Local Speech-to-Text MCP Server

by SmartLittleApps

476 downloads Not rated yet MIT license

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About

A high-performance Model Context Protocol (MCP) server providing local speech-to-text transcription using whisper.cpp, optimized for Apple Silicon.

Details

License: MIT license

Explore

- 🏠 100% Local Processing: No cloud APIs, complete privacy
- 🚀 Apple Silicon Optimized: 15x+ real-time transcription speed
- 🎤 Speaker Diarization: Identify and separate multiple speakers
- 🎵 Universal Audio Support: Automatic conversion from MP3, M4A, FLAC, and more
- 📝 Multiple Output Formats: txt, json, vtt, srt, csv
- 💾 Low Memory Footprint: <2GB memory usage
- 🔧 TypeScript: Full type safety and modern development

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Local Speech-to-Text MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

From the repository

- Node.js 18+
- whisper.cpp (brew install whisper-cpp)
- For audio format conversion: ffmpeg (brew install ffmpeg) - automatically handles MP3, M4A, FLAC, OGG, etc.
- For speaker diarization: Python 3.8+ and HuggingFace token (free)

Add to your MCP client configuration:

{
  "mcpServers": {
    "whisper-mcp": {
      "command": "node",
      "args": ["path/to/local-stt-mcp/mcp-server/dist/index.js"]
    }
  }
}

`transcribe`

Basic audio transcription with automatic format conversion

`transcribe_long`

Long audio file processing with chunking and format conversion

`transcribe_with_speakers`

Speaker diarization and transcription with format support

`list_models`

Show available whisper models

`health_check`

System diagnostics

`version`

Server version information

| Tool | Description |
|------|-------------|
| transcribe | Basic audio transcription with automatic format conversion |
| transcribe_long | Long audio file processing with chunking and format conversion |
| transcribe_with_speakers | Speaker diarization and transcription with format support |
| list_models | Show available whisper models |
| health_check | System diagnostics |
| version | Server version information |

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "local speech-to-text mcp server": {
            "whisper-mcp": {
                "command": "node",
                "args": [
                    "path/to/local-stt-mcp/mcp-server/dist/index.js"
                ]
            }
        }
    }
}

McpServers

{
    "whisper-mcp": {
        "command": "node",
        "args": [
            "path/to/local-stt-mcp/mcp-server/dist/index.js"
        ]
    }
}

A high-performance Model Context Protocol (MCP) server providing local speech-to-text transcription using whisper.cpp, optimized for Apple Silicon.

🎯 Features

🚀 Quick Start

Prerequisites

Supported Audio Formats

- Native whisper.cpp formats: WAV, FLAC
- Auto-converted formats: MP3, M4A, AAC, OGG, WMA, and more
- Automatic conversion: Powered by ffmpeg with 16kHz/mono optimization for whisper.cpp
- Format detection: Automatic format detection and conversion when needed

Installation

```bash
git clone https://github.com/your-username/local-stt-mcp.git
cd local-stt-mcp/mcp-server
npm install
npm run build

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About

Details

Explore

Setting up with Highlight

From the repository

transcribe

transcribe_long

transcribe_with_speakers

list_models

health_check

version

Claude Desktop / Cursor

McpServers

🎯 Features

🚀 Quick Start

Prerequisites

Supported Audio Formats

Installation

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Filesystem

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`transcribe`

`transcribe_long`

`transcribe_with_speakers`

`list_models`

`health_check`

`version`