Process Mining MCP Server

# Project Launch Instructions **IMPORTANT:** The project was run on a **Windows** system. ## Steps to follow 1. **Install PostgreSQL**, create a database and a table with any name. Access credentials (database name, user, password, table name, etc.) should be entered in the `.env` file. There is a sample `.env.example` file in the repository — use it as a template to fill in your actual `.env` file. 2. **Create an account on [Anthropic](https://console.anthropic.com/)** and add funds to it. Otherwise, I can share my `API_KEY` via email. 3. The repository contains example `.bat` launch files with the `_example` suffix. Create your own `.bat` files (without `_example` in the name), filling in the appropriate **project paths**. 4. **Create a virtual environment** and install the required libraries according to `requirements.txt`: `pip install -r requirements.txt` 5. **Download [Claude Desktop](https://claude.ai/download)**. Go to `File -> Settings -> Developer -> Edit Config`. Paste the contents of the `claude_desktop_config_example.json`, file there, filling in the **paths to your `.bat` files**. > Make sure to use the correct path format. 6. **Extract the file** `BPI Challenge 2017.xes.gz` into the `datasets` folder. 7. **Run the data import script**: `python import_data.py` The script should import the event log data into the database. 8. **Restart Claude Desktop**. After launching the tool, the tools should be visible below the input field (two sliders labeled "search and tools"). There you can enable or disable the available tools. ## Optional: Configuring MCP in Cursor If you are using **[Cursor](https://www.cursor.com/)** with MCP tools: 1. Go to `File -> Preferences -> Cursor Settings`. 2. Go to `MCP Tools` tab. 3. Press `New MCP Server button` and paste previously filled `claude_desktop_config.json` file contents, adjusting the **paths to your `.bat` files** as needed. 4. Save the configuration. Your MCP tools should now be available inside Cursor.