Definition: An AI agent is an AI model that can take actions through connected tools, such as creating a draft, uploading an image or scheduling a post, to complete a goal you give it, rather than only replying with text.
Also called: AI assistant, agentic AI, social media agent
Updated October 11, 2026
A chatbot writes a caption and you copy it into each app. An agent is connected to your tools, so it can save that caption as a draft in your scheduler, attach the image and set the time. The difference is access: an agent works through APIs or MCP servers that you have authorised.
Most agents reach social accounts through a scheduler rather than through each network directly. The Model Context Protocol (MCP), which Anthropic open-sourced in November 2024, gives assistants such as Claude a standard way to discover and call a tool’s actions. A REST API does the same for automations built in code or in workflow tools.
With Postprism connected to Claude through MCP, a founder asks: “Turn this blog post into a LinkedIn post and an X post for Tuesday at 9 AM.” Claude creates both posts in Postprism, and the founder reviews and edits them on the calendar before they publish.
An MCP server is a service that exposes an app’s actions as tools that AI assistants can call, using the open Model Context Protocol (MCP).
A social media API is a set of official endpoints a network (or a scheduling tool) offers so software can publish posts, upload media and read analytics on an account without anyone using the app by hand.
A social media scheduler is software that lets you write posts in advance and publishes them automatically to your social accounts at the times you choose.
A social media approval workflow is the set of review steps a post must pass, such as a manager or client sign-off, before it can be scheduled or published.
Write once, tailor each version yourself or with optional AI, and schedule to 6 networks from one calendar.