Server facts
linkedin-mcp-runner
Project
- Author
- ertiqah
- Repository
- github.com/ertiqah/linkedin-mcp-runner
- License
- MIT
- Category
- AI Models & Agents
Tech
- Runtime / language
- node
- Transports
- stdio
- Remote available
- No
- Authentication
- Not specified
Activity
- GitHub stars
- 31
- Last commit
- Data as of
Tags
- Claude
- ai assistant
- ai scheduling
- ai writing
- chatgpt
- content automation
- content marketing
- creator tools
- ghostwriting
- gpt integration
- gpt4
- linkedin content
- linkedin post generator
- mcp
- personal branding
- publishing workflow
Overview
LiGo’s MCP runner brings a user’s public LinkedIn context into Claude or ChatGPT with their consent. Its retrieval tools return recent posts and engagement metrics, plus profile details such as headline, summary, experience, and education. If no profile URL has been configured, users must set one before fetching profile information or posts. Separate refresh tools update profile data and capture newly published posts. Conversational analysis lets users ask follow-up questions about their profile, content, or network.
Drafting can start from an article, newsletter, or notes, with a generation tool producing 3 LinkedIn post variants. Authors can also ask for rewrites that reflect the voice of their earlier posts. For distribution, LinkedIn text posts can be published directly or scheduled for a specified future date and time. Both publishing paths accept optional images or videos supplied by URL. The toolset also includes a separate action for posting text tweets to Twitter.
linkedin-mcp-runner setup notes
- linkedin-mcp-runner records stdio only; confirm a network transport upstream before planning remote access.