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agentic-ai-protocols
Tracking and experimenting with agent communication protocols. Currently focused on MCP (Model Context Protocol) with hands-on examples and insights.
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Python
modelcontextprotocol
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest DevHammad0/agentic-ai-protocolsAuto-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).
Or install manually
uvx agentic-ai-protocols
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"agentic-ai-protocols": {
"command": "uvx",
"args": [
"agentic-ai-protocols"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
agentic-ai-protocols — 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