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RAG-MCP
Simple RAG implementation from scratch using MCP, focusing on Perception, Memory, Decision and Action
13stars
1forks
Python
agenticagentic-ragai-agentsmodel-context-protocolproduct-searchretrieval-augmented-generation
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest cr21/RAG-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 rag-mcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"rag-mcp": {
"command": "uvx",
"args": [
"rag-mcp"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
rag-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