Target Operating Model: OpenFaaS MCP Server Deployment¶
Overview¶
This Target Operating Model (TOM) outlines the deployment of a Model Context Protocol (MCP) server using OpenFaaS. OpenFaaS provides a serverless framework to package server functionalities as containerized functions, enabling convenient deployment and autoscaling on Kubernetes, OpenShift, or a standalone server.
Executive Summary¶
Deploying MCP server operations with OpenFaaS ensures: - Scalability: Dynamic autoscaling based on demand - Operational Efficiency: Lower overhead by utilizing serverless container functions - Flexibility: Support for any language, provided in a container - Ease of Management: Web-based and CLI management tools
Function Preparation and Deployment¶
Step-by-Step Deployment¶
1. Prepare MCP Server Code¶
- Ready your MCP server executable code.
- Use a command such as:
2. Scaffold an OpenFaaS Function¶
- Initialize your project:
- This command will structure your function directory with Dockerfile support.
3. Customize Dockerfile¶
- Edit the Dockerfile to install dependencies and set the execution command:
handler.sh
facilitates additional custom execution if needed, controlled by thefprocess
environment.
4. Setup OpenFaaS Function Configuration¶
- Configure
mcp-server.yml
: - Update with your Docker Hub credentials.
5. Build and Deploy¶
- Build and push the Docker image:
- Deploy your function to the OpenFaaS gateway:
6. Confirm and Test¶
- Confirm deployment:
- Invoke the function:
Architectural Benefits¶
Function Management¶
- Easy Scaling: Functions scale automatically based on demand
- Efficient Resource Allocation: Only utilize resources during active requests
Development and Operations¶
- Language Agnostic: Supported deployment of any language as long as it fits within a container
- Robust Tooling: OpenFaaS CLI and UI simplify function management
Key Notes¶
- The
fprocess
environment variable defines function execution. It tailors the OpenFaaS handling process uniquely for any MCP node command. - OpenFaaS supports a multi-cloud setup, offering flexibility in hosting serverless functions across varied infrastructures.
Business Impact¶
Enhanced Flexibility: Allows deploying serverless MCP instances at scale with lower costs and enhanced manageability.
Improved Resource Utilization: Ensures optimal cost savings by running functions only when needed, reducing idle time to zero.
Deploying an MCP server as an OpenFaaS function provides a modern, cloud-native approach to dynamic serverless deployments, fully leveraging OpenFaaS's robust features for maximum efficiency and ease of operation.