@useclypt/mcp-server
Enables AI agents to submit podcast URLs and retrieve clips, trailer, show notes, guest-share link, and transcript via the Clypt API.
README
@useclypt/mcp-server
Model Context Protocol server for Clypt. Lets AI agents (Claude Desktop, Cursor, Claude Code, any MCP-aware client) submit a podcast URL and receive clips, an optional trailer, show notes, a guest-share link, and the transcript.
Pure shim over the public REST API at https://useclypt.com/api/v1 — three tools, no clever middleware.
Tools
| Tool | Wraps | Returns |
|---|---|---|
submit_job |
POST /v1/jobs |
{ id, status: 'queued', ... } — kicks the pipeline. Wall-clock to terminal: ~2-5 min for audio/RSS sources, ~10-12 min for video + trailer. |
get_job |
GET /v1/jobs/{id} |
Current job state. When status='complete', output contains clips, optional trailer, guest_share_url, show_notes, transcript. When failed, error carries a code + message. |
list_jobs |
GET /v1/jobs |
Cursor-paginated list of the org's recent jobs. |
The flow is asynchronous: submit_job returns immediately with a queued id; the agent polls get_job until terminal. Once a webhook is registered against your org, job.completed and job.failed events fire on every terminal transition — register via the public API at POST /v1/webhooks (no MCP tool for this yet; coming in a later minor).
Try it
With the server configured in Claude Desktop, ask:
Use Clypt to clip this podcast and tell me when it's done: https://feeds.simplecast.com/abc123
Claude will call submit_job, get back a job id, poll get_job until terminal, and surface the clips + trailer + transcript inline. Wall-clock: ~2-5 min for audio/RSS, ~10-12 min for video + trailer.
Installation
npm install -g @useclypt/mcp-server
Or run without installing:
npx -y @useclypt/mcp-server
Configuration
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"clypt": {
"command": "npx",
"args": ["-y", "@useclypt/mcp-server"],
"env": {
"CLYPT_API_KEY": "clk_live_..."
}
}
}
}
Restart Claude Desktop. Then prompt: "Use Clypt to clip this podcast: <RSS or audio URL>".
Cursor / Claude Code / other MCP hosts
Same recipe — the binary is mcp-server (or run without global install via npx -y @useclypt/mcp-server) and the only required env var is CLYPT_API_KEY.
Sandbox keys (free testing)
If your key starts with clk_test_ instead of clk_live_, every job returns a deterministic fixture instead of running the real pipeline. No transcription cost, no R2 storage cost, no Stripe charges. Useful for wiring up your agent before you commit to real submissions.
Fixture mapping:
source.type='video_url'(any URL) → success fixture with 3 clips + optional trailersource.type='audio_url'/rss_feed_url(URL without "fail") → success fixture- Any URL containing "fail" →
transcription_failederror fixture source.type='youtube_url'→youtube_ingestion_failederror fixture- Malformed URL →
invalid_source_urlvalidation error at submit
Get a sandbox key in seconds at useclypt.com/developers/signup — no credit card, no waiting list. Sandbox keys (prefix clk_test_) return deterministic fixtures so you can wire up your agent for free before swapping in a clk_live_ key.
Environment variables
| Variable | Required | Default | Purpose |
|---|---|---|---|
CLYPT_API_KEY |
yes | — | Bearer token for the Clypt API. clk_live_* or clk_test_*. |
CLYPT_BASE_URL |
no | https://useclypt.com |
Override for staging or local development. Trailing slash is stripped. |
Development
npm install
npm run build
npm test # vitest unit tests with mocked fetch
npm run dev # tsc --watch
Smoke against the live API with the MCP inspector CLI:
npm run build
CLYPT_API_KEY=clk_test_xxx \
npx @modelcontextprotocol/inspector --cli node dist/index.js --method tools/list
Learn more
- API reference: useclypt.com/developers/docs
- Get a key: useclypt.com/developers/signup
- About Clypt: useclypt.com
License
MIT — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.