Simple Tool (Website Fetcher)

by myblockcities

2 stars

292 downloads

Not rated

GitHub

About

Integrates with web servers to fetch and retrieve webpage content for analysis and processing tasks.

Details

Author: myblockcities
Repository: MyBlockcities/mcp-server-heroku
GitHub stars: 2
Downloads: 292
License: MIT License
Categories: Productivity, Design, Developer Tools, AI, API, Infrastructure
Tags: #web

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 Simple Tool (Website Fetcher)

Command (node, npx, python, etc.) uv
Arguments
- Argument 1 run
- Argument 2 mcp-simple-tool
Environment
- DEBUG false
- MCP_USER_AGENT MCP_USER_AGENT
- MCP_SERVER_HOST 0.0.0.0
- MCP_SERVER_PORT 8000
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": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

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": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

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": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

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": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

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": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

JSON

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

From the repository

1. Click "Deploy to Heroku" button

2. After deployment, configure Cursor:
- Open Cursor Settings → Features
- Add new MCP server
- Use your Heroku URL with /sse path (e.g., https://<your-app-name>.herokuapp.com/sse)

3. Test your agent's mood in Cursor:
- Ask your agent "Please ask about our server mood and let me know how it is."
- The server will respond with a cheerful message and a heart ❤️

You can run the server in three ways: using Docker, traditional Python setup, or directly in Cursor IDE.

The project includes Docker support for easy deployment:

1. Initial setup:



cp .env.example .env

2. Build and run using Docker Compose:



First, install the uv package manager:

bash

brew install uv

pip install uv



Start the server using either stdio (default) or SSE transport:

bash

uv pip install -e ".[dev]"

Available environment variables (can be set in .env):

- MCP_SERVER_PORT (default: 8000) - Port to run the server on
- MCP_SERVER_HOST (default: 0.0.0.0) - Host to bind the server to
- DEBUG (default: false) - Enable debug mode
- MCP_USER_AGENT - Custom User-Agent for website fetching

To install MCP Server Template for Cursor IDE for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "simple tool (website fetcher)": {
            "env": {
                "DEBUG": "false",
                "MCP_USER_AGENT": "MCP_USER_AGENT",
                "MCP_SERVER_HOST": "0.0.0.0",
                "MCP_SERVER_PORT": "8000"
            },
            "args": [
                "run",
                "mcp-simple-tool"
            ],
            "command": "uv"
        }
    }
}

Linux

{
    "env": {
        "DEBUG": "false",
        "MCP_USER_AGENT": "MCP_USER_AGENT",
        "MCP_SERVER_HOST": "0.0.0.0",
        "MCP_SERVER_PORT": "8000"
    },
    "args": [
        "run",
        "mcp-simple-tool"
    ],
    "command": "uv"
}

Macos

{
    "env": {
        "DEBUG": "false",
        "MCP_USER_AGENT": "MCP_USER_AGENT",
        "MCP_SERVER_HOST": "0.0.0.0",
        "MCP_SERVER_PORT": "8000"
    },
    "args": [
        "run",
        "mcp-simple-tool"
    ],
    "command": "uv"
}

Windows

{
    "env": {
        "DEBUG": "false",
        "MCP_USER_AGENT": "MCP_USER_AGENT",
        "MCP_SERVER_HOST": "0.0.0.0",
        "MCP_SERVER_PORT": "8000"
    },
    "args": [
        "run",
        "mcp-simple-tool"
    ],
    "command": "uv"
}

MCP Server Template for Cursor IDE

A simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP). Create your own repository from this template, modify the tools, and connect them to your Cursor IDE.

Server Mood Response

Quick Start

1. Click "Deploy to Heroku" button

2. After deployment, configure Cursor:
- Open Cursor Settings → Features
- Add new MCP server
- Use your Heroku URL with /sse path (e.g., https://<your-app-name>.herokuapp.com/sse)

3. Test your agent's mood in Cursor:
- Ask your agent "Please ask about our server mood and let me know how it is."
- The server will respond with a cheerful message and a heart ❤️

Alternative Setup Methods

You can run the server in three ways: using Docker, traditional Python setup, or directly in Cursor IDE.

Docker Setup

The project includes Docker support for easy deployment:

1. Initial setup:

# Clone the repository

git clone https://github.com/kirill-markin/weaviate-mcp-server.git

cd weaviate-mcp-server
Create environment file
cp .env.example .env

2. Build and run using Docker Compose:

# Build and start the server

docker compose up --build -d
View logs
docker compose logs -f
Check server status
docker compose ps
Stop the server
docker compose down

3. The server will be available at:
- SSE endpoint: http://localhost:8000/sse

4. Quick test:

# Test the server endpoint

curl -i http://localhost:8000/sse

5. Connect to Cursor IDE:
- Open Cursor Settings → Features
- Add new MCP server
- Type: Select "sse"
- URL: Enter http://localhost:8000/sse

Traditional Setup

First, install the uv package manager:

# Install uv on macOS
brew install uv
Or install via pip (any OS)
pip install uv

Start the server using either stdio (default) or SSE transport:

# Install the package with development dependencies
uv pip install -e ".[dev]"
Using stdio transport (default)
uv run mcp-simple-tool
Using SSE transport on custom port
uv run mcp-simple-tool --transport sse --port 8000
Run tests
uv run pytest -v

After installation, you can connect the server directly to Cursor IDE:

1. Right-click on the cursor-run-mcp-server.sh file in Cursor
2. Select "Copy Path" to copy the absolute path
3. Open Cursor Settings (gear icon)
4. Navigate to Features tab
5. Scroll down to "MCP Servers"
6. Click "Add new MCP server"
7. Fill in the form:
- Name: Choose any name (e.g., "my-mcp-server-1")
- Type: Select "stdio" (not "sse" because we run the server locally)
- Command: Paste the absolute path to cursor-run-mcp-server.sh that you copied earlier. For example: /Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh

Environment Variables

Available environment variables (can be set in .env):

Additional options

Installing via Smithery

To install MCP Server Template for Cursor IDE for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude

Glama server review

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

MCP Server Template for Cursor IDE

Quick Start

Alternative Setup Methods

Docker Setup

Create environment file

View logs

Check server status

Stop the server

Traditional Setup

Or install via pip (any OS)

Using stdio transport (default)

Using SSE transport on custom port

Run tests

Environment Variables

Additional options

Installing via Smithery

Glama server review

Install

More like this

Time

Sentry

Github

Git

GitLab

Context 7