Dynamic MCP Search and Install Architecture
A reference architecture for an AI agent that can search for and install Model Context Protocol (MCP) servers dynamically.
This blueprint demonstrates a dynamic architecture for an MCP server that allows the AI agent to search for and install Model Context Protocol (MCP) servers from a known registry.
The architecture features a MCP server integration that connected to the main skillset that is composed of two abilities: one for searching available MCP servers and another for installing a selected MCP server by its URL.
By combining search and installation capabilities, this blueprint enables agents to discover and integrate new MCP servers on-demand, creating a self-extending system that grows its functionality as needed. This approach is particularly valuable when building agents that need to adapt to evolving requirements without manual reconfiguration.
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.
Search MCP Servers
Search for Model Context Protocol (MCP) servers by name or descriptionInstall MCP
Bring MCP (model context protocol) functions into context
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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