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Linked API MCP

Linked API MCP

Local
github.com/Linked-APIDeveloper Tools70Updated today
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About Linked API MCP

Linked API MCP is a cloud-browser-backed MCP server for connecting LinkedIn accounts to AI assistants. It exposes tools for searching leads and candidates, reviewing profiles and conversations, and sending messages.

Key features

  1. 01Search leads and candidates
  2. 02Retrieve and analyze profiles
  3. 03Read LinkedIn conversations
  4. 04Draft and send messages
  5. 05Track long-running workflows

Use cases

  1. 01Find prospects and prepare outreach
  2. 02Search candidates and review experience
  3. 03Draft replies using chat context
  4. 04Gather company and industry research

MCP support

The MCP server exposes LinkedIn account actions and data to MCP clients through a cloud browser. Long-running actions return workflow identifiers that clients can use with get_workflow_result to retrieve completion results.

#linkedim-api#linkedin-automation#sales-automation

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "linkedapi": {
      "command": "npx",
      "args": [
        "-y",
        "linkedapi-mcp"
      ],
      "env": {
        "LINKED_API_TOKEN": "<LINKED_API_TOKEN>",
        "IDENTIFICATION_TOKEN": "<IDENTIFICATION_TOKEN>"
      }
    }
  }
}
Run commandnpx -y linkedapi-mcp
Environment variables to set
LINKED_API_TOKENSecret
IDENTIFICATION_TOKENSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmlinkedapi-mcp

Tools

27

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
personUrlstringYesLinkedIn URL of the person you want to send a message to (e.g., 'https://www.linkedin.com/in/john-doe')
textstringYesThe message text, must be up to 1900 characters.

Details

From the project README

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 – set up MCP in Claude, Cursor, VS Code, or Windsurf.
  2. Available tools – explore all the LinkedIn tools your assistant can call.
  3. 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 file for details.

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