LinkedIn MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect LinkedIn through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"linkedin": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "LinkedIn Agent",
instructions:
"You help users interact with LinkedIn " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with LinkedIn?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and LinkedIn tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the LinkedIn MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from LinkedIn via MCP
Why Use Mastra AI with the LinkedIn MCP Server
Mastra AI provides unique advantages when paired with LinkedIn through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add LinkedIn without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every LinkedIn tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
LinkedIn + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the LinkedIn MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query LinkedIn, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed LinkedIn as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query LinkedIn on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using LinkedIn tools alongside other MCP servers
LinkedIn MCP Tools for Mastra AI (6)
These 6 tools become available when you connect LinkedIn to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting LinkedIn to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLinkedIn + Mastra AI FAQ
Common questions about integrating LinkedIn MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect LinkedIn to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.