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agentic-rag-mcp-chatbot
An agentic Retrieval-Augmented Generation (RAG) chatbot that answers user questions over diverse document formats (PDF, PPTX, CSV, DOCX, TXT/Markdown). Agents communicate via a Model Context Protocol (MCP) message bus. Built with LangChain, FAISS, and Streamlit, it parses, retrieves, and generates answers with source c
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Python
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StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest SunilVarma24/agentic-rag-mcp-chatbotAuto-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-rag-mcp-chatbot
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"agentic-rag-mcp-chatbot": {
"command": "uvx",
"args": [
"agentic-rag-mcp-chatbot"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
agentic-rag-mcp-chatbot — 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