LinkedIn MCP Server for Cursor 6 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install LinkedIn and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"linkedin": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About LinkedIn MCP Server
Empower your AI agent to orchestrate your entire professional ecosystem on LinkedIn, the world's largest professional network. By connecting LinkedIn to your agent, you transform professional networking and publishing into a natural conversation. Your agent can instantly list your administered organizations, audit recent posts, and create new content without you ever touching a dashboard. Whether you are building a personal brand or managing a corporate page, your agent acts as a real-time professional assistant, ensuring your presence is always active and your networking data is organized.
Cursor's Agent mode turns LinkedIn into an in-editor superpower. Ask Cursor to generate code using live data from LinkedIn and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Post Distribution — Create and publish new posts (UGC) directly to your profile or administered organization pages.
- Organization Oversight — List all organizations where you have administrative access and retrieve detailed metadata.
- Content Auditing — Query recent posts for any author URN to stay on top of your content strategy and engagement.
- Profile Intelligence — Retrieve detailed authenticated user info and primary email to ensure organizational alignment.
- URN Management — Quickly identify unique identifiers (URNs) for people and organizations to facilitate precise API operations.
The LinkedIn MCP Server exposes 6 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect LinkedIn to Cursor via MCP
Follow these steps to integrate the LinkedIn MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using LinkedIn
Open Agent mode in chat and ask: "Using LinkedIn, help me...". 6 tools available
Why Use Cursor with the LinkedIn MCP Server
Cursor AI Code Editor provides unique advantages when paired with LinkedIn through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
LinkedIn + Cursor Use Cases
Practical scenarios where Cursor combined with the LinkedIn MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
LinkedIn MCP Tools for Cursor (6)
These 6 tools become available when you connect LinkedIn to Cursor via MCP:
create_post
Create a new post (UGC) on LinkedIn
get_email
Get primary email address of the authenticated user
get_me
Get authenticated user info from LinkedIn
get_organization
Get details for a specific organization
list_organizations
List organizations where the user is an administrator
list_posts
List recent posts for an author
Example Prompts for LinkedIn in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with LinkedIn immediately.
"Get my LinkedIn profile and email."
"List all organizations I manage on LinkedIn."
"Create a public post on my profile: 'Excited to launch our new MCP servers!'"
Troubleshooting LinkedIn MCP Server with Cursor
Common issues when connecting LinkedIn to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
LinkedIn + Cursor FAQ
Common questions about integrating LinkedIn MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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Connect LinkedIn to Cursor
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.