Explore posts about ai agents.
What actually matters when an AI agent posts autonomously — OAuth abstraction, rate limits at agent scale, a queryable media library, and idempotent retries — compared across the providers that support it.
A full walkthrough for building a LangGraph agent that decides what to post and publishes it through a social media REST API, with runnable Python code.
Most LinkedIn MCP servers scrape profile and company data — they can't publish. Here's how to tell a scraper MCP from a posting MCP, and how to configure Claude to actually publish to LinkedIn.
A buyer's checklist for evaluating any social media API for AI-driven automation — webhooks, MCP support, rate limits at automation scale, and idempotency so a workflow retry doesn't double-post.
I spent seven months building Schedule & Chill and told almost nobody. It is a free LinkedIn scheduler, and the part I actually built it for is that Claude Code, Cursor, or any MCP client can write and schedule a post without you touching LinkedIn's composer.
AI agents cannot reach X or LinkedIn on their own. They post through a social posting API or an MCP server that holds the OAuth tokens. Here is how both paths work, what they cost, and how to stop an agent publishing something you regret.
An MCP server exposes your tools to Claude without writing a wrapper per agent framework. Here is what one actually is, how to build a working server, the tool-design mistakes that make agents behave badly, and when to just use someone else's.
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