# Analyzing X Posts with an AI Agent Through X's Hosted MCP Server

DevFeed: [Analyzing X Posts with an AI Agent Through X's Hosted MCP Server](<https://devfeed.tech/articles/x-just-gave-us-an-interface-that-ai-agents-can-use-i-pointed-it-at-my-own-posts-29414.md>)

Original publisher: [Read original article](<https://lemire.me/blog/2026/07/11/x-just-gave-us-an-interface-that-ai-agents-can-use-i-pointed-it-at-my-own-posts/>)

Author: Daniel Lemire

Published: 2026-07-11T19:53:17Z

Content type: opinion

Language: en

Sources: [Daniel Lemire](<https://devfeed.tech/sources/daniel-lemire.md>)

Topics: [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [data](<https://devfeed.tech/tags/data.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [metrics](<https://devfeed.tech/tags/metrics.md>)

## AI overview

The article describes using X's hosted MCP server with an AI coding agent to analyze roughly 60 days of the author's posts. The analysis examines posting times, views, character counts, and likes, finding stronger median views around 9 a.m. and higher median likes for posts around 300-325 characters than for short replies.

## Source excerpt

I have been on X for a long time. Like most people who post regularly, I have a gut feeling for what might interest people. I post in the morning. Longer posts seem to do better. But gut feelings are not measurements. And until recently, digging into your own posting data meant either clicking around ... Continue reading X just gave us an interface that AI agents can use. I pointed it at my own posts.