Publishing takes 12 manual steps
Record, edit, upload, title, describe, transcribe, schedule, publish, twelve steps before anyone hears you.
Tell Claude to publish episode 47, it just happens.
AI & MCP Integration
The first podcast host your AI assistant can actually use.
Springcast is the first podcast platform with Model Context Protocol (MCP) integration. Publish episodes, generate show notes, read your analytics, all through natural language in Claude or ChatGPT. Built-in AI transcription from Professional up; MCP integration from Scale up; REST API access on the Business plan.
- ✓ MCP-ready
- ✓ AI transcription
- ✓ REST API
- ✓ Your data stays yours
Sound familiar?
Publishing a podcast is a 12-step process. It shouldn't be.
Show notes take longer than the episode
You record for 90 minutes, then spend 45 more writing notes that summarize it.
AI writes accurate show notes from your transcript in seconds.
Your podcast data is locked in a dashboard
Want your Q1 download trend? Log in, navigate, filter, export CSV, build the chart yourself.
MCP connects Claude straight to your data, just ask.
Automation means duct tape and broken Zaps
Three Zaps, two broken webhooks, one monthly "why did this stop working?" debugging session.
Springcast's API and MCP give AI direct, structured access.
What's included
Eight features. One platform.
MCP integration
Connect Claude, ChatGPT or any MCP-compatible tool (yes, Notion too) straight to your podcast. Point your assistant at a folder of source material and have it draft, prepare or publish full episodes, all via natural language.
AI transcription
Transcription in 30+ languages, generated free with one click. Editable, searchable, exportable.
AI show notes
Generate structured show notes from your transcript: topics, timestamps, key quotes, links mentioned.
AI episode descriptions
Draft SEO-friendly, listener-friendly episode descriptions directly from your transcript.
REST API
Full API access: episodes, analytics, shows, subscribers. Build exactly what you need.
Webhooks
Real-time event notifications. Episode published, new subscriber, analytics threshold reached.
Transcript search
Search across all your episode transcripts. Find that specific quote from episode 23.
Workflow automation
Connect Springcast to n8n, Zapier, Make, or your custom stack via API and webhooks.
Model Context Protocol
Your AI assistant. Your podcast. Connected.
MCP stands for Model Context Protocol. It's an open standard that lets AI assistants like Claude and ChatGPT interact directly with external tools, not just chat about them, but use them.
Think of it this way. Right now, you can ask Claude to help you write show notes. It can draft text, suggest edits, give feedback. But it can't publish anything. It has no hands.
MCP gives it hands.
Springcast is the first podcast platform to implement MCP. What that means in practice: you open Claude, and through natural language you can list all your episodes and their stats, read detailed analytics broken down by platform and geography, create new episodes with metadata, generate and attach show notes from a transcript, update existing episodes, and publish or schedule episodes for release.
Connect Claude, ChatGPT or any MCP-compatible tool (yes, Notion too) straight to your podcast. Point your assistant at a folder of source material, documents, show notes, even a Word file, and have it draft, prepare or publish full episodes. You upload the audio; the assistant does the rest. Ask your analytics questions in plain language. Included from Scale, bring your own AI subscription, no extra Springcast fee.
Here's a concrete example of what this looks like. You type in Claude:
"Hey Claude, publish my latest episode. Title: 'Building in Uncertainty with Sarah Chen.' Generate show notes from the transcript. Schedule for Tuesday 7am CET. Add to my LinkedIn automation queue."
Claude does it. No dashboard. No clicking through menus. No copy-pasting from one tab to another.
A fair question at this point: is this real, or is this a demo? It's live. It works. And it's included from Scale up, not an add-on, not a beta feature you have to apply for.
One more question people always ask: is my data being sent to OpenAI or Anthropic for training? No. MCP is a tool-use protocol, not a data-sharing pipeline. When Claude reads your analytics or publishes an episode, it's making authenticated API calls to Springcast, the same way it might search the web or check your calendar. Your episode content, listener data, and analytics are never sent to AI companies for model training. You authenticate via OAuth 2.0. Revoke access anytime.
Solo creator
"Publish episode 47 with show notes and schedule for Tuesday 7am." Done in one sentence. No dashboard opened.
Marketing manager
"Show me download trends for Q1 versus Q2, broken down by platform." Analytics in 10 seconds.
Developer
"Create a draft episode from this transcript and tag it as Season 3, Episode 8."
- ✓ Model Context Protocol (open standard by Anthropic)
- ✓ Supported: Claude Desktop + API, ChatGPT via plugin
- ✓ Actions: list_episodes, get_analytics, create_episode, update_episode, publish_episode, get_project
- ✓ OAuth 2.0 authentication, your API key, your data
- ✓ Tool-use only, no data sent for AI training
AI Content Tools
From raw recording to published episode, with AI doing the heavy lifting.
Sky AI reads your audio and generates transcripts, show notes, chapter markers, social post drafts, and email summaries, in seconds, in your voice. Hit publish. The content follows.
TranscriptGenerate
Generated show notes
Summary + chapters
from transcript + brand book
LinkedIn post
in your tone of voice
Transcription: 30+ languages, speaker diarization
Show notes: topic extraction, timestamp linking, quote highlighting
Episode descriptions: SEO-optimized, RSS-compliant, always editable
Social post drafts: ready-to-edit copy per channel, pulled from the transcript
Works in dashboard and via MCP, your choice
API & Automation
Build podcast workflows that run themselves.
The Springcast REST API exposes every resource: episodes, shows, analytics, distribution, transcripts. Connect your CMS, pull data into your BI tools, automate publishing. If you can code it, you can connect it.
POST /v1/episodesREST
{
"show": "rainmakers",
"title": "Ep. 51, The breakthrough",
"audio_url": "https://…/ep51.mp3",
"publish_at": "2026-06-02T06:00:00Z"
}
"show": "rainmakers",
"title": "Ep. 51, The breakthrough",
"audio_url": "https://…/ep51.mp3",
"publish_at": "2026-06-02T06:00:00Z"
}
201 CreatedBearer tokenWebhooks
REST API with full OpenAPI 3.0 specification
OAuth 2.0 authentication
Webhooks: episode.published, episode.updated, subscriber.new, analytics.threshold
Rate limits: scale by plan (MCP from Scale; REST API on Business), see pricing
Compatible: n8n, Zapier, Make, and custom integrations
Honest comparison
Springcast vs. the field, on AI and automation
We're not the right fit for everyone. But on AI features and developer tools, here's what the landscape looks like.
| Feature | Springcast | Buzzsprout | Captivate | Transistor |
|---|---|---|---|---|
| MCP integration (Claude / ChatGPT) | ✓ first in market, Scale+ | |||
| AI transcription | ✓ 30+ languages, Professional+ | add-on | basic | |
| AI show notes generation | ✓ Professional+ | |||
| AI episode descriptions | ✓ Professional+ | |||
| AI social post drafts | ✓ | |||
| Transcript search across episodes | ✓ | |||
| REST API (full CRUD + analytics) | ✓ | limited | limited | |
| Webhooks | ✓ | limited | ||
| n8n / Zapier / Make compatible | ✓ native | Zapier only | Zapier only | Zapier only |
| OAuth 2.0 authentication | ✓ | API key only | ||
| Episode scheduling | ✓ | ✓ | ✓ | ✓ |
| EU-hosted | ✓ Netherlands | US | US | US |
| Data not used for AI training | ✓ explicit policy | N/A | N/A | N/A |
| ISO 27001 | ✓ |
Buzzsprout is excellent for beginners. The onboarding is thoughtful, the interface is clean, and if you're starting your first podcast and don't need automation or API access, it's a solid choice. The AI gap closes on Buzzsprout's end if you purchase the transcription add-on, but show notes, MCP, and API access aren't there. Captivate has good marketing tools and a creator-friendly interface. Their basic transcription works. But the automation story is thin, and there's no MCP integration in sight. Transistor is genuinely well-designed for multi-show management. Clean interface, good team features. The API is limited in scope and there's no AI content layer. If you're managing several shows and don't need AI or automation, Transistor is worth a look. Where Springcast wins: MCP integration, AI content tools included without add-ons, full REST API, webhook support, EU hosting, and ISO 27001.
Pricing
AI features and MCP included. No add-ons. No surprises.
AI transcription, AI show notes and AI episode descriptions are included from Professional up; MCP integration from Scale up; REST API access on Business. Not bundled into an enterprise tier. Not an optional add-on. Included.
Creator plans
Essential (€9/mo, 1 show), Professional (€19/mo, 1 show), Scale (€49/mo, 1 show). AI transcription, AI show notes and AI episode descriptions are included from Professional up (not on Essential); MCP integration is included from Scale up. REST API access is part of the Business plan. Best for solo creators and small teams. 14 days free, no free tier.
See creator plans →Business
From €195/mo, multiple workspaces. Everything in the creator plans plus multi-workspace management, higher API rate limits, SSO, priority support, and the full compliance pack (DPA, ISO 27001, EU hosting). All prices exclude VAT. 14 days free.
See business plan →Questions
Frequently asked questions
MCP stands for Model Context Protocol, an open standard developed by Anthropic that lets AI assistants interact directly with external tools. Think of it as giving Claude or ChatGPT the ability to do things in your tools, not just chat about them. Springcast is the first podcast platform to implement it. When your AI assistant has MCP access to Springcast, it can read your analytics, create episodes, generate show notes, and publish, through natural language, from the AI interface you're already using.
Claude (Desktop app and via API) is the primary supported assistant. ChatGPT support is available via plugin architecture. MCP is an open standard, so as other AI assistants adopt it, Springcast will support them without additional configuration on your end.
No. MCP is a tool-use protocol, not a data-sharing pipeline. When Claude reads your analytics or creates an episode, it's making authenticated API calls to Springcast, the same way it might search the web or access your calendar. Your episode content, analytics, and listener data are never sent to AI companies for model training. You control access via OAuth 2.0 API keys and can revoke them at any time.
Yes. You can automate via MCP (tell Claude to publish), via API (programmatic publishing from your own systems), or via the Springcast scheduler (set a time in the dashboard). A fully automated pipeline looks like this: audio file in, AI transcription, AI show notes, scheduled publish, webhook notification to your other tools. A human review step is optional but straightforward to include.
MCP integration is available from Scale up; direct REST API access is part of the Business plan. Rate limits scale with your tier. See the pricing page for the exact per-minute limits.
MCP integration is included from Scale up; Essential and Professional do not include MCP. Direct REST API access is part of the Business plan. On the Creator plans, MCP is included on Scale, and the built-in AI integrations run from Professional up, but none of the Creator plans include direct API access. See the pricing page for the full breakdown.
Absolutely. AI transcription, show notes generation, and episode descriptions all work directly in the Springcast dashboard. Upload audio, click a button, review the output. MCP adds the ability to trigger these from your AI assistant. The AI features exist and work independently of any MCP connection.
30+ languages, including English, Dutch, German, French, Spanish, Portuguese, Italian, Japanese, Korean, Mandarin, and more. Speaker diarization, identifying who said what in a conversation, is supported across all languages.
Real podcasters. Real results.
What Springcast looks like in practice
"As a storyteller and content maker, you want to work as seamlessly as possible. Springcast makes that easy — so you can focus on your real work: telling stories."
Publishing without technical hassle, so all the attention goes to the story.
Martijn Aslander · Storyteller & content maker
"Our podcasts are now far easier to find on Spotify — and they’re being listened to more as a result."
The move to Springcast PRO was clearly guided, with transparent communication at every step. The PRO environment is clear and easy to use.
Gemeente Utrecht · Government
"With Springcast PRO, all our employees can listen to our internal podcasts even more easily."
Thanks to the migration service, our existing podcasts were converted quickly, so we could go live right away.
Kindergarden · Internal communications
30,000+
episodes per year. 1,850+ podcasters and 200+ organizations publish on Springcast.
Your podcast, one prompt away. Start free.
AI tools from Professional up; MCP integration from Scale up; REST API access on Business. No hidden add-ons.