@hyperwhisper/mcp
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
@hyperwhisper/mcp
Model Context Protocol server that lets Cursor, Claude Desktop, Claude Code, and any other MCP-capable agent talk to a running HyperWhisper app. The agent gets seven tools: health, list_models, list_modes, transcribe, post_process, search_recordings, and get_recording.
transcribe can also write the transcript straight to a file: set output_path and the tool saves the text to disk and returns only a short confirmation (path, character count, 200-char preview) instead of the full transcript — much more context-efficient for long recordings or when the agent only needs the text on disk. if_exists controls collisions (fail / overwrite / append), and post_process_preset / post_process_prompt clean the text up before it's written.
Prerequisites
Install HyperWhisper for macOS or Windows.
Open Settings → Local API and turn the toggle on.
Make sure
node(>= 18) is on yourPATHsonpxcan run the bridge.
The MCP server discovers the local API automatically by reading the discovery file the HyperWhisper app writes when the toggle is on:
macOS:
~/Library/Application Support/HyperWhisper/local-api.jsonWindows:
%LOCALAPPDATA%\HyperWhisper\local-api.json
Related MCP server: TypeWhisper MCP
Install
The bridge is published as @hyperwhisper/mcp. No global install needed:
npx -y @hyperwhisper/mcpClient configuration
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"hyperwhisper": {
"command": "npx",
"args": ["-y", "@hyperwhisper/mcp"]
}
}
}Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"hyperwhisper": {
"command": "npx",
"args": ["-y", "@hyperwhisper/mcp"]
}
}
}Claude Code
claude mcp add hyperwhisper -- npx -y @hyperwhisper/mcpVerify
In a fresh agent session ask:
Use hyperwhisper to transcribe
/Users/me/voice.wav.
The agent should call the transcribe tool and return the text.
Docs
Full setup guide and troubleshooting: https://hyperwhisper.com/docs/api-reference/local-api/mcp-setup.
License
MIT
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