Asr_mcp_server
About
A Model Context Protocol (MCP) server that provides ASR(Automatic Speech Recognition) capabilities using the whisper engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.
Details
- Author
- vidau-ai
- Downloads
- 348
- Categories
- Other
Jump to
- Provides ASR capabilities using the whisper engine.
- Exposes speech recognition as MCP tools.
- Integrates easily into MCP‑compatible applications.
- Requires only Python 3.10+ and uv.
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
Asr_mcp_serverCommand (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
From the repository
Configure the server in your MCP settings JSON with the uv command pointing to the asr_mcp_server directory and asr_server.py script. The server requires Python 3.10 or higher, the uv package manager, and the openai whisper package.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"asr_mcp_server": {
"asr_mcp_server": {
"command": "/YOUR_CONDA_PATH/bin/uv",
"args": [
"--directory",
"/YOUR_PATH/asr_mcp_server",
"run",
"asr_server.py"
]
}
}
}
}McpServers
{
"asr_mcp_server": {
"command": "/YOUR_CONDA_PATH/bin/uv",
"args": [
"--directory",
"/YOUR_PATH/asr_mcp_server",
"run",
"asr_server.py"
]
}
}ASR MCP Server
A Model Context Protocol (MCP) server that provides ASR(Automatic Speech Recognition) capabilities using the whisper engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.Prerequisites
- Python 3.10 or higher - uv package manager - openai whisperMCP Configuration
{
"mcpServers": {
"asr_mcp_server": {
"command": "/YOUR_CONDA_PATH/bin/uv",
"args": [
"--directory",
"/YOUR_PATH/asr_mcp_server",
"run",
"asr_server.py"
]
}
}
}
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