Aggregate

Provides an interface to extend AI capabilities via remote control, notes, email operations, knowledge search, and more.

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": {
    "xiguaxiaome-xigua-mcp": {
      "command": "python",
      "args": [
        "mcp_pipe.py",
        "aggregate.py",
        "--env-file",
        ".env.xiaozhi1"
      ]
    }
  }
}

MCP Aggregate exposes tools that let you extend AI capabilities through remote control, note taking, email operations, knowledge search, and more. It provides a practical, scriptable way to run an MCP workflow locally and connect models to external actions.

How to use

You run the MCP Aggregate server locally in stdio mode to interact with a language model via your own scripts. Start the server using the Python command shown below. Your model can then invoke the exposed tools by calling the local MCP endpoint through the same process.

How to install

Prerequisites: you need Python 3.10 or newer and a working Python environment.

# Create a virtual environment
python3 -m venv venv

# Activate the virtual environment
# macOS/Linux
source venv/bin/activate

# Windows (PowerShell)
venv\Scripts\Activate.ps1

# Install dependencies
pip3 install -r requirements.txt

Additional setup and start

Prepare your environment for the MCP Aggregate by creating and configuring the environment file that this example uses.

# Example: run the MCP Aggregate with a specific environment file
python mcp_pipe.py aggregate.py --env-file .env.xiaozhi1

Notes on running and managing the server

You can run different MCP access points by using different environment files. Use the --env-file option to specify the appropriate settings for each instance.

Configuration and security notes

Ensure your environment file contains only the necessary credentials and sensitive information. Avoid committing it to version control. Use a dedicated, restricted file name like .env.xiaozhi1 for your local setup.

Troubleshooting

If you encounter a connection error, verify that the virtual environment is activated and that the correct environment file is being used. Ensure all required Python packages are installed and that you are running the exact command shown for starting the MCP Aggregate tool.