MelviChat

Provides an MCP interface to interact with MelviChat through standardized client calls.

python

0

GitHub Stars

python

Language

4 months ago

First Indexed

2 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": {
    "melvi24-mcp-chat-ia": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

The MelviChat MCP Server implements the Model Context Protocol (MCP) to interact with the MelviChat platform. It lets AI clients like Cursor or Claude Desktop consume MelviChat's API in a standardized way, enabling seamless tool access and context management for chat-driven workflows.

How to use

Run the local MCP server and connect your MCP client to it. Start the server, then configure your client to execute the server using your Python interpreter. You can test the integration with the built-in MCP inspector to verify tool availability and interactions. You can perform end-to-end tasks such as querying MelviChat tools and managing model context through the MCP interface.

How to install

Prerequisites you need to meet before installing are Python 3.10 or newer and a running MelviChat backend at http://127.0.0.1:8000.

Create a virtual environment (optional but recommended):

python -m venv venv
.\venv\Scripts\activate

Install dependencies from the requirements file:

pip install -r requirements.txt

Running the MCP server and testing

To start the MCP server locally (stdio transport):

python server.py

Test the MCP inspector to interact with the server:

npx @modelcontextprotocol/inspector python server.py

Client integration example

Configure your client to run the MCP server using the Python interpreter. The example below shows how to reference the local server script from a client configuration.

{
  "mcpServers": {
    "melvichat": {
      "command": "python",
      "args": ["c:\\Users\\Melvisoft\\Downloads\\chatIA\\mcp_server\\server.py"]
    }
  }
}