Audio RAG Server

v1.0.0Knowledge & Memorystable

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

mcp-audio-rag-servermcpai-integration
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What is Audio RAG Server?

Audio RAG Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables transcription of audio files using google gemini ai and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and...

Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables transcription of audio files using Google Gemini AI

Use Cases

Transcribe audio files from meetings, podcasts, and lectures.
Ask natural language questions about audio content.
matheusslg

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-audio-rag-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 Audio RAG Server

What is Audio RAG Server?

Audio RAG Server is a Model Context Protocol (MCP) server that enables transcription of audio files using google gemini ai and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Audio RAG Server?

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

Which AI clients work with Audio RAG Server?

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

Is Audio RAG Server free to use?

Yes, Audio RAG Server 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": { "mcp-audio-rag-server": { "command": "npx", "args": ["-y", "mcp-audio-rag-server"] } } }

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

Read the full setup guide →

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