linkedin-automation

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Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.

AI & Automation 40,440 stars 6528 forks Updated today MIT

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# LinkedIn Automation via Rube MCP Automate LinkedIn operations through Composio's LinkedIn toolkit via Rube MCP. ## Prerequisites - Rube MCP must be connected (RUBE_SEARCH_TOOLS available) - Active LinkedIn connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `linkedin` - Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas ## Setup **Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works. 1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds 2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `linkedin` 3. If connection is not ACTIVE, follow the returned auth link to complete LinkedIn OAuth 4. Confirm connection status shows ACTIVE before running any workflows ## Core Workflows ### 1. Create a LinkedIn Post **When to use**: User wants to publish a text post on LinkedIn **Tool sequence**: 1. `LINKEDIN_GET_MY_INFO` - Get authenticated user's profile info [Prerequisite] 2. `LINKEDIN_REGISTER_IMAGE_UPLOAD` - Register image upload if post includes an image [Optional] 3. `LINKEDIN_CREATE_LINKED_IN_POST` - Publish the post [Required] **Key parameters**: - `text`: Post content text - `visibility`: 'PUBLIC' or 'CONNECTIONS' - `media_title`: Title for attached media - `media_description`: Description for attached media **Pitfalls**: - Must retrieve user profile URN via GET_MY_INFO before creating a post - Image uploads require a two-step process: regis...

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Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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