Model Context Protocol

LinkedIn MCP Server

Crispy is a LinkedIn MCP server for teams evaluating LinkedIn MCP. If you need MCP for LinkedIn, connect a supported client to one endpoint for search, messaging, content, analytics, campaigns, contacts, lists, and account tools.

crispy — bash

Search Sales Navigator for VP Engineering at fintechs, 50-200 staff

[
  { "name": "Priya Nair", "headline": "VP Engineering at Plaid", "degree": 2 },
  { "name": "Tom Becker", "headline": "VP Engineering at Brex", "degree": 3 }
]  31 matches

Comment something useful on the latest post from my top 5 leads

{ "commented": 5, "skipped_no_recent_post": 0 }

Show my Social Selling Index and this week's activity

{
  "ssi": 78,
  "this_week": { "invites": 41, "messages": 96, "posts": 2 }
}

What is the Model Context Protocol?

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources. Instead of copy-pasting data between LinkedIn and your AI, MCP gives your agent direct access to LinkedIn's capabilities.

Think of it as a standardized connection between an AI client and a described set of tools. Crispy publishes setup paths for Claude, ChatGPT, Cursor, and n8n.

Evaluate the documented catalog below, then use the guide for your client to configure its authentication and connection.

Documented LinkedIn tools, one endpoint

The catalog contains 166 documented tool pages. Counts below come from the same registry that renders the tool directory.

Search & Discovery

15 documented tools

Find people, companies, and content on LinkedIn

Messaging

27 documented tools

Send and manage LinkedIn messages and conversations

Content

29 documented tools

Create, read, and engage with LinkedIn posts

Connections

23 documented tools

Manage your LinkedIn network and invitations

Analytics

12 documented tools

Track post performance, profile metrics, and activity

Campaigns

15 documented tools

Create and track outbound campaign performance

Account

20 documented tools

Manage account settings, diagnostics, and capacity

Lead Management

21 documented tools

Track leads, outreach history, and contact interactions

Lists

4 documented tools

Create and manage named contact collections for campaigns

Up and Running in 3 Steps

Authentication differs by client. Choose the supported guide that matches the client you use.

1

Sign up

Create your Crispy account and choose a plan.

2

Connect LinkedIn

Link your LinkedIn account from the Crispy dashboard.

3

Point your MCP client

Add crispy.sh/api/mcp to a supported client by following its setup guide.

Verify the public interface

Review the public documentation and reference before choosing a setup path. Directory listings establish presence only; they do not prove quality or market leadership.

Simple, Transparent Pricing

These values come from the current public pricing contract.

Crispy

$49/seat/mo

or $39/seat/mo billed annually ($468/yr)

  • 166 documented tool pages
  • MCP access
  • REST access
  • Client setup guides

Frequently Asked Questions

What is a LinkedIn MCP server?

An MCP (Model Context Protocol) server is a standardized interface that lets AI assistants connect to external tools. Crispy documents tools for LinkedIn search, messaging, content, analytics, campaigns, contacts, lists, and account management through this protocol.

Which AI tools work with this MCP server?

Crispy provides supported setup guides for Claude, ChatGPT, Cursor, and n8n. Follow the guide for your client because authentication and configuration differ by client.

How much does the LinkedIn MCP server cost?

Current public pricing is $49/seat/mo, or $39/seat/mo billed annually ($468/yr). See the pricing page for the current plan contract.

Where can I verify the setup requirements?

Review the public documentation and the exact guide for your client before connecting it to Crispy.

Is my LinkedIn data stored by Crispy?

See the current Privacy Policy and Data Rights contract for storage, access, export, retention, deletion, and applicable exceptions.

Run LinkedIn workflows from the AI client you already use.

Create your account, connect LinkedIn, create an API key, then add Crispy to your client. Review the docs for supported workflows and safety controls.