Stt.ai MCP Server
STT.ai has released an MCP server plugin, sttai-mcp 0.1.0, enabling AI clients like Claude Desktop and Cursor to transcribe audio from URLs, manage transcripts, and perform AI-driven analysis and chat over spoken content. Unlike read-only alternatives, it supports active transcription and real-time querying within a single workflow. The tool integrates via standard MCP configuration and requires a Python environment and STT.ai API key. It is currently in alpha and available via PyPI under the MIT license.
- ▪The sttai-mcp server allows MCP-compatible clients to transcribe audio from URLs, including YouTube and podcasts, and interact with the transcripts using AI.
- ▪It differentiates itself from other STT MCP servers by supporting both transcription of new content and interactive chat with transcripts, not just access to pre-existing ones.
- ▪Key features include transcribe_url, chat_with_transcript, summarize_transcript, and export_transcript across multiple formats.
- ▪Users must install the package via pip, configure it with an STT.ai API key, and set up the MCP server in their client application.
- ▪The project is open-source, licensed under MIT, and hosted on GitHub with support for Python 3.10 and later.
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sttai-mcp 0.1.0 pip install sttai-mcp==0.1.0 Copy PIP instructions Latest version Released: Apr 26, 2026 Model Context Protocol server for STT.ai — transcribe URLs, list/search transcripts, summarize, analyze, generate, and chat with transcripts from Claude Desktop / Cursor / any MCP client. Navigation Project description Release history Download files Verified details These details have been verified by PyPI Maintainers sttai Unverified details These details have not been verified by PyPI Project links Documentation Homepage Issues Repository Meta License Expression: MIT SPDX License Expression Author: STT.ai Tags mcp , model-context-protocol , stt , speech-to-text , transcription , whisper , claude , anthropic Requires: Python >=3.10 Classifiers Development Status 3 - Alpha Intended Audience Developers Programming Language Python :: 3 Python :: 3.10 Python :: 3.11 Python :: 3.12 Python :: 3.13 Topic Multimedia :: Sound/Audio :: Speech Software Development :: Libraries :: Python Modules Report project as malware Project description Project details Release history Download files Project description STT.ai MCP Server Model Context Protocol server for 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 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): { "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: { "stt-ai": { "command": "sttai-mcp", "env": { "STT_API_KEY": "your-api-key-here" } } } Run directly 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:…
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