How to Use the Castmagic MCP in OpenAI Agents SDK

Q: Can I use Castmagic with my OpenAI Agents SDK pipeline?

Yes, you connect it using the MCPServerStreamableHttp class. It plugs right into your agent constructor and exposes all 8 tools automatically.

Turn audio files into written content inside your OpenAI Agents SDK production system.

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Connect Castmagic MCP to OpenAI Agents SDK

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

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Setup Castmagic with OpenAI Agents SDK

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Auto-transcribe media with OpenAI Agents SDK

Feed your raw video or audio URLs to `create_new_transcript` to start the processing engine. The agent handles the upload while you monitor the status via your dashboard. This MCP Server lets your agent pull back the text using `get_transcript_details` once the processing is finished. You keep your agent logic clean without writing manual API wrappers.

Generate content assets automatically

Call `get_magic_content` to pull show notes, blog drafts, or social media posts directly into your agent's context. It saves you from manual copy-pasting between your media library and your editor. Your production agent can now format these outputs for specific platforms. The tools provide structured data that your Python code handles immediately.

Manage your media library programmatically

Use `list_transcripts` and `list_castmagic_recordings` to keep your agent aware of your entire content history. You can audit what you have stored and prune old files with `delete_transcript`. Everything stays synced within your agent's memory. It simplifies tracking your content pipeline without leaving your IDE.

Setup guide

Set up Castmagic MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Castmagic tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Castmagic tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Castmagic tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Castmagic Agent",
            instructions="You have access to Castmagic tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Castmagic MCP in OpenAI Agents SDK

Yes, you connect it using the `MCPServerStreamableHttp` class. It plugs right into your agent constructor and exposes all 8 tools automatically.

The server fetches the raw text and metadata through the tools. Your agent processes these strings in memory to generate your final deliverables.

It depends on the Vinkius managed endpoint. You get consistent uptime and the agent handles the connection via standard async context managers.

Files stay on the platform. The server only passes metadata and text back to your agent.

Your audio and video files are encrypted at rest. The server only transmits the text content and identified speaker labels to your agent session.

Use it with your favorite AI tools

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

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