Skip to main content

Add your description here

Project description

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

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iflow_mcp_sakshee5_job_apply-0.1.0.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iflow_mcp_sakshee5_job_apply-0.1.0-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file iflow_mcp_sakshee5_job_apply-0.1.0.tar.gz.

File metadata

  • Download URL: iflow_mcp_sakshee5_job_apply-0.1.0.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_sakshee5_job_apply-0.1.0.tar.gz
Algorithm Hash digest
SHA256 df81f15ef8217cec0e00ebb3fb2eac9a96d444893eb3e1837109d16fc0dfc0b9
MD5 4236b5408108548d03dc3254479c492e
BLAKE2b-256 339308fa20e08daed89f251cc6ed6c66ec79d42dce6f6d57a1820e2ad12460c3

See more details on using hashes here.

File details

Details for the file iflow_mcp_sakshee5_job_apply-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: iflow_mcp_sakshee5_job_apply-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_sakshee5_job_apply-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4665d6bea2a37d8ae944017069ec8dadb24944f8abd7f63714c1a3f991ee9e3a
MD5 dd00cfaeb5e499e993f699cd3060bae7
BLAKE2b-256 c4f5797f95365c303289df850a99f8e2662793789b419983825d1f2d51246b88

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page