How to Use the EX.CO Video Experience MCP in AutoGen

Q: How do AutoGen agents resolve conflicts when analyzing EX.CO Video Experience MCP Server data?

One agent pulls high-level trends using quickvideoperformanceaudit, while another requests granular data via getcontentdetailedintelligence. They compare these datasets within their conversation loop to reach a validated conclusion.

Let AutoGen agents debate video performance and optimize your EX.CO publishing strategy through multi-agent consensus.

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Connect EX.CO Video Experience MCP to AutoGen

Create your Vinkius account to connect EX.CO Video Experience 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 EX.CO Video Experience with AutoGen

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Run multi-agent video audits in AutoGen

The `quick_video_performance_audit` tool allows your AutoGen audit agent to grab high-level performance data and present it to the group. A separate analyst agent then challenges these numbers, demanding deeper EX.CO metrics to verify the findings. To resolve the debate, the analyst agent calls `get_video_analytics_summary` to retrieve detailed engagement trends. The AutoGen agents negotiate a final optimization strategy based on agreed-upon data points before presenting it to you.

Coordinate interactive content strategies in AutoGen

Your AutoGen marketing agent uses `list_interactive_content` to fetch all active quizzes and polls from your EX.CO account. It then proposes a distribution plan to your publishing agent, who checks the feasibility of the plan. The publishing agent calls `list_video_distribution_channels` to verify if the target EX.CO channels support these interactive elements. This back-and-forth conversation ensures you never push incompatible content to your audiences.

Verify published assets using this MCP Server

This MCP Server provides `list_successfully_published_videos`, which your AutoGen verification agent uses to compile a list of active videos. A quality-assurance agent then cross-references this list with current playlists. By calling `list_video_playlists`, the QA agent ensures all published EX.CO videos are correctly categorized. The AutoGen agents collaborate to flag missing assets and automatically generate a correction log.

Setup guide

Set up EX.CO Video Experience 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 EX.CO Video Experience 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="EX.CO Video Experience_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent EX.CO Video Experience data")
print(result.messages[-1].content)

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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="EX.CO Video Experience_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent EX.CO Video Experience data")
    print(result.messages[-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EX.CO Video Experience. 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 EX.CO Video Experience MCP in AutoGen

One agent pulls high-level trends using `quick_video_performance_audit`, while another requests granular data via `get_content_detailed_intelligence`. They compare these datasets within their conversation loop to reach a validated conclusion.

You use the MCP server tools helper with your Vinkius endpoint URL. This automatically converts the EX.CO schemas using McpToolAdapter and registers them with your AssistantAgent.

Yes, all agents in your conversation group can access the registered tools. For example, a strategist agent might call `list_video_library` while a reporting agent queries account limits via `get_ex_co_account_metadata`.

The integration supports both stdio and Streamable HTTP transports. Vinkius manages the connection, providing a secure endpoint that your AutoGen environment connects to with a single token.

All tool execution occurs within an ephemeral, zero-trust sandbox. Your video catalog lists and interactive content settings are processed in memory and never written to disk, preventing unauthorized leaks or cross-tenant exposure.

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