How to Use the Megaphone MCP in Cline

Q: Can Cline build a web dashboard using Megaphone MCP data?

Yes. Cline uses listcampaigns and listorders to fetch your ad metrics, then writes the frontend code and styles the component to display live delivery data inside VS Code.

Q: How does Cline handle podcast feed validation with Megaphone?

Cline calls listpodcasts and getpodcast to pull your show configuration. It then compares this live data against your local database schema, writing tests to catch any metadata drift.

Q: Can I audit ad insertion points using Megaphone and Cline?

Yes. Cline can run a script that chains listepisodes and listadlocations to verify that every published episode contains the correct ad markers.

Q: How do I search for specific episodes across my network?

Ask Cline to search your catalog. It will execute searchepisodes and pull the exact episode details using getepisode directly into your active editor file.

Build live ad dashboards and sync podcast feeds directly in VS Code using Cline.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Megaphone MCP to Cline

Create your Vinkius account to connect Megaphone to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Megaphone with Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build Live Reporting Dashboards with Cline

The `list_campaigns` tool lets Cline fetch live ad performance data directly into your local workspace. Taking this raw JSON, Cline writes a clean React component and mounts the live data to build a custom tracking interface. You do not have to write boilerplate API wrappers. Cline reads the schema from the MCP server, generates the dashboard code, and hooks up `list_orders` to display active ad flighting metrics side-by-side.

Automated Feed Sync and Test Generation

The `list_podcasts` tool retrieves your entire show list, which Cline uses to scaffold local configuration files. Connecting this MCP server lets the agent then write integration tests against `get_podcast` to ensure your local database schema matches Megaphone's production structure. This automation eliminates manual schema mapping. Cline runs the test suite, patches any mismatches in your database models, and shows you the exact git diff before committing.

Bulk Episode Audits and Spot Checks

The `list_episodes` tool allows Cline to pull your publication history and check for missing ad markers. It scans the feed and triggers `list_ad_locations` for any episode that lacks the required mid-roll configuration. The agent generates a markdown report detailing which episodes need attention. Running these checks in CI flags anomalies instantly.

Setup guide

Set up Megaphone MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type megaphone-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Megaphone refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "megaphone-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Megaphone. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Megaphone now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Megaphone MCP in Cline

Yes. Cline uses `list_campaigns` and `list_orders` to fetch your ad metrics, then writes the frontend code and styles the component to display live delivery data inside VS Code.

Cline calls `list_podcasts` and `get_podcast` to pull your show configuration. It then compares this live data against your local database schema, writing tests to catch any metadata drift.

Yes. Cline can run a script that chains `list_episodes` and `list_ad_locations` to verify that every published episode contains the correct ad markers.

Ask Cline to search your catalog. It will execute `search_episodes` and pull the exact episode details using `get_episode` directly into your active editor file.

All API requests run locally through VS Code using Cline's secure MCP server configuration. Your sensitive ad insertion points and episode audio URLs are never cached or exposed to external servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript