How to Use the Decentraland (Virtual World Content API) MCP in AutoGen

Debate virtual world events using AutoGen and Decentraland data.

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Connect Decentraland (Virtual World Content API) MCP to AutoGen

Create your Vinkius account to connect Decentraland (Virtual World Content API) 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 Decentraland (Virtual World Content API) with AutoGen

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Perplexity

Coordinate agents with Decentraland data

Let your agents argue over which `list_places` results represent the best spots to visit. One agent checks popularity while another checks coordinates to ensure the group agrees on the destination. This removes the need for hardcoded logic. Your agents negotiate the best outcome based on the live data returned by the server.

Verify events via AutoGen agents

Use `list_events` to feed a schedule to your agent team. They can debate the timing and availability of events before proposing a final itinerary to you. This ensures that any plan created is actually possible. The agents catch conflicts that a single script might miss by cross-referencing event times.

Manage content ratings with AutoGen

Assign a moderator agent to `update_place_rating` after a consensus process. The agent team checks the place stats before deciding if a rating update is warranted. It prevents accidental changes. You require the team to reach an agreement before the tool is ever called, adding a layer of verification to your administrative tasks.

Setup guide

Set up Decentraland (Virtual World Content API) 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 Decentraland (Virtual World Content API) 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="Decentraland (Virtual World Content API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Decentraland (Virtual World Content API) 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="Decentraland (Virtual World Content API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Decentraland (Virtual World Content API) 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 Decentraland. 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 Decentraland (Virtual World Content API) MCP in AutoGen

Absolutely. You can give your agents different goals and let them compare API data to reach a consensus on any virtual world question.

You pass the tool list into the AssistantAgent constructor. This allows every agent in the conversation to invoke our API tools as needed.

Yes, our server supports the Streamable HTTP transport. This lets your agents receive real-time data updates during their debates.

There is no hard limit. You can include as many agents as your workflow requires, provided they share the same MCP session context.

The server manages the session tokens. Your agents share access to the authenticated state, ensuring they can perform tasks without re-authenticating every time.

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