LinkedIn Post Generator

Remote

API Integration

Integrate this MCP server into your applications.

Get your API Key

You'll need to login and generate a Smithery API key to connect to this server.

Installation

Install the Smithery and MCP SDKs using npm:

npm install @smithery/sdk @modelcontextprotocol/sdk

TypeScript SDK

Use Smithery's TypeScript SDK to connect to this MCP server:

typescript


import { createTransport } from "@smithery/sdk/transport.js"

const transport = createTransport("https://server.smithery.ai/@NvkAnirudh/linkedin-post-generator", {
  "OPENAI_API_KEY": "string",
  "YOUTUBE_API_KEY": "string"
}, "your-smithery-api-key")

// Create MCP client
import { Client } from "@modelcontextprotocol/sdk/client/index.js"

const client = new Client({
	name: "Test client",
	version: "1.0.0"
})
await client.connect(transport)

// Use the server tools with your LLM application
const tools = await client.listTools()
console.log(`Available tools: ${tools.map(t => t.name).join(", ")}`)

// Example: Call a tool
// const result = await client.callTool("tool_name", { param1: "value1" })

Configuration Schema

Full JSON Schema for server configuration:

json

{
  "type": "object",
  "required": [],
  "properties": {
    "OPENAI_API_KEY": {
      "type": "string",
      "description": "OpenAI API key for summarization and post generation (optional, can be provided in requests)"
    },
    "YOUTUBE_API_KEY": {
      "type": "string",
      "description": "YouTube Data API key for fetching video metadata (optional, can be provided in requests)"
    }
  }
}