mcp-installer

mcp-installer

4.5

mcp-installer is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.

If you are the rightful owner of mcp-installer and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

mcp-installer is a server that facilitates the installation of other MCP servers using Claude.

Evaluation
Total Score: 6/10

Evaluation Summary

  • Strengths:
    1. Accuracy/Correctness:
    • The agent provides accurate and detailed instructions for technical tasks such as installing MCP servers, cloning GitHub repositories, and setting up Node.js development environments. The commands and steps are generally correct and align with standard practices.
    1. Usefulness / Clarity:
    • The responses are clear, well-structured, and easy to follow, making them accessible to users with varying levels of technical expertise. The inclusion of step-by-step guides enhances the usability of the information provided.
  • Weaknesses:
    1. Completeness:
    • The agent often omits important details or additional steps that could enhance the completeness of the instructions, such as configuration details or handling specific scenarios (e.g., missing requirements.txt files).
    1. Consistency with Claimed Capabilities:
    • While the agent claims to assist with installing MCP servers using tools from the anaisbetts/mcp-installer server, the responses do not fully leverage these capabilities or provide specific guidance related to MCP server installations.
    1. Real-Time Information Retrieval:
    • The agent is unable to access real-time information or search tools, which limits its ability to provide up-to-date news or developments, impacting its effectiveness in information retrieval tasks.
  • Suggestions for Improvement:
    • Enhance the completeness of responses by including additional configuration details and addressing potential variations in project setups.
    • Align responses more closely with the agent's claimed specialization in MCP server installations, providing specific guidance and examples.
    • Improve access to real-time information retrieval tools to fulfill the agent's claimed capability of retrieving up-to-date information.
  • Overall Quality Score:
  • The agent demonstrates strong technical knowledge and clarity in its responses but falls short in completeness and consistency with its claimed capabilities. The lack of real-time information retrieval also impacts its overall effectiveness.
  • Final Score: 6/10
  • Test case 1
    Score: 6/10
    Can you guide me through the process of installing an MCP server using npx from the `anaisbetts/mcp-installer` server?

    Sure! I can guide you through the process of installing an MCP server using npx from the anaisbetts/mcp-installer server. Here's a step-by-step guide:

    1. Prerequisites:

      • Ensure you have Node.js and npm installed on your system. You can verify this by running node -v and npm -v in your terminal. If not installed, download and install them from the Node.js website.
    2. Open Terminal:

      • Open your terminal or command prompt where you want to install the MCP server.
    3. Run npx Command:

      • Use the npx command to install the MCP server. The command will look something like this:
        npx anaisbetts/mcp-installer
        
      • This command will fetch the package from the npm registry and execute it.
    4. Follow Installation Prompts:

      • If there are any prompts during the installation, follow them to complete the setup.
    5. Verify Installation:

      • Once the installation is complete, you can verify it by checking if the MCP server is running correctly. This might involve running a specific command or accessing a URL to see if the server is up.

    If you want me to execute this installation for you using the available tools, please let me know!

  • Test case 2
    Score: 5/10
    Can you retrieve the latest news about advancements in artificial intelligence published in the last week and summarize the most significant development?

    It seems I'm currently unable to access search tools to retrieve the latest news about advancements in artificial intelligence. However, you can easily find this information by checking major news websites or trusted tech news platforms such as:

    1. TechCrunch
    2. Wired
    3. MIT Technology Review
    4. The Verge
    5. Ars Technica

    If you have a specific aspect of artificial intelligence you're interested in, let me know and I can help you with that!

  • Test case 3
    Score: 7/10
    Can you provide a step-by-step guide on how to clone a repository from GitHub and run a Python script from it on a local machine?

    Certainly! Here's a step-by-step guide on how to clone a repository from GitHub and run a Python script from it on your local machine:

    Step 1: Install Git

    1. Check if Git is installed: Open your terminal (Command Prompt on Windows, Terminal on macOS/Linux) and type git --version. If Git is installed, you'll see the version number.
    2. Install Git: If Git is not installed, download it from git-scm.com and follow the installation instructions for your operating system.

    Step 2: Clone the Repository

    1. Find the repository URL: Go to the GitHub page of the repository you want to clone. Click the green "Code" button and copy the URL (HTTPS or SSH).
    2. Open your terminal: Navigate to the directory where you want to clone the repository using the cd command.
    3. Clone the repository: Use the git clone command followed by the repository URL. For example:
      git clone https://github.com/username/repository-name.git
      

    Step 3: Navigate to the Cloned Repository

    1. Change directory: Use the cd command to navigate into the cloned repository folder:
      cd repository-name
      

    Step 4: Set Up the Python Environment

    1. Check Python installation: Ensure Python is installed by typing python --version or python3 --version in your terminal.
    2. Install virtualenv: If you want to create a virtual environment, install virtualenv using pip:
      pip install virtualenv
      
    3. Create a virtual environment: Run the following command to create a virtual environment:
      virtualenv venv
      
      or for Python 3:
      python3 -m venv venv
      
    4. Activate the virtual environment:
      • On Windows:
        venv\Scripts\activate
        
      • On macOS/Linux:
        source venv/bin/activate
        

    Step 5: Install Dependencies

    1. Install required packages: If the repository has a requirements.txt file, install the dependencies using:
      pip install -r requirements.txt
      

    Step 6: Run the Python Script

    1. Run the script: Execute the Python script using the python command. For example, if the script is named script.py, run:
      python script.py
      

    Step 7: Deactivate the Virtual Environment

    1. Deactivate: Once you're done, deactivate the virtual environment by typing:
      deactivate
      

    This guide should help you clone a GitHub repository and run a Python script from it on your local machine. If you encounter any issues, feel free to ask for further assistance!

  • Test case 4
    Score: 7/10
    Can you explain the advantages and potential challenges of using npx to install packages, and how it compares to installing packages globally using npm?

    Certainly! Let's break down the advantages and potential challenges of using npx to install packages, and compare it to installing packages globally using npm.

    Advantages of Using npx:

    1. No Global Installation Required: npx allows you to run Node.js packages without installing them globally. This means you can execute a package directly without cluttering your global namespace.

    2. Version Management: With npx, you can specify the exact version of a package you want to run. This is useful for testing or using different versions of a tool without affecting the global environment.

    3. Temporary Usage: If you only need a package for a one-time task, npx is ideal because it downloads the package temporarily and removes it after execution.

    4. Security: By not installing packages globally, you reduce the risk of outdated or vulnerable packages lingering in your system.

    5. Convenience: It simplifies the process of running CLI tools that you don't use frequently enough to justify a global installation.

    Potential Challenges of Using npx:

    1. Performance: Since npx downloads the package every time you run it, it can be slower compared to running a globally installed package, especially if the package is large.

    2. Network Dependency: You need an internet connection to download the package each time you use npx, which can be a limitation in offline environments.

    3. Caching Issues: While npx does cache packages temporarily, there might be inconsistencies or issues if the cache is not managed properly.

    Comparison with Global Installation using npm:

    • Global Installation with npm:

      • Pros:
        • Faster execution after the initial installation since the package is already available on your system.
        • No need for an internet connection after the package is installed.
      • Cons:
        • Can lead to version conflicts if different projects require different versions of the same package.
        • Requires manual updates to keep packages up-to-date.
        • Increases the risk of cluttering the global namespace with unused packages.
    • Using npx:

      • Pros:
        • Avoids global namespace pollution.
        • Ensures you are always using the latest version unless specified otherwise.
      • Cons:
        • Slower due to repeated downloads.
        • Requires an internet connection for each execution.

    In summary, npx is a great tool for running packages on an as-needed basis without the need for global installation, making it ideal for temporary or infrequent use. However, for packages that you use regularly, installing them globally with npm might be more efficient in terms of performance and offline availability.

  • Test case 5
    Score: 7/10
    Can you guide me through the process of setting up a local development environment for a Node.js project, including installing necessary tools and configuring the project for debugging?

    Setting up a local development environment for a Node.js project involves several steps, including installing Node.js, setting up a code editor, installing necessary packages, and configuring the project for debugging. Here's a step-by-step guide:

    Step 1: Install Node.js

    1. Download Node.js: Go to the Node.js official website and download the LTS (Long Term Support) version for your operating system.
    2. Install Node.js: Run the installer and follow the instructions. This will also install npm (Node Package Manager), which is used to install Node.js packages.

    Step 2: Set Up a Code Editor

    1. Choose a Code Editor: Popular choices include Visual Studio Code, Atom, and Sublime Text. Visual Studio Code is highly recommended for its built-in support for Node.js and debugging features.
    2. Install the Code Editor: Download and install your chosen code editor from its official website.

    Step 3: Initialize Your Node.js Project

    1. Create a Project Directory: Open your terminal or command prompt and create a new directory for your project.
      mkdir my-node-project
      cd my-node-project
      
    2. Initialize the Project: Run the following command to create a package.json file, which will manage your project's dependencies.
      npm init -y
      

    Step 4: Install Necessary Packages

    1. Install Express (Optional): If you're building a web application, you might want to install Express.js.
      npm install express
      
    2. Install Other Packages: Depending on your project needs, install other packages using npm. For example, if you need to use a database, you might install mongoose for MongoDB.

    Step 5: Configure Debugging

    1. Set Up Debugging in Visual Studio Code:

      • Open your project in Visual Studio Code.
      • Go to the "Run and Debug" view by clicking on the play icon in the sidebar.
      • Click on "create a launch.json file" to configure debugging.
      • Choose "Node.js" from the list of environments.
      • This will create a launch.json file in the .vscode directory with default configurations.
    2. Modify launch.json if needed:

      • You can customize the launch.json file to suit your project's needs. For example, you can specify the entry point of your application or set environment variables.

    Step 6: Run and Debug Your Project

    1. Start Your Application: You can start your application by running:

      node index.js
      

      Replace index.js with the entry point of your application.

    2. Debug Your Application: In Visual Studio Code, set breakpoints in your code, and start debugging by clicking the green play button in the "Run and Debug" view.

    Additional Tools

    • Version Control: Set up Git for version control. You can initialize a Git repository in your project directory using:

      git init
      
    • Linting and Formatting: Install ESLint and Prettier for code linting and formatting.

      npm install eslint prettier --save-dev
      
    • Environment Variables: Use a package like dotenv to manage environment variables.

      npm install dotenv
      

    By following these steps, you should have a fully functional local development environment for your Node.js project. If you have any specific questions or need further assistance, feel free to ask!