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CvNoobLrx
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setup

Guide interactive setup of a modular RAG MCP server from clone to dashboard launch.

Updated Apr 15, 2026
Search Tags:#rag#configuration#mcp#dashboard#setup#provider scaffolding
One-click install
npx skills add https://github.com/CvNoobLrx/rag-mcp-modular-agent --skill setup-cvnooblrx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: setup
Source: https://github.com/CvNoobLrx/rag-mcp-modular-agent/tree/main/.github/skills/setup
Command: npx skills add https://github.com/CvNoobLrx/rag-mcp-modular-agent --skill setup-cvnooblrx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of first-time project setup by guiding you through provider selection, credential entry, dependency installation, configuration generation, and dashboard launch for a modular RAG MCP server.

Core Features & Use Cases

  • Interactive environment setup: Walks users through choosing LLM, embedding, vision, and rerank providers with sensible defaults.
  • Config generation and validation: Builds a ready-to-use settings file from templates, creates required directories, and checks the configuration before launch.
  • Provider scaffolding: Automatically adds support for unimplemented providers by following the plugin architecture when the user selects Qwen, Gemini, or similar endpoints.
  • Auto-recovery for startup issues: Detects common installation or runtime failures and retries with guided fixes to get the dashboard running.
  • Use case: A new user can take a fresh clone of the repository, configure API keys, and launch the dashboard without manually editing multiple files.

Quick Start

Tell the setup skill to initialize this project and walk you through provider selection, configuration, dependency installation, and dashboard startup.

Frequently Asked Questions about setup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a modular RAG MCP server from a clean clone?▼

To set up a modular RAG MCP server, you need interactive guidance for provider selection, credential entry, dependency installation, and configuration generation. This process bootstraps the environment and launches the dashboard without manual file editing.

Can I configure local model backends for my RAG MCP server?▼

Yes, you can configure local model backends. The interactive setup walks you through selecting LLM, embedding, vision, and rerank providers, applying to both OpenAI-compatible endpoints and local model backends.

How do I add an unimplemented provider like Qwen or Gemini to my RAG MCP server?▼

To add an unimplemented provider like Qwen or Gemini, the setup process automatically applies provider scaffolding by following the existing plugin architecture, generating the necessary configuration files and directories.

What is the best way to fix RAG MCP server startup failures?▼

The best way to fix RAG MCP server startup failures is through the built-in auto-recovery mechanism. It detects common installation or runtime errors and retries startup with guided fixes to get the dashboard running.

Does the RAG MCP server setup validate my configuration before launch?▼

Yes, the RAG MCP server setup validates your configuration before launch. It builds a ready-to-use settings file from templates, creates required directories, and checks model settings to ensure a successful dashboard startup.

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