Create AI Podcast Content Using MCP Servers.
You record a 45-minute podcast, spend 4 hours editing the transcript, and still do not have show notes, a blog post, or social clips , because transcription tools give you text but not intelligence
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your AI agent starts with an audio URL , a podcast episode, a recorded interview, a voice memo, or a meeting recording.
Deepgram transcribes it with speaker diarization: 'Speaker 1 (Sarah, 00:00-02:34): Introduction about the state of AI agents in production...' The agent does not just transcribe , it extracts structure: key topics with timestamps, notable quotes, action items, and a 3-paragraph summary.
Everything goes to Notion as a structured content record. Then the magic: the agent identifies the 3 best quotes for social media clips and uses ElevenLabs to generate professional narration of a 60-second audio summary using your preferred voice.
The result: raw 45-minute recording full transcript with timestamps show notes with topic index 3 social-ready quotes 60-second audio summary blog-ready content.
All in Notion, organized by episode, with publishing status tracking. The 4-hour post-production process becomes 3 minutes.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect ElevenLabs, Deepgram and Notion MCP servers so your AI agent transcribes audio with Deepgram's high-accuracy speech-to-text, extracts structured insights , key topics, timestamps, quotes, action items and summaries , and then uses ElevenLabs to generate professional voice narration for audio clips, shorts, and repurposed content, with everything organized in Notion as a content production system. AI creators, podcasters and content builders who record voice content but spend more time processing it than creating it , because transcription is step one, not the destination, and nobody has a system that goes from raw audio to published content without 4 hours of manual editing, formatting, and repurposing in between.
Elevenlabs
actionGenerates professional voice narration, audio summaries and voice clips from text using custom or cloned voices
text_to_speech list_voices list_models get_voice Deepgram
triggerTranscribes audio with high accuracy, speaker diarization and timestamp precision
transcribe_url list_projects get_usage list_members Notion
actionOrganizes the entire content production pipeline , transcripts, show notes, clips, and publishing status
create_page query_database search_pages get_page Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Elevenlabs, Deepgram & Notion ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
AI podcasters who want to go from raw recording to full show notes, social clips and audio summaries in 3 minutes
Content creators repurposing long-form audio into short-form clips with professional AI-generated voice narration
Meeting-heavy teams who want every recorded meeting transcribed, summarized and organized in Notion automatically
AI enthusiasts building a searchable voice-content knowledge base from interviews, podcasts and voice memos
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: ElevenLabs, Deepgram and Notion. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client supporting the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others.
Can I use my own cloned voice in ElevenLabs?
Yes. If you have a cloned voice in your ElevenLabs account, the agent can use it for narration. Your custom voice appears in the available voices list.
Is my audio data secure?
MCP servers authenticate through API keys. Deepgram and ElevenLabs process audio via their APIs. Notion stores text content. Vinkius does not store your audio or transcripts.
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MCP servers used in this workflow
ElevenLabs
ElevenLabs MCP Server gives your AI agent full control over high-fidelity audio generation. Use lifelike voices, manage text-to-speech workflows, and handle multi-language dubbing directly from your client. You can also audit usage, check quotas, and manage voice libraries all through natural conversation.
Deepgram
Deepgram MCP Server. Run full audio AI workflows from your agent. This server handles high-speed speech-to-text (STT) and text-to-speech (TTS) tasks, letting you process audio streams, generate voices, and manage the underlying API infrastructure—all via natural language commands. You can transcribe remote audio URLs, generate audio from text, and audit usage and keys without leaving your development environment.
Notion
Notion MCP Server connects your AI client to the entire Notion workspace. It lets you query structured databases, search pages across titles and content, and read deep into nested document blocks—all through a single API layer. Don't copy-paste data or switch tabs; let your agent act as an intelligent librarian for all your wiki entries and project trackers.