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WEEK 1: Getting started with a super basic MCP server

JobApply MCP Server

A Model Context Protocol (MCP) server designed to help with job applications by analyzing job postings and optimizing resumes and cover letters.

Features

  • Job Posting Scraper: Extract job descriptions from URLs

  • Document Reader: Read PDFs, Word docs, text files, and Markdown

Available Tools

  1. scrape_job_posting(url) - Extract job description from a URL

  2. read_resume_pdf(file_path) - Read PDF resume content

  3. read_document(file_path) - Read text/Word/Markdown documents

Related MCP server: LinkedIn MCP Server

Usage

  1. Clone Repository

  2. Install requirements in virtual environment with pip install > requirements.txt

  3. Install package manager uv. Run uv init and uv add mcp[cli]

  4. Install Claude Desktop.

  5. Run mcp install main.py to add server to claude config.

  6. 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.

Future Enhancements

  • ATS optimization suggestions + enhance ATS scorer

  • Better company research integration

  • Resume template generation

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security - not tested
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license - not found
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quality - not tested

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sakshee5/JobApply-MCP-Server'

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