TuneIt

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

python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "mcuellar-tuneit-mcp": {
      "command": "python",
      "args": [
        "server.py"
      ],
      "env": {
        "OUTPUT_DIR": "./output",
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
      }
    }
  }
}

TuneIt MCP Server exposes tools that format, tailor, and save job descriptions and tailored resumes, integrating with OpenAI to automate resume tailoring actions. It helps you standardize job descriptions, adapt resumes to specific roles, and persist outputs for easy access and reuse.

How to use

You interact with the TuneIt MCP Server through an MCP client. Start the server locally and call the available tools to format job descriptions, tailor resumes to match specific job postings, and save both jobs and tailored resumes to your output directories. The server authenticates with your OpenAI API key, enabling AI-assisted formatting and tailoring. You can configure your client to point at the local server via a standard MCP runtime configuration and then invoke the provided tools by name.

How to install

Prerequisites: Python 3.10 or higher and an OpenAI API key.

Clone the source code and enter the project directory.

git clone https://github.com/mcuellar/tuneit-mcp.git
cd tuneit-mcp

How to install

Create and activate a virtual environment.

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

How to install

Install dependencies.

pip install -r requirements.txt

How to install

Set up environment variables (OPENAI_API_KEY is required). You may also customize the output directory.

export OPENAI_API_KEY=your_openai_api_key_here
export OUTPUT_DIR=./output

How to install

Run the server.

python server.py

How to install

Optional: configure Claude Desktop to route through this MCP server. Add the following configuration for macOS or Windows to your Claude Desktop config.

{
  "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"
      }
    }
  }
}

Available tools

format_to_markdown

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

tailor_resume

Tailors a resume to align with a given job description while preserving truthfulness and professional formatting.

save_job

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

save_tailored_resume

Saves a tailored resume to the output/tailored_resumes folder.