Smart CV-to-LinkedIn Jobs Finder
Pricing
Pay per event
Smart CV-to-LinkedIn Jobs Finder
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
0
Total users
7
Monthly users
7
Runs succeeded
16%
Last modified
19 hours 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": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "dr.ollie/smart-cv-to-linkedin-jobs-finder" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with Smart CV-to-LinkedIn Jobs Finder
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "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 supported 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.
