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Agentic_RAG
Agentic RAG Chatbot with MCP is a multi-format document QA system built using an agent-based architecture with message passing through the Model Context Protocol (MCP). It enables users to upload documents (PDF, DOCX, PPTX, CSV, TXT) and ask natural language questions, receiving accurate answers grounded in document co
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InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest kavyasri-12/Agentic_RAGAuto-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 Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"agentic_rag": {
"command": "uvx",
"args": [
"agentic_rag"
]
}
}
}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 — 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