Skip to main content
Glama

tuneit-mcp

TuneIt MCP Server to expose tools that format, save, and integrate with OpenAI to automate resume tailoring actions.

Features

This MCP server provides the following tools:

  • format_to_markdown: Formats a job description into well-structured markdown with proper headers and sections

  • tailor_resume: Tailors a resume to match a specific job description using AI

  • save_job: Saves a job description to the output/jobs/ folder

  • save_tailored_resume: Saves a tailored resume to the output/tailored_resumes/ folder

Prerequisites

  • Python 3.10 or higher

  • OpenAI API key

Installation

  1. Clone the repository:

    git clone https://github.com/mcuellar/tuneit-mcp.git cd tuneit-mcp
  2. Create and activate a virtual environment:

    python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate
  3. Install dependencies:

    pip install -r requirements.txt
  4. Set up environment variables:

    # Create a .env file or export directly export OPENAI_API_KEY=your_openai_api_key_here # Optional: customize output directory (defaults to ./output) export OUTPUT_DIR=./output

Usage

Running the Server

Start the MCP server:

python server.py

Configuring with Claude Desktop

Add the following to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "tuneit-mcp": { "command": "/path/to/your/.venv/bin/python", "args": ["/path/to/tuneit-mcp/server.py"], "env": { "OPENAI_API_KEY": "your_openai_api_key_here" } } } }

Tool Descriptions

format_to_markdown

Formats a raw job description into clean, well-structured markdown with proper headers including job title, company, responsibilities, requirements, and more.

Parameters:

  • job_description (string): The raw job description text to format

tailor_resume

Tailors an existing resume to better match a specific job description while maintaining truthfulness and professional formatting.

Parameters:

  • base_resume (string): The original resume text to tailor

  • job_description (string): The job description to tailor the resume for

save_job

Saves a job description (preferably already formatted in markdown) to the jobs folder.

Parameters:

  • job_content (string): The job description content to save

  • filename (string): The filename to save as (without extension)

save_tailored_resume

Saves a tailored resume to the tailored resumes folder.

Parameters:

  • resume_content (string): The tailored resume content to save

  • filename (string): The filename to save as (without extension)

Output Directory Structure

output/ ├── jobs/ │ ├── software_engineer_acme.md │ └── data_scientist_techcorp.md └── tailored_resumes/ ├── software_engineer_acme_resume.md └── data_scientist_techcorp_resume.md

Environment Variables

Variable

Description

Default

OPENAI_API_KEY

Your OpenAI API key (required)

-

OUTPUT_DIR

Directory for saved files

./output

License

MIT

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mcuellar/tuneit-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server