JetBrains + LinkedIn

Connect LinkedIn to JetBrains

Add Crispy's LinkedIn MCP server to JetBrains AI Assistant and use every LinkedIn tool from IntelliJ, PyCharm, WebStorm, and the rest - search, message, publish, and build LinkedIn-powered features in your IDE.

Get started Setup docs

Setup in 2 Minutes

1
Connect LinkedIn and copy your API key
Sign up, connect your account from the dashboard, and copy your key (it starts with crispy_)
2
Open the MCP settings
Go to Settings | Tools | AI Assistant | Model Context Protocol (MCP) and click Add
3
Add Crispy over HTTP
Choose the HTTP connection and enter https://crispy.sh/api/mcp with an Authorization: Bearer header - or paste the JSON below.

JSON configuration

{
  "mcpServers": {
    "crispy": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://crispy.sh/api/mcp",
        "--header",
        "Authorization: Bearer YOUR_API_KEY"
      ]
    }
  }
}

What You Can Do with JetBrains + LinkedIn

Describe the LinkedIn task to AI Assistant. It calls the right tools - or writes the code that does.

CRM sync scripts

Ask AI Assistant to build scripts that pull LinkedIn profiles, conversations, and connections into your CRM. It writes the code, Crispy provides the data.

“Write a Kotlin service that syncs my new LinkedIn connections to our database every hour”

LinkedIn-powered features

Build enrichment, lead scoring, and profile-lookup features with the LinkedIn tools available right inside IntelliJ, PyCharm, or WebStorm.

“Add an endpoint that enriches a lead with their LinkedIn title, company, and headline”

Outbound automation

Have AI Assistant run outreach - search prospects, draft personalized notes, send connection requests - or scaffold a pipeline that does.

“Find CTOs at Series A startups and send each a personalized connection request”

Quick LinkedIn tasks

Pull your unread inbox, list who you know at a company, or summarize a campaign - without leaving your IDE.

“Pull my unread LinkedIn messages and flag the ones that look like warm leads”

Why MCP Instead of a REST API?

When you connect Crispy via MCP, AI Assistant doesn't just get API access - it gets tool awareness. It knows what each LinkedIn tool does, what parameters it takes, and how to chain them into a workflow.

Ask it to “find prospects and send personalized outreach” and it will use search_people, get_profile, and send_invitation in the right order - without you writing a single API call.

You still get full REST access too. Crispy supports both MCP and standard HTTP requests through the same endpoint.

Pricing

Crispy is $49/seat/mo (or $39/seat/mo annual). One plan, everything included. Works across every JetBrains IDE.

View full pricing

Frequently Asked Questions

Does JetBrains AI Assistant support MCP servers?

Yes. AI Assistant connects to MCP servers over Streamable HTTP (and legacy SSE). You add Crispy under Settings | Tools | AI Assistant | Model Context Protocol (MCP), and its LinkedIn tools become available in chat.

How do I add Crispy in JetBrains?

Go to Settings | Tools | AI Assistant | Model Context Protocol (MCP), click Add, choose the HTTP connection and enter https://crispy.sh/api/mcp with an Authorization: Bearer header - or paste the JSON configuration shown above.

Which JetBrains IDEs work?

Any IDE with AI Assistant, including IntelliJ IDEA, PyCharm, WebStorm, GoLand, PhpStorm, Rider, and RubyMine. The setup is the same across all of them.

Is there anything to install?

Crispy itself is a remote MCP server, so there is nothing to install for the HTTP connection. The JSON path uses the mcp-remote bridge via npx, which needs Node.js.

What LinkedIn tools are available in JetBrains?

Every Crispy tool: search people and companies, get profiles, send messages and connection requests, triage your inbox, create and schedule posts, pull analytics, and manage campaigns.

The complete LinkedIn API. Ready when you are.

Connect your first LinkedIn profile in under 5 minutes. Every tool, every seat, no feature gates. Safe limits, warm-up, and full permission control built in.

Connect your first profile

Read the docs