Job Search Assistant AI Agent
Pricing
Pay per event
Job Search Assistant AI Agent
Automates the process of finding job listings based on user-defined preferences. Analyzes job postings, scores them based on relevance, and even generates tailored cover letters for each opportunity.
0.0 (0)
Pricing
Pay per event
1
Monthly users
6
Runs succeeded
>99%
Last modified
a month ago
You can access the Job Search Assistant AI Agent 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=harvestlabs/job-search-assistant-ai-agent"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Job Search Assistant AI Agent via Model Context Protocol (MCP) server
MCP server lets you use Job Search Assistant AI Agent 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 Job Search Assistant AI Agent 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 "jobPreferences": "I'\''m looking for remote software engineering roles in California.",
8 "resumePath": "https://raw.githubusercontent.com/JEBishop/job-search-ai-agent/main/Sample-Resume.pdf"
9},
10 "name": "harvestlabs/job-search-assistant-ai-agent"
11 }
12}'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 Job Search Assistant AI Agent
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 "harvestlabs/job-search-assistant-ai-agent"
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.
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Actor intialization
$1.000
Starting of the actor
LLM Input
$0.010
Use of our API key for LLM input
Resume Page Parse
$0.250
Pages parsed from the supplied resume
Job Results Output
$0.100
Job(s) returned from actor
