Whipscribe MCP vs Whisper MCP
A side-by-side look at the Whipscribe MCP and Whisper MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
W
Whipscribe MCPSpeech-to-Text · Local subprocess (stdio)Transcribe audio/video files or URLs via the WhipScribe cloud API and fetch the transcript.40FairAuth: not declaredVerdict: choose Whipscribe MCP for speech-to-text work as a local process; choose Whisper MCP for speech-to-text as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
WChoose Whipscribe MCP when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
Choose Whisper MCP when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
- You want tools like
transcribe_audio, list_whisper_models, download_whisper_model.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | W Whipscribe MCP | |
|---|---|---|
| Category | Speech-to-Text | Speech-to-Text |
| Quality signal | 40/100 · Fair | 61/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 1 | 3 |
| Directory activity | 0 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | 3 |
| Full listing | View Whipscribe MCP | View Whisper MCP |
Tools & capabilities
Whipscribe MCP tools
No tool names declared yet. Check the project README from the listing page.
Whisper MCP tools 3
transcribe_audioTranscribe an audio file using Whisper. Supports various audio formats (wav, mp3, m4a, etc.). Returns the transcribed text.list_whisper_modelsList available Whisper models and their download status. Shows which models are downloaded locally.download_whisper_modelDownload a Whisper model for local transcription. Models are stored in ~/.whisper/
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Whipscribe MCP
{
"mcpServers": {
"whipscribe-mcp": {
"command": "uvx",
"args": [
"whipscribe-mcp"
]
}
}
}
Whisper MCP
{
"mcpServers": {
"whisper-mcp": {
"command": "npx",
"args": [
"-y",
"whisper-mcp"
]
}
}
}
Frequently asked questions
Whipscribe MCP is categorized under Speech-to-Text and uses a local stdio subprocess. Whisper MCP belongs to Speech-to-Text and uses a local stdio subprocess. Pick Whipscribe MCP for speech-to-text work and Whisper MCP for speech-to-text.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Whipscribe MCP has no declared pricing — check the project's own site. Whisper MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add whipscribe-mcp and whisper-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Whipscribe MCP has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 1 GitHub stars. Whisper MCP has 61/100 (Good) with 1 views, 0 installs and 3 GitHub stars.