How to Use the FusionSignage MCP in AutoGen
Let a team of AutoGen agents debate, plan, and manage your FusionSignage network. Go from a simple goal to a vetted execution plan.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FusionSignage MCP to AutoGen
Create your Vinkius account to connect FusionSignage 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.
Multi-Agent Campaign Planning
Assign roles to different agents and let them work out the details of a new campaign. A "Creative" agent can `list_media` to find assets, while a "Scheduler" agent checks for conflicts with `list_schedules`. A "Deployment" agent can then plan the rollout using `list_groups` to target specific store locations. The agents converse, passing tool outputs to each other until they agree on a plan. The final result is a new schedule created with `create_schedule` and assigned with `assign_playlist`—a plan vetted from multiple angles. This MCP server gives them the tools to not just talk, but act.
Consensus-Driven Maintenance with AutoGen
Set up a team of agents to keep your network healthy. A "Monitor" agent can periodically call `get_screen_status` for all screens in your network. If it finds a problem, it brings it up in the conversation with a "Technician" agent. The Technician agent can then propose a fix, like using `update_screen` with a new configuration. A "Manager" agent can approve the action, ensuring changes aren't made without oversight. It’s a collaborative workflow, automated through agent conversation.
Automated Auditing and Reporting
Task an "Auditor" agent with generating compliance reports. It can use `list_playlists` and `get_playlist` to verify that the correct content is assigned to the correct screens, cross-referencing against a master plan. If the Auditor finds a discrepancy—a playlist that was supposed to be removed but still exists—it can flag it. It could even bring in a "Cleanup" agent to run `delete_playlist` and resolve the issue automatically. This approach to using an MCP Server automates your compliance checks.
Set up FusionSignage 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes FusionSignage tools and returns structured results.
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="FusionSignage_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent FusionSignage data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="FusionSignage_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent FusionSignage data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FusionSignage. 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.
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 FusionSignage MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the FusionSignage MCP today
We host it, we monitor it, we maintain it. You just paste one token.