MCP Factory Reference Architectures
A reference architecture blueprint showcasing multiple MCP skillset and abilities exposed through MCP server integrations.
This blueprint demonstrates a factory-style architecture for an MCP server that exposes multiple skillsets and abilities through separate MCP server integrations. Each skillset is designed to encapsulate specific functionalities, allowing for modular and organized management of AI capabilities.
This architecture is useful for scenarios where an organization wants to provide a suite of distinct AI functionalities to be consumed by desktop and mobile clients via MCP. Administrators can decide which services and tools to enable, allowing for flexible deployment and scaling of AI resources based on user needs. The centralized management of AI capabilities through this architecture not only simplifies administration but also enables better monitoring and optimization of resource usage, as well as improved security controls with clear boundaries.
This blueprint serves as a foundational example for building complex AI systems that leverage the Model Context Protocol to deliver diverse and specialized functionalities in a structured manner.
Skillset
This example uses a dedicated Skillset. Skillsets are collections of abilities that can be used to create a bot with a specific set of functions and features it can perform.
Ability
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Terraform Code
This blueprint can be deployed using Terraform, enabling infrastructure-as-code management of your ChatBotKit resources. Use the code below to recreate this example in your own environment.
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