sttai-mcp

# STT.ai MCP Server Model Context Protocol server for [STT.ai](https://stt.ai). Lets Claude Desktop, Cursor, and any other MCP-compatible client transcribe audio/video, manage transcripts, and run AI features over them. **Differentiator vs other STT MCP servers (Otter, Fireflies, Granola, Read AI):** those are read-only over stored transcripts. This one *also* exposes `transcribe_url` and `chat_with_transcript`, so Claude can transcribe a YouTube link and immediately query the result in one conversation. ## Tools | Tool | What it does | |---|---| | `list_transcripts` | List your past transcripts (paginated, filter by status) | | `get_transcript` | Fetch one transcript with segments, speakers, summary, metadata | | `export_transcript` | Export as text/srt/vtt/json/csv | | `transcribe_url` | Download + transcribe any URL (YouTube, podcast, direct file) | | `summarize_transcript` | AI summary (cached or regenerated) | | `analyze_transcript` | Sentiment, topics, entities, action items, questions, PII | | `generate_from_transcript` | Blog posts, social media, study guides, flashcards, etc. | | `chat_with_transcript` | RAG Q&A with source citations (segment IDs + timestamps) | | `list_models` | Available transcription models with WER benchmarks | | `list_languages` | Supported languages | ## Install ```bash pip install sttai-mcp ``` ## Configure Get your STT.ai API key at https://stt.ai/account/#developer. ### Claude Desktop Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "stt-ai": { "command": "sttai-mcp", "env": { "STT_API_KEY": "your-api-key-here" } } } } ``` Restart Claude Desktop. The STT.ai tools should appear. ### Cursor Settings → MCP → Add new MCP server: ```json { "stt-ai": { "command": "sttai-mcp", "env": { "STT_API_KEY": "your-api-key-here" } } } ``` ### Run directly ```bash STT_API_KEY=your-key sttai-mcp ``` The server speaks MCP over stdio. ## Examples In Claude Desktop, after configuring: > "Transcribe https://www.youtube.com/watch?v=dQw4w9WgXcQ and summarize the key points." Claude will call `transcribe_url`, then `summarize_transcript` on the result. > "What are my last 5 transcripts about?" Claude calls `list_transcripts(limit=5)` and reads each title. > "In transcript abc123, what did the speaker say about pricing?" Claude calls `chat_with_transcript("abc123", "what did they say about pricing?")` and gets an answer with timestamped sources. ## Repo - Source: https://github.com/sttaigit/sttai-mcp - License: MIT - Issues: https://github.com/sttaigit/sttai-mcp/issues Maintained by [STT.ai](https://stt.ai).