Prompt Discovery & Retrieval Lab

See how an MCP client initializes with a server, discovers prompt templates through prompts/list, and retrieves rendered messages through prompts/get.

GuidedNo API keys in LabMCP

Measured case

Select a recorded MCP prompts exchange. The Lab replays frozen traces — it does not call an MCP server or invoke an LLM.

Recorded MCP exchange — no live server call.

Discover PromptsThe client initializes and asks the server what prompt templates it provides — without calling prompts/get.Get a PromptAfter discovery, the client selects a prompt and retrieves its rendered messages through prompts/get.Prompt with ArgumentsAfter discovery, the client supplies arguments and retrieves a multi-message prompt template through prompts/get.Invalid PromptAfter discovery, the client requests a prompt name the server does not expose and the get is rejected.

Choose a case and view the recorded MCP prompts exchange.

Previous Lab

MCP #2 covers resource discovery and read. MCP #3 covers prompt discovery and retrieval.

← Resource Discovery & Read

Continue Learning

Guides that explain MCP as a client/server protocol for tools, resources, and prompts.

Implementation

Run the measured Cookbook example locally.

MCP Prompts Cookbook

Related Tools

Tools commonly used with MCP hosts and clients.

Related Rankings

See how this stack compares in DataAIHub rankings.

Best AI Agent Frameworks

Lab ID mcp-prompts · guided / precomputed