MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"linkedapi-mcp": {
"command": "<see-readme>",
"args": []
}
}
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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.
This server supports HTTP transport. Be the first to test it — help the community know if it works.
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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.
To start using Linked API MCP, spend 2 minutes reading these essential guides:
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.
This project is licensed under the MIT – see the LICENSE file for details.