mamarche/chuckai
3.3
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This project demonstrates how to build a serverless AI-powered application using the Model Context Protocol (MCP) with Azure Functions, showcasing dynamic interaction between AI agents and tools exposed through MCP servers.
Tools
Functions exposed to the LLM to take actions
get_random_joke
Retrieves a random Chuck Norris joke from the database.
save_new_joke
Saves a new joke to the database.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client