This blueprint demonstrates a dynamic architecture for an MCP server that allows the AI agent to list and install skillsets from a known catalogue of tools.
The architecture features a MCP server integration that connected to the main skillset that is composed of two abilities: one for listing available skillsets and another for installing a selected skillset by its ID. In addition, there are 3 separate skillsets that can be installed by the calling agent. Each skillset can contain a number of additional abilities (currently empty in this example) that provide specific functionalities.
This architecture exemplif…
This blueprint demonstrates a dynamic architecture for an MCP server that allows the AI agent to list and install skillsets from a known catalogue of tools.
The architecture features a MCP server integration that connected to the main skillset that is composed of two abilities: one for listing available skillsets and another for installing a selected skillset by its ID. In addition, there are 3 separate skillsets that can be installed by the calling agent. Each skillset can contain a number of additional abilities (currently empty in this example) that provide specific functionalities.
This architecture exemplifies the effective use of ChatBotKit’s resource management and skillset capabilities to create an AI system that can dynamically adapt its capabilities based on available skillsets. The modular design allows for easy scalability and adaptability, making it suitable for various applications where dynamic skillset management is essential.
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.
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List Skillsets
Retrieve the complete list of available skillsets.
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Install Skillset
Bring a skillset into context by its ID
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