How I Built a Read-Only SQLite MCP Server in Python (and Why Read-Only Matters)

<p>The first version of my MCP server worked and was still useless. Every tool returned correct data when I called it by hand in the Inspector, and then I pointed Claude at it and

<p>MCP is one of the most thoughtfully scoped technical standards to come out of the AI ecosystem. That scope is intentional. Understanding exactly where MCP stops is the

<p>REST APIs gave humans (and the code they wrote) a standardized way to access software over the network.</p> <p>MCP is trying to do the same thing for agents.</p> <p>That simple

<p>An MCP server for Postgres can be read-only and still hurt production.</p> <p>Exploratory joins, wide aggregates, synchronized schedules, and concurrent retries consume the

<h2> The Setup </h2> <p>MCP (Model Context Protocol) lets AI agents call external tools. Instead of just reading files and running bash, the agent gets structured access to APIs,

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<p>I keep building the same thing.</p> <p>Not the same <em>product</em> — the products are different. One indexes a Hugo blog. One indexes AI conversations. One consolidates

<p>MCP feels easy until it isn't. The first time you wire up a stdio server and call a tool from a Claude Agent SDK loop, the whole thing fits on a slide. Then you put it in front