salutespeech-mcp (theYahia/salutespeech-mcp) is an MCP server listed on the M8ven Trust Index. It scores 54 out of 100, grade D. It declares 5 tools. No publisher has claimed this listing.
Provides speech recognition (STT) and synthesis (TTS) tools via the Sber SaluteSpeech API, enabling audio transcription and voice generation through natural language.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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theYahia
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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.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
recognize_speechSpeech recognition via SaluteSpeech. Accepts Base64 audio, returns text transcription.
synthesize_speechText-to-speech via SaluteSpeech. Accepts text, returns Base64-encoded audio.
list_modelsList available SaluteSpeech models and voices for recognition and synthesis.
get_task_statusCheck status of an async SaluteSpeech recognition task by ID.
recognize_fileRecognize speech from a local audio file. Auto-detects format from extension.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
When Vitest UI server is listening, arbitrary file can be read and executed
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
SALUTESPEECH_API_KEY"env": { "": "your-base64-key" }SALUTE_AUTH_KEYSame (legacy alias)SALUTE_SPEECH_CLIENT_ID+ SALUTE_SPEECH_CLIENT_SECRET Raw credentials (auto-encoded)SALUTE_SPEECH_CLIENT_SECRETSALUTE_SPEECH_CLIENT_ID + Raw credentials (auto-encoded)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
5/5 tools missing one or more hints — recognize_speech (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); synthesize_speech (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_models (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. 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.
Tool inputs are validated
Only 0/5 tool handlers declare input schemas (0%)
Declare an inputSchema with zod/joi/yup on every tool definition.
Tool handlers catch errors
Only 0/5 tool handlers wrap calls in try/catch (0%)
Wrap each tool handler body in try/catch and return a structured error response.
Tool test coverage
Only 1/5 tools referenced in tests (20%)
Write tests that reference each tool by name so every tool has at least one test.
Production dependencies are patched
0 critical, 3 high severity in production deps — @modelcontextprotocol/sdk@1.12.0 (high), @modelcontextprotocol/sdk@1.12.0 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
Dev dependencies
1 critical/high in dev-only deps (does not ship to users)
Upgrade dev dependencies when convenient.
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