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Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically.\n\n## Use cases\n\n- **Sales automation assistant**. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for \"software engineers at companies with 50-200 employees in San Francisco\", analyze their backgrounds, and suggest connection messages that actually make sense.\n- **Recruitment assistant**. Let your assistant search for candidates with specific skills, review their experience, and send initial outreach. It handles the time-consuming parts while you focus on actually talking to people.\n- **Conversation assistant**. Your AI can read your existing LinkedIn conversations and help you respond naturally. It understands the context of your chats, suggests relevant replies, and can even send follow-up messages.\n- **Market research assistant**. Need competitor analysis? Your assistant can gather data about companies, their employees, and recent activities. Get insights about industry trends without spending hours on LinkedIn.\n\n## Get started\n\nTo start using Linked API MCP, spend 2 minutes reading these essential guides:\n\n1. [Installation](https://linkedapi.io/mcp/installation/) – set up MCP in Claude, Cursor, VS Code, or Windsurf.\n2. [Available tools](https://linkedapi.io/mcp/available-tools/) – explore all the LinkedIn tools your assistant can call.\n3. [Usage examples](https://linkedapi.io/mcp/usage-examples/) – see real-world examples to get you started quickly.\n\n## Long-running actions\n\nLinked API actions run through a cloud browser and are queued like normal automation. Many actions take several minutes, especially searches and profile fetches with optional data.\n\nIf a tool returns `status`, `workflowId`, `operationName`, and `message`, the action is still running. 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