FAQ RAG

v1.0.0Knowledge & Memorystable

Enables semantic search and question-answering over FAQ documents using RAG (Retrieval-Augmented Generation) with OpenAI embeddings and in-memory vector similarity.

faq-rag-mcp-servermcpai-integration
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What is FAQ RAG?

FAQ RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search and question-answering over faq documents using rag (retrieval-augmented generation) with openai embeddings and in-memory vector similarity.

Enables semantic search and question-answering over FAQ documents using RAG (Retrieval-Augmented Generation) with OpenAI embeddings and in-memory vector similarity.

This server falls under the Knowledge & Memory and Search & Data Extraction categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables semantic search and question-answering over FAQ docu

Use Cases

Search FAQ documents semantically and find relevant answers.
Answer questions using retrieval-augmented generation.
rhamsagar-sf

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx faq-rag-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about FAQ RAG

What is FAQ RAG?

FAQ RAG is a Model Context Protocol (MCP) server that enables semantic search and question-answering over faq documents using rag (retrieval-augmented generation) with openai embeddings and in-memory vector similarity. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install FAQ RAG?

Follow the installation instructions on the FAQ RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with FAQ RAG?

FAQ RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is FAQ RAG free to use?

Yes, FAQ RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "faq-rag-mcp-server": { "command": "npx", "args": ["-y", "faq-rag-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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