MCP Server

by Master-Faraz-official

125 downloads

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Description

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Details

Author: Master-Faraz-official
Downloads: 125
Categories: Other

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:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

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

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

From the repository

1. Clone the repository and run npm install to install dependencies.
2. Ensure LM Studio is running locally at http://localhost:11434.
3. Start the server with node index.js — it will listen on http://localhost:3000.
4. Use the two endpoints (GET /v1/models and POST /v1/chat/completions) to fetch models or send chat completions.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "mcp server": {
            "Node.js-MCP-Server": {
                "command": "node",
                "args": [
                    "index.js"
                ]
            }
        }
    }
}

McpServers

{
    "Node.js-MCP-Server": {
        "command": "node",
        "args": [
            "index.js"
        ]
    }
}

# MCP Server A simple **Node.js** server that acts as a proxy for interacting with **LM Studio** models. It provides two API endpoints: - Fetch available models - Perform chat completions Built using **Express.js**, **Axios**, and **Body-parser**. --- ## 🚀 Features - Fetch available models from LM Studio (`GET /v1/models`) - Perform chat completions with selected models (`POST /v1/chat/completions`) - Built-in CORS support for cross-origin API access - Simple and easy to extend --- ## 📦 Installation 1. Clone the repository: ```bash git clone https://github.com/master-faraz-official/mcp-server.git cd mcp-server ``` 2. Install dependencies: ```bash npm install ``` --- ## 🛠 Usage 1. Make sure **LM Studio** is running locally at `http://localhost:11434`. 2. Start the server: ```bash node index.js ``` > The server will run at `http://localhost:3000` --- ## 📚 API Endpoints ### 1. Fetch Models **GET** `/v1/models` Fetches a list of available models from LM Studio. **Example Response:** ```json { "object": "list", "data": [ { "id": "model-id-1", "object": "model", "owned_by": "local" } ] } ``` ### 2. Chat Completion **POST** `/v1/chat/completions` Send a chat conversation and get a model's response. **Request Body:** ```json { "model": "your-model-id", "messages": [ { "role": "user", "content": "Hello!" } ], "temperature": 0.7 } ``` **Example Response:** ```json { "id": "chatcmpl-abc123", "object": "chat.completion", "created": 1714150000, "model": "your-model-id", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Hello! How can I assist you today?" }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0 } } ``` --- ## ⚙️ Environment Details - Node.js - Express.js - Axios - Body-parser - CORS --- ## 📄 Notes - Ensure that **LM Studio** is running on your local machine (`localhost:11434`). - The server acts as a bridge, formatting the responses in an OpenAI-compatible format. --- ## 📜 License This project is open source and available under the [MIT License](LICENSE).

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Description

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