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mcpsampling
A comprehensive demonstration of the Model Context Protocol (MCP) using Spring AI with multiple AI providers including OpenAI and Ollama. This project showcases how to build both MCP servers and clients that can route requests to different Large Language Models (LLMs) based on model preferences.
3stars
0forks
Java
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest roryp/mcpsamplingAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/roryp/mcpsampling.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mcpsampling — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt