Lead-generator-mcp-server

by 4darsh-Dev

265 downloads Not rated yet MIT license
GitHub

About

A mcp server for leads generator using google maps through playright

Details

License
MIT license

Explore

- Uses Google Maps via Playwright for lead generation
- Configurable search query and result limit
- Runs as a Model Context Protocol server

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Lead-generator-mcp-server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

1. create & activate the virtual env
``bash
python -m venv myenv
.\myenv\Scripts\Activate


2. install requirements.txt
bash
pip install -r requirements.txt

3. run script
bash
python src/scraper.py --query "Fashion and Beauty in New Delhi" --max-results 3 --visible
``

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "lead-generator-mcp-server": {
            "Lead-generator-mcp-server": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "myenv"
                ]
            }
        }
    }
}

McpServers

{
    "Lead-generator-mcp-server": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "myenv"
        ]
    }
}
A mcp server for leads generator using google maps through playwright

setup

1. create & activate the virtual env ``bash python -m venv myenv .\myenv\Scripts\Activate

2. install requirements.txt
bash pip install -r requirements.txt

3. run script
bash python src/scraper.py --query "Fashion and Beauty in New Delhi" --max-results 3 --visible
``
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