linkedin ai agent setup made easy

# set up your LinkedIn AI agent get ready to streamline your content creation process. connecting your existing AI coding agent—Claude Code, Cursor, or Codex—to BAMF's MCP server is a game changer. you'll let your agent handle drafting and scheduling LinkedIn content without leaving your terminal. ## here's how to do it 1. connect to BAMF MCP: use this command to get started: ```bash claude mcp add --transport http bamf https://mcp.bamf.ai \ --header "Authorization: Bearer $BAMF_API_KEY" ``` this establishes the link to BAMF's server. 2. install optional BAMF stack skills: if you’re going deeper, run: ```bash curl -fsSL https://bamf.ai/bamfstack/install.sh | bash ``` this will expand your capabilities. 3. create your first prompt: try this for automatic posting: ```bash Use the BAMF MCP to list my creator spaces, then draft (do not schedule) a LinkedIn post about [topic]. ``` now, your agent is ready to dive in. for complete tool references, check the [BAMF MCP docs](https://bamf.ai/docs/mcp/overview). ## optimize your workflow once connected, your AI agent can generate posts, check analytics, and manage drafts—all within your coding environment. this cuts down on the need to toggle between tabs, keeping you focused and efficient. the most common mistake is mispointing your agent at the wrong config file. the generated config block makes this foolproof, ensuring you're set up correctly right from the start. ## the end goal with a few steps, your coding agent is now equipped to manage LinkedIn content efficiently. this setup not only evolves your workflow but also saves you time. for developers, technical founders, or anyone using Claude Code, Cursor, or Codex daily, this integration is invaluable. let's transform how you handle LinkedIn content—make your coding agent work for you. [originally from BAMF.ai](https://bamf.ai/tools/linkedin-ai-agent-setup)