AI LinkedIn Job Matcher
3 days trial then $15.00/month - No credit card required now
AI LinkedIn Job Matcher
3 days trial then $15.00/month - No credit card required now
AI LinkedIn Job Matcher helps job seekers find the most relevant LinkedIn job postings using NLP, and OpenAI's GPT-4. It analyzes job descriptions, matches them to resumes, and ranks opportunities by relevance. Automate job searching, save time and discover the best career matches easily!
JamesActor Metrics
8 Monthly users
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92% runs succeeded
Created in Jan 2025
Modified 6 days ago
You can access the AI LinkedIn Job Matcher programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=james.logantech/ai-linkedin-job-matcher"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing AI LinkedIn Job Matcher via Model Context Protocol (MCP) server
MCP server lets you use AI LinkedIn Job Matcher within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the AI LinkedIn Job Matcher Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "query": "Software Engineer",
8 "location": "Australia",
9 "resume": "John Doe - Software Engineer with 5+ years of experience in Python, JavaScript, and cloud technologies. Skilled in React, Node.js, AWS, and Docker. Passionate about building scalable applications and optimizing performance.",
10 "max_results": 100
11},
12 "name": "james.logantech/ai-linkedin-job-matcher"
13 }
14}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for AI LinkedIn Job Matcher
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "james.logantech/ai-linkedin-job-matcher"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
