Connectors for Automated Visual Podcasts.
Your podcast is audio-only and invisible on YouTube and Instagram , Leonardo AI generates cinematic visuals for every segment, Deepgram timestamps every word for sync, and Sheets manages the production pipeline
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Your agent turns an audio podcast into a visual experience. Step 1: Deepgram transcribes the episode with word-level timestamps and speaker diarization: 'At 04:23, Sarah discusses how vector databases changed their search architecture.' Step 2: The agent identifies visual segments , every topic change, every key concept, every story , and generates image briefs.
Step 3: Leonardo AI generates visuals for each segment: 'A futuristic data center with glowing vector pathways connecting nodes , cyberpunk style, dark background, blue accent lighting.' 12 visuals for a 45-minute episode.
Step 4: Sheets tracks the production: 'Segment 3 (04:23-08:45): Vector Database Architecture. Visual: Generated. Timestamp: 04:23. Status: Ready for edit.' The output: a storyboard with synced visuals, ready for video editing.
Your audio-only podcast becomes a YouTube video, Instagram carousel, and LinkedIn visual post , all from the same recording.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect Leonardo AI, Deepgram and Google Sheets so your AI agent generates high-quality visuals for each podcast segment using Leonardo AI, transcribes audio with word-level timestamps for visual synchronization using Deepgram, and manages the visual podcast production pipeline in Sheets.
Leonardoai Generative Ai Models
triggerGenerates cinematic visuals and illustrations for each podcast segment , concept art, diagrams, scene illustrations and branded graphics
generate_image list_models get_generation upload_init_image list_elements Deepgram
enrichmentTranscribes podcast audio with word-level timestamps and speaker diarization for visual synchronization
transcribe_audio transcribe_url list_models get_usage Google Sheets
actionProduction pipeline tracking , segment list, visual briefs, generation status, sync timestamps and publishing schedule
create_spreadsheet update_sheet_values append_sheet_values get_sheet_values 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 Connector
Convert any internal API into a Connector. 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 each 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.
- Leonardoai Generative Ai Models, Deepgram & Google Sheets ready in the catalog right now
- Add more from 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer 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 all platforms.
Contextual Reasoning
Each 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 Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors to handle these for you. You describe what you need. It does the rest.
Podcasters converting audio-only shows into visual content for YouTube and social platforms
Content creators generating custom AI illustrations for each podcast segment instead of stock photos
AI enthusiasts building automated content pipelines that transform one recording into 5 content formats
Brands producing visual podcast content at scale with consistent style and managed production workflows
Frequently Asked Questions About This Connector Orchestration
Which Connectors do I need?
Three: Leonardo AI, Deepgram and Google Sheets.
Does this work with Claude Desktop?
Yes. Any MCP-compatible AI client works.
What visual styles can Leonardo AI generate?
Photorealistic, illustration, concept art, anime, cyberpunk, minimalist , Leonardo AI supports many styles and custom models.
Is my podcast content secure?
Connectors authenticate via API keys. Deepgram processes audio via their API. Generated visuals belong to you.
Create AI Podcast Content Using Connectors
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
Connectors That Remember Every Meeting
You had a critical decision in a meeting 3 weeks ago but nobody remembers the exact reasoning , Deepgram transcribes every meeting, Mem0 stores decisions with persistent memory, and Sheets tracks all commitments
Benchmark Seed Valuations Using Connectors
Your portfolio valuations compared, market comps pulled, benchmark report built , know if $12M pre-money for a Seed is reasonable before you negotiate
Book Appointments via WhatsApp Using MCP
Your AI agent checks availability, sends time slots via WhatsApp and logs every booking
Build Serverless Data Warehouses Using MCP
You scrape data into CSV files that nobody queries , Firecrawl extracts structured web data, Neon stores it in serverless PostgreSQL you can query with SQL, and Sheets visualizes the results
Calculate Your Real Meeting Costs Using MCP
Your team has 340 hours of meetings this week across 47 events , and nobody has calculated that this costs $28,000 in engineering salaries just to sit in rooms and nod
Connectors used in this workflow
Leonardo.ai (Generative AI & Models)
Leonardo.ai lets you run high-fidelity image generations and manage custom AI models directly through your AI agent. You can trigger complex prompts, handle image-to-image transformations, and keep an eye on your token usage without leaving your workspace. It's built for anyone who needs to move from a text idea to a polished visual asset quickly, whether you're building a brand or just exploring new aesthetics.
Deepgram
Deepgram MCP lets you manage and run speech-to-text and text-to-speech workflows directly from your AI agent. You can transcribe audio URLs, generate high-fidelity voices, track your usage limits, and manage your API keys or team members without switching tabs. It connects your Deepgram account to your favorite AI tools so you can build and monitor audio products faster.
Google Sheets
Google Sheets MCP lets you read, write, and manage spreadsheet data through your AI agent. Stop wasting time on manual data entry or complex formulas. Just tell your agent to pull specific ranges, add new rows, or create entire new sheets on the fly. It handles the tedious work of keeping your data organized so you can focus on making decisions.