linkedin post

The problem

Manually scheduling LinkedIn content is a time sink, and standard API integrations often fail to handle complex media like multi-image grids or PDF documents. Developers frequently struggle with the specific URN syntax required for mentions and the strict rules around mixed media types.

What it does

• Schedules text, single image, and multi-image grid posts to LinkedIn via the Publora MCP server.
• Supports video uploads up to 500 MB (MP4) and PDF document sharing for carousel-like swipeable content.
• Handles LinkedIn-specific @mentions for people and organizations using URN syntax.
• Provides tools for managing, updating, and deleting scheduled or draft posts directly from the agent.
• Includes a REST API fallback for environments where MCP connections are unstable.

Frameworks & tools

Publora MCP, LinkedIn API, REST API (via x-publora-key), and ISO 8601 datetime scheduling.

Why this beats prompting it yourself

Prompting an LLM to "post to LinkedIn" fails because standard models lack the live connection to social APIs and the knowledge of LinkedIn's URN formatting requirements. This skill provides the specific tool definitions and media handling logic needed to interface with the LinkedIn API without manual login or copy-pasting code.

Use cases

• Automations to schedule product launch announcements with accompanying screenshots.
• Distributing technical whitepapers or reports as swipeable PDF documents.
• Batch-scheduling a week of engineering culture posts with team member mentions.
• Building custom internal tools for social media management using the provided toolset.

Known limitations

Does not support swipeable multi-image carousels (LinkedIn API limitation; use PDFs instead). Cannot combine different media types like images and video in a single post.