MCP Server Example

by wolderufael

11 downloads

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Knowledge Base

Description

# MCP Server Example This repository contains an implementation of a Model Context Protocol (MCP) server for up to date documentations. This code demonstrates how to build a functional MCP server that can integrate with various LLM clients. ## What is MCP? MCP (Model Context…

About

Details

Author: wolderufael
Downloads: 11
Categories: Knowledge Base

- Implements Model Context Protocol for LLM integration
- Exposes Resources for file-like data access
- Provides Tools callable by LLMs with user approval
- Supports Pre-written Prompts for common tasks
- Works with local files, databases, and remote APIs
- Designed for hosts like Claude Desktop and IDEs

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 Example

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 example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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 example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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 example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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 example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

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 example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

From the repository

Install the uv package manager, clone the repository, create a virtual environment with uv venv, activate it, and run uv run main.py to start the server. For use with Cursor AI, edit .cursor/mcp.json to specify the command uv with arguments that point to the server directory and run main.py.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "mcp server example": {
            "docs-MCP-server": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "docs-MCP-server": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

MCP Server Example

This repository contains an implementation of a Model Context Protocol (MCP) server for up to date documentations. This code demonstrates how to build a functional MCP server that can integrate with various LLM clients.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.

MCP Diagram

Key Benefits

- A growing list of pre-built integrations that your LLM can directly plug into
- Flexibility to switch between LLM providers and vendors
- Best practices for securing your data within your infrastructure

Architecture Overview

MCP follows a client-server architecture where a host application can connect to multiple servers:

- MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP
- MCP Clients: Protocol clients that maintain 1:1 connections with servers
- MCP Servers: Lightweight programs that expose specific capabilities through the standardized Model Context Protocol
- Data Sources: Both local (files, databases) and remote services (APIs) that MCP servers can access

Core MCP Concepts

MCP servers can provide three main types of capabilities:

- Resources: File-like data that can be read by clients (like API responses or file contents)
- Tools: Functions that can be called by the LLM (with user approval)
- Prompts: Pre-written templates that help users accomplish specific tasks

System Requirements

- Python 3.10 or higher
- MCP SDK 1.2.0 or higher
- uv package manager

Getting Started

Installing uv Package Manager

On MacOS/Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

On Windows:

pip install uv

Make sure to restart your terminal afterwards to ensure that the uv command gets picked up.

Project Setup

1. clone and initialize the project:

```bash

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Description

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Server Example

What is MCP?

Key Benefits

Architecture Overview

Core MCP Concepts

System Requirements

Getting Started

Installing uv Package Manager

Project Setup

Install

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