linkedapi-mcp

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MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.

linkedapi-mcp 최신버젼 다운로드

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Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically.

## Use cases

- **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.
- **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.
- **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.
- **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.

## Get started

To start using Linked API MCP, spend 2 minutes reading these essential guides:

1. [Installation](https://linkedapi.io/mcp/installation/) – set up MCP in Claude, Cursor, VS Code, or Windsurf.
2. [Available tools](https://linkedapi.io/mcp/available-tools/) – explore all the LinkedIn tools your assistant can call.
3. [Usage examples](https://linkedapi.io/mcp/usage-examples/) – see real-world examples to get you started quickly.

## Long-running actions

Linked 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.

If a tool returns `status`, `workflowId`, `operationName`, and `message`, the action is still running. Do not retry the original tool because that can queue duplicate work. Call `get_workflow_result` with the exact `workflowId` and `operationName` until the final result is returned. By default `get_workflow_result` long-polls until the workflow completes or the current MCP client's request budget elapses; pass `waitSeconds: 0` for an immediate single-shot snapshot.

## License

This project is licensed under the MIT – see the [LICENSE](https://github.com/Linked-API/linkedapi-mcp/blob/main/LICENSE) file for details.

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