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mcp-rag-agent
🔍 Build a production-ready RAG system that combines LangGraph and MCP integration for precise, context-aware AI-driven question answering.
1stars
1forks
Python
agentic-aiagentic-ragai-agentsawsclaudedeepseekfunction-callinglmstudiolocal-llmmodel-context-protocolmoonshotmulti-agent
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest alexinaldojunior/mcp-rag-agentAuto-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 mcp-rag-agent
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp-rag-agent": {
"command": "uvx",
"args": [
"mcp-rag-agent"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mcp-rag-agent — 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