiment and "ask the AI" to handle the grunt work.

Guest Information: TJ Larkin is the host of the Local Media HQ show and manages multiple local publications including the Leander Scoop. Shane is an AI workflow expert and former newsletter publisher who now builds custom MCP tools and shares insights on his channel, AI Off Leash. You can find more of their work at Local Media HQ and follow Shane’s technical deep dives on the AI Off Leash YouTube channel

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