Smart CV-to-LinkedIn Jobs Finder
Under maintenance
Pricing
Pay per event
Smart CV-to-LinkedIn Jobs Finder
Under maintenance
Instantly matches your CV to relevant LinkedIn job listings using AI. Upload your resume and get a tailored list of jobs that fit your skills and experience. No manual searching—just fast, accurate job matching. Get tailored listings based on your skills, location, and commute distance.
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Pricing
Pay per event
1
Total users
11
Monthly users
11
Runs succeeded
49%
Last modified
23 days ago
You can access the Smart CV-to-LinkedIn Jobs Finder 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=dr.ollie/smart-cv-to-linkedin-jobs-finder", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Configure MCP server with Smart CV-to-LinkedIn Jobs Finder
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=dr.ollie/smart-cv-to-linkedin-jobs-finderalong 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=dr.ollie/smart-cv-to-linkedin-jobs-finder", "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.
