Whisper MCP Server

OpenAI Whisper MCP server enabling AI agents to transcribe audio and speech — converting audio files to text using OpenAI's Whisper model (locally or via API), processing audio from various formats (MP3, WAV, M4A, etc.), and integrating speech transcription capabilities into agent-driven workflows for meeting notes, podcast processing, voice command capture, and audio content analysis.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ AI & Machine Learning whisper openai speech-to-text transcription mcp-server audio asr
⚙ Agent Friendliness
74
/ 100
Can an agent use this?
🔒 Security
83
/ 100
Is it safe for agents?
⚡ Reliability
70
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
68
Documentation
70
Error Messages
68
Auth Simplicity
90
Rate Limits
82

🔒 Security

TLS Enforcement
92
Auth Strength
82
Scope Granularity
78
Dep. Hygiene
75
Secret Handling
85

Cloud mode sends audio to OpenAI — assess sensitivity. Local mode is private. Audio may contain PII (voice, names, conversations). HTTPS for cloud.

⚡ Reliability

Uptime/SLA
75
Version Stability
70
Breaking Changes
68
Error Recovery
68
AF Security Reliability

Best When

An agent needs to process audio content — transcribing recordings, meeting notes, or voice memos into text for further analysis or storage.

Avoid When

You need real-time streaming transcription — use Google Speech-to-Text streaming or AWS Transcribe Streaming for live audio. Whisper is batch-oriented.

Use Cases

  • Transcribing audio recordings and meetings from note-taking agents
  • Converting voice memos to text from personal productivity agents
  • Processing podcast episodes for content indexing from content agents
  • Enabling voice command input for agent workflows from voice-interface agents
  • Transcribing customer calls or interviews from analysis agents
  • Captioning video content by extracting and transcribing audio from media agents

Not For

  • Real-time live transcription (Whisper processes pre-recorded audio, not live streams)
  • Speaker diarization without additional tools (Whisper doesn't identify who spoke)
  • Translation beyond what Whisper supports natively

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: api_key none
OAuth: No Scopes: No

OpenAI API key for cloud Whisper (api.openai.com). No auth for local Whisper model. Set OPENAI_API_KEY for cloud mode. Local mode requires whisper Python package and model download.

Pricing

Model: usage_based
Free tier: Yes
Requires CC: No

Run locally for free (requires local GPU/CPU for inference). OpenAI cloud API is $0.006/minute — a 1-hour recording costs $0.36. Very affordable.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Large audio files require significant processing time — implement appropriate timeouts
  • Local model requires initial download (tiny: 75MB, large: 1.5GB) — plan for first-run delay
  • Transcription accuracy varies by audio quality, accent, and background noise
  • Cloud Whisper sends audio to OpenAI — evaluate data sensitivity for confidential recordings
  • Format support varies — ensure audio is in supported format before sending
  • Local Whisper on CPU is very slow — GPU strongly recommended for production use

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Whisper MCP Server.

$99

Scores are editorial opinions as of 2026-03-06.

5190
Packages Evaluated
26151
Need Evaluation
173
Need Re-evaluation
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