Demo MCP

by josx

2 443 downloads Not rated yet Apache-2.0
GitHub

About

Demo: mcp protocol with simple client and server file

Details

License
Apache-2.0

Explore

- Drop-in setup with Python virtual environment and requirements
- Two server modes: plain and JWT‑authenticated
- Integrated demo client over SSE transport
- LangChain/LangGraph host integration with Ollama models
- Debug using the official MCP Inspector tool

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 Demo MCP
    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

python3 -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "demo mcp": {
            "mcp_demo": {
                "command": "python3",
                "args": [
                    "-m",
                    "venv",
                    ".venv"
                ]
            }
        }
    }
}

McpServers

{
    "mcp_demo": {
        "command": "python3",
        "args": [
            "-m",
            "venv",
            ".venv"
        ]
    }
}

Info

- Server - Using server examples from modelcontextprotocol/python-sdk - Client - Using code from slavashvets/mcp-http-client-example - Debug - Using Inspector

Setup

python3 -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt

Run Server

> You can use any of this two servers - python server.py or with jwt auth python server_asgi.py

Run demo client

- python client.py http://localhost:8000/sse

Run demo host (langchain/langgraph)

> You need to run ollama and download a model - python host_langchain.py llama3.3 http://localhost:11434

Debug

> You can debug server with this app - Open a new terminal and run npx @modelcontextprotocol/inspector - Point browser to http://127.0.0.1:6274 - Change Transport Type to SSE - Change URL to http://localhost:8000/sse - Press Connect and start testing server
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