Skip to main content
Glama

MockLoop MCP Server

Official
by MockLoop
installation.md8.67 kB
# Installation This guide will walk you through installing MockLoop MCP and setting up your development environment. ## Prerequisites Before installing MockLoop MCP, ensure you have the following prerequisites: ### System Requirements - **Python 3.9+** (Python 3.10+ recommended) - **pip** (Python package installer) - **Docker and Docker Compose** (for running generated mocks in containers) - **Git** (for cloning the repository) ### MCP Client You'll need an MCP client to interact with MockLoop MCP. Supported clients include: - **Cline (VS Code Extension)**: Recommended for development - **Claude Desktop**: For desktop usage - **Custom MCP clients**: Any client supporting the MCP protocol ## Installation Methods ### Method 1: From PyPI (Recommended) The easiest way to install MockLoop MCP is from PyPI: ```bash # Install the latest stable version pip install mockloop-mcp # Or install with specific version pip install mockloop-mcp==2.1.0 # Install with optional dependencies pip install mockloop-mcp[dev] # Development tools pip install mockloop-mcp[docs] # Documentation tools pip install mockloop-mcp[all] # All optional dependencies ``` #### Virtual Environment (Recommended) For better dependency management, use a virtual environment: ```bash # Create virtual environment python3 -m venv mockloop-env source mockloop-env/bin/activate # On Windows: mockloop-env\Scripts\activate # Install MockLoop MCP pip install mockloop-mcp # Verify installation mockloop-mcp --version ``` ### Method 2: Development Installation For contributors or advanced users who want the latest development version: 1. **Clone the Repository** ```bash git clone https://github.com/mockloop/mockloop-mcp.git cd mockloop-mcp ``` 2. **Create and Activate Virtual Environment** ```bash python3 -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate ``` 3. **Install in Development Mode** ```bash pip install -e ".[dev,test,docs]" ``` ### Method 3: Using pipx (Isolated Installation) For system-wide installation without affecting other Python packages: ```bash # Install pipx if not already installed pip install pipx # Install MockLoop MCP with pipx pipx install mockloop-mcp # Run directly mockloop-mcp --version ``` ## Dependencies MockLoop MCP includes the following key dependencies: ### Core Dependencies - **FastAPI**: Web framework for generated mock servers - **Uvicorn**: ASGI server for running FastAPI applications - **Jinja2**: Template engine for code generation - **PyYAML**: YAML parsing for OpenAPI specifications - **Requests**: HTTP library for fetching remote specifications ### Enhanced Features - **aiohttp**: Async HTTP client functionality - **SQLite3**: Database for request logging (built into Python) ### MCP Framework - **mcp[cli]**: Model Context Protocol SDK ## Verification After installation, verify that MockLoop MCP is working correctly: 1. **Check Python Version** ```bash python --version # Should show Python 3.9 or higher ``` 2. **Verify MockLoop MCP Installation** ```bash # Check if MockLoop MCP is installed pip show mockloop-mcp # Check version mockloop-mcp --version ``` 3. **Verify Dependencies** ```bash pip list | grep -E "(fastapi|uvicorn|mcp|mockloop)" ``` 4. **Test MCP Server** ```bash # For PyPI installation mockloop-mcp --help # For development installation mcp dev src/mockloop_mcp/main.py ``` 5. **Test Python Import** ```bash python -c "import mockloop_mcp; print('MockLoop MCP imported successfully')" ``` You should see output indicating successful import and MCP server availability. ## Docker Setup (Optional) If you plan to use Docker for running generated mock servers: 1. **Install Docker** - **Linux**: Follow the [official Docker installation guide](https://docs.docker.com/engine/install/) - **macOS**: Install [Docker Desktop for Mac](https://docs.docker.com/desktop/mac/install/) - **Windows**: Install [Docker Desktop for Windows](https://docs.docker.com/desktop/windows/install/) 2. **Install Docker Compose** ```bash # Usually included with Docker Desktop docker-compose --version ``` 3. **Verify Docker Installation** ```bash docker --version docker run hello-world ``` ## Development Tools (Optional) For development and advanced usage, consider installing: ### Code Quality Tools ```bash pip install black flake8 mypy pytest ``` ### Documentation Tools ```bash pip install mkdocs mkdocs-material mkdocstrings[python] ``` ## Troubleshooting ### PyPI Installation Issues #### Package Not Found If you get "No matching distribution found": ```bash # Update pip to latest version pip install --upgrade pip # Check if package exists pip search mockloop-mcp # Try with explicit index pip install --index-url https://pypi.org/simple/ mockloop-mcp ``` #### Version Conflicts If you encounter dependency conflicts: ```bash # Check installed packages pip list | grep mockloop # Uninstall and reinstall pip uninstall mockloop-mcp pip install mockloop-mcp # Use dependency resolver pip install --upgrade --force-reinstall mockloop-mcp ``` #### SSL Certificate Issues If you encounter SSL errors: ```bash # Upgrade certificates (macOS) /Applications/Python\ 3.x/Install\ Certificates.command # Use trusted hosts (temporary fix) pip install --trusted-host pypi.org --trusted-host pypi.python.org mockloop-mcp # Update pip and certificates pip install --upgrade pip certifi ``` #### Network/Proxy Issues If installation fails due to network issues: ```bash # Use proxy pip install --proxy http://user:password@proxy.server:port mockloop-mcp # Use different index pip install -i https://pypi.python.org/simple/ mockloop-mcp # Increase timeout pip install --timeout 60 mockloop-mcp ``` #### Import Errors After Installation If you can install but can't import: ```bash # Check installation location pip show mockloop-mcp # Verify Python path python -c "import sys; print('\n'.join(sys.path))" # Reinstall in current environment pip uninstall mockloop-mcp pip install mockloop-mcp # Check for conflicting installations pip list | grep mockloop ``` ### Installation Verification After PyPI installation, verify everything works: ```bash # Check MockLoop MCP version mockloop-mcp --version # Test MCP server startup mockloop-mcp --help # Verify Python can import the package python -c "import mockloop_mcp; print('Installation successful!')" # Check available tools python -c "from mockloop_mcp.main import main; print('MCP tools available')" ``` ### Common Issues #### Python Version Issues If you encounter Python version issues: ```bash # Check available Python versions python3 --version python3.10 --version python3.11 --version # Use specific version for virtual environment python3.10 -m venv .venv ``` #### Permission Issues (Linux/macOS) If you encounter permission issues: ```bash # Use user installation pip install --user -r requirements.txt # Or fix permissions sudo chown -R $USER:$USER ~/.local ``` #### Windows Path Issues On Windows, ensure Python is in your PATH: 1. Open System Properties → Advanced → Environment Variables 2. Add Python installation directory to PATH 3. Restart command prompt #### Docker Issues If Docker commands fail: ```bash # Check Docker service status (Linux) sudo systemctl status docker # Start Docker service (Linux) sudo systemctl start docker # Add user to docker group (Linux) sudo usermod -aG docker $USER # Log out and back in ``` ### Getting Help If you encounter issues during installation: 1. **Check the [Troubleshooting Guide](../advanced/troubleshooting.md)** 2. **Search [GitHub Issues](https://github.com/mockloop/mockloop-mcp/issues)** 3. **Create a new issue** with: - Your operating system and version - Python version - Complete error message - Steps to reproduce ## Next Steps Once installation is complete, proceed to: - **[Configuration](configuration.md)**: Configure MockLoop MCP for your environment - **[Quick Start](quick-start.md)**: Generate your first mock server - **[First Mock Server](first-mock-server.md)**: Detailed walkthrough of creating a mock server ## Environment Variables MockLoop MCP supports several environment variables for configuration: ```bash # Optional: Set custom port for generated mocks export MOCKLOOP_DEFAULT_PORT=8000 # Optional: Set default output directory export MOCKLOOP_OUTPUT_DIR=./generated_mocks # Optional: Enable debug logging export MOCKLOOP_DEBUG=true ``` Add these to your shell profile (`.bashrc`, `.zshrc`, etc.) for persistence.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MockLoop/mockloop-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server