fastestmcp
🚀 Generate production-ready MCP servers and clients in seconds with FastestMCP, ensuring efficiency and speed for your projects.
claude mcp add --transport stdio mo-mostafa-123-fastestmcp python -m fastestmcp
How to use
fastestmcp is a command line tool that generates MCP servers and clients quickly using templates and an extensible CLI. The project provides a downloadable distribution and a Python-based CLI that you can invoke after installing Python. You can use the built-in create commands to scaffold either a server or a client, and then customize the generated MCP artifacts using the included templates. Typical workflows involve creating a server with a given name and then running or deploying the resulting MCP server bundle. The CLI also ships with templates for basic and advanced setups to help you get started faster.
To generate a server, you would run the CLI command to create a server and specify a name, for example: fastestmcp create server --name YourServerName. Similarly, to generate a client, use fastestmcp create client --name YourClientName. After generation, follow the resulting project structure to implement your MCP logic, start the server, and connect clients as needed. The templates are located in the templates folder after installation, providing you with ready-made scaffolds that you can customize to fit your environment.
How to install
Prerequisites:
- Python 3.6 or higher installed on your machine
- Access to a terminal or command prompt
Installation steps:
- Download the fastestmcp distribution from the Releases page or the provided download link in the README.
- Ensure Python is on your system PATH. You can verify with:
- Windows: python --version
- macOS/Linux: python3 --version
- Install any required dependencies if the distribution ships with a requirements file. For example:
- Windows/macOS/Linux: pip install -r requirements.txt
- Run the CLI from the downloaded distribution or install it globally if a setup script is provided. Typical invocation (as shown in the README) is:
- python -m fastestmcp
If you prefer a global install and your distribution supports it, you could install via pip (example):
- pip install fastestmcp
- fastestmcp --help
Note: The README indicates availability of platform-specific executables (Windows .exe, macOS .dmg, Linux binary). If you are using those, follow the corresponding platform-specific installation steps described in the README (download the appropriate file, run the installer or grant execute permissions, and follow on-screen prompts).
Additional notes
Tips and considerations:
- Ensure you are downloading the correct distribution for your OS (Windows/macOS/Linux).
- If Python is not on your PATH, you may need to provide the full path to the Python executable when invoking the CLI.
- The templates folder contains ready-made server/client scaffolds; explore them to understand the expected MCP structure.
- Regularly check the Releases page for updates and new templates or features.
- If you encounter permission issues on Linux, you may need to mark the binary as executable (chmod +x fastestmcp-linux) prior to running.
- For large or production deployments, consider packaging the generated MCP server with your deployment tooling (systemd, Docker, etc.).
Related MCP Servers
mcp-agent
Build effective agents using Model Context Protocol and simple workflow patterns
nerve
The Simple Agent Development Kit.
prometheus
A Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
mcp -odoo
A Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.
neurolink
Universal AI Development Platform with MCP server integration, multi-provider support, and professional CLI. Build, test, and deploy AI applications with multiple ai providers.
zin -client
MCP Client which serves as bridge between mcp servers and local LLMs running on Ollama, Created for MCP Servers Developed by Me, However other MCP Servers may run as well