How to Use the Castmagic MCP in AutoGen

Debate and process media with AutoGen and the Castmagic MCP Server.

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Connect Castmagic MCP to AutoGen

Create your Vinkius account to connect Castmagic to AutoGen 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 AutoGen

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Claude

Perplexity

Multi-agent media workflows in AutoGen

Give your researchers access to `list_transcripts` so they can identify which files need attention. Different agents can then discuss the content to reach a consensus on the next steps. It removes the guesswork. Agents challenge each other on whether a transcript is ready for final production.

Generate content with AutoGen agents

Let your creative agent trigger `get_magic_content` to draft show notes. Another agent then reviews the draft to ensure it meets your specific brand standards. This conversation loop ensures high-quality output. The agents negotiate the final text until they agree it's ready for you.

Monitor account limits in AutoGen

Use `get_castmagic_account` as a constraint tool for your agents. If your quota is low, the performance agent can pause new transcription requests to save credits. This keeps your system balanced. It prevents agents from overspending your account resources without clear approval.

Setup guide

Set up Castmagic MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Castmagic tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Castmagic_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Castmagic data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Castmagic_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Castmagic data")
    print(result.messages[-1].content)

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 Castmagic. 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.

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Common questions about Castmagic MCP in AutoGen

You pass the tool list to your AssistantAgent constructor. All agents in the group chat can then call the functions as part of their deliberation process.

Absolutely. You can set up a reviewer agent to challenge the output of the content generation agent, forcing a debate until they converge on the best result.

The server connection is encrypted and scoped to your specific credentials. Your data is only accessible to the agents you explicitly authorize within your workflow.

Yes, your agents can check the status of a long task periodically. They will continue their conversation once the server reports that the transcription is complete.

The server exposes audio metadata, transcript text, and generated summaries. Only this specific information is visible to your agent team during their discussions.

Use it with your favorite AI tools

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