The magic of AI search

I just built yet another MCP experiment.

First I created a Python script to process .md files: chunk them, create embeddings, store everything in a PostgreSQL database.

Then I built an MCP server which can search the database both using semantic search (embeddings) and more traditional full text search as a fallback mechanism.

I find absolutely fascinating watching Claude interacting with this tool, because it’s not just about converting my request to a query, it’s the reasoning process which happens in order to find what it needs which is brilliant.

Let me show you an example:

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Building a WordPress MCP Server for Claude: Automating Blog Posts with AI

Building a custom MCP server to connect Claude directly to WordPress, enabling automated blog post creation with proper formatting and intelligent categorisation.

Third day, third MCP experiment (inspired by a quick conversation with Dave).

This time I connected Claude with this WordPress blog.

At the end of the chat that I used for the whole process of writing, building and installing the tool on my Mac, I asked Claude to write a post about the experience.

Of course I wouldn’t allow Claude to post unsupervised original stuff to my blog like I just did, but as Dave was pointing out, these are our new writing tools, being able to post directly without having to copy and paste just makes sense.

To be honest I would rather do this with ChatGPT, but apparently MCP integration is not available yet in the UK yet.

Check below to see Claude’s original post.

PS: it also categorised and tagged the post automagically ❤️

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