Job Search Agent Langraph
Deprecated
Pricing
Pay per event
Job Search Agent Langraph
Deprecated
An autonomous AI agent that helps you find the perfect job match by analyzing your resume and searching across LinkedIn and Indeed. Built with Apify and powered by advanced AI capabilities.
0.0 (0)
Pricing
Pay per event
0
Total users
1
Monthly users
1
Runs succeeded
33%
Last modified
3 months ago
You can access the Job Search Agent Langraph 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.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=gopalakrishnan/job-search-agent-langraph", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Configure MCP server with Job Search Agent Langraph
You have a few options for interacting with the MCP server:
Use
mcp.apify.comviamcp-remotefrom your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=gopalakrishnan/job-search-agent-langraphalong with an API token (or use OAuth).Connect to
mcp.apify.comvia Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=gopalakrishnan/job-search-agent-langraph", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.
