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LinkedIn MCP server

A LinkedIn MCP server lets an AI agent take real actions on LinkedIn — posting, replying and reading analytics — through the Model Context Protocol. Modiva hosts one: add your MCP key to any MCP client and 15 typed LinkedIn tools appear instantly.

The Model Context Protocol (MCP) is how AI clients like Claude and Cursor discover and call real tools. Modiva's hosted MCP server turns the LinkedIn API into 15 typed tools an agent can call directly — no glue code, no OAuth handling, no per-platform SDK. Connect LinkedIn once and the agent can act on it.

15 typed LinkedIn tools

Grouped by resource, not by platform — so the same tool names work across every connected account.

accounts_

list · health · status

posts_

create · cross_post · schedule · publish_now

comments_

list · reply

messages_

list · send · inbox

analytics_

unified · best_time_to_post

Add it to your AI client

Point any MCP-compatible client (Claude, Cursor, Windsurf, …) at the hosted server and the LinkedIn tools are discovered automatically.

mcp config
{
  "mcpServers": {
    "modiva": {
      "url": "https://mcp.modiva.ai/v1",
      "headers": { "Authorization": "Bearer mk_live_…" }
    }
  }
}

Connect LinkedIn to your agent

Get your MCP key — free

FAQ

What is a LinkedIn MCP server?

It's a service that exposes LinkedIn capabilities as typed tools over the Model Context Protocol, so an AI agent can post, reply and read LinkedIn data instead of only generating text. Modiva hosts one you connect with a single key.

How do I connect the LinkedIn MCP server to Claude or Cursor?

Create a free Modiva account, connect LinkedIn, then add the server URL https://mcp.modiva.ai/v1 with your MCP key to your client. The LinkedIn tools are discovered automatically.

Do I need a LinkedIn developer app?

No. Modiva owns the reviewed LinkedIn app and manages OAuth and scopes, so you skip app review entirely and the agent can act right away.


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Modiva is a hosted, multi-tenant MCP server. Your LinkedIn tokens are encrypted and never shared between workspaces.