Ability to read and process Markdown documents as part of the document reading capabilities for resume and cover letter optimization.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@JobApply MCP Server scrape this job posting and analyze my resume for fit: https://example.com/job/123"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
WEEK 1: Getting started with a super basic MCP server
A Model Context Protocol (MCP) server designed to help with job applications by analyzing job postings and optimizing resumes and cover letters.
Job Posting Scraper: Extract job descriptions from URLs
Document Reader: Read PDFs, Word docs, text files, and Markdown
scrape_job_posting(url) - Extract job description from a URL
read_resume_pdf(file_path) - Read PDF resume content
read_document(file_path) - Read text/Word/Markdown documents
Related MCP server: LinkedIn MCP Server
Clone Repository
Install requirements in virtual environment with pip install > requirements.txt
Install package manager uv. Run uv init and uv add mcp[cli]
Install Claude Desktop.
Run mcp install main.py to add server to claude config.
Sample query to run on Claude Desktop
Job Description: https://ats.rippling.com/chartmetric/jobs/1656afd4-46d4-4478-a881-1cdfbac03819
Resume: "C:\Users\saksh\Downloads\Sakshee_Patil_Resume.pdf"
Please help me write a cover letter.ATS optimization suggestions + enhance ATS scorer
Better company research integration
Resume template generation
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sakshee5/JobApply-MCP-Server'
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