whisper-transcribe-mcp
MCP server for audio transcription using local faster-whisper or OpenAI Whisper API, enabling multilingual transcription with optional GPT post-processing.
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ZahiriNatZuke
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
WHISPER_MODELbase # or tiny, small, medium, large-v3OPENAI_API_KEYIf is set, OpenAI is used automatically. Otherwise falls back to local faster-whisper.Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
3/3 tools missing one or more hints — transcribe_file (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); transcribe_base64 (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Destructive tools are labelled
1 tool perform destructive updates without destructiveHint — transcribe_base64 deletes at line 234 (os.unlink(tmp_path))
Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.
Tool inputs are validated
2/3 tool handlers declare input schemas (67%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 1/3 tool handlers wrap calls in try/catch (33%)
Wrap each tool handler body in try/catch and return a structured error response.
Tests exist
No test files found
Add tests that exercise each declared tool.
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