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Agentic-AI-ChatBot-MCP
An agentic AI chatbot built with the Model Context Protocol (MCP) using FastAPI and Groq-hosted LLMs. It includes an MCP server and client, tool orchestration (calculator and weather), vector memory with ChromaDB, and LLM-driven reasoning for complex, multi-step user queries.
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Python
Quality signals
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InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest SDM002/Agentic-AI-ChatBot-MCPAuto-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-chatbot-mcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"agentic-ai-chatbot-mcp": {
"command": "uvx",
"args": [
"agentic-ai-chatbot-mcp"
]
}
}
}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-chatbot-mcp — 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