Whissle
Whissle MCP server provides AI assistants with access to Whissle's speech processing and language services through a standardized interface. Developed by Varun Mehta, it integrates with the Whissle API to enable speech-to-text transcription with timestamps and speaker diarization, machine translation between languages, and text summarization using LLM models. The implementation includes robust error handling with retry logic, file validation for audio uploads, and configurable output paths for processed files, making it valuable for building AI assistants that need to process audio content, translate text, or generate summaries from various input sources.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/whissleai/whissle-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Whissle from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.