How to Use the dYdX (Decentralized Perpetual Exchange API) MCP in AutoGen

Q: Can AutoGen agents coordinate to hedge positions on the dYdX (Decentralized Perpetual Exchange API)?

Yes, you can configure one agent to monitor risk via v4getaccount and another to execute hedging trades. They will converse and execute the necessary orders to balance your portfolio.

Q: How do AutoGen agents handle trade validation on the dYdX (Decentralized Perpetual Exchange API)?

Your agents can check the order status using v4listorders after an execution attempt. If the order is rejected or unfilled, the agents debate the next steps in their chat loop.

Q: Can I run a market maker bot using AutoGen?

You can set up a multi-agent system where one agent polls v4getstats and another places limit orders. This creates a highly collaborative, automated market-making loop.

Deploy multi-agent AutoGen teams to debate, validate, and execute perpetual trades on dYdX.

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Setup dYdX (Decentralized Perpetual Exchange API) with AutoGen

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Debate and execute dYdX trades in AutoGen

The `v4_create_order` tool is exposed to your AutoGen assistant agents for executing perpetual trades via our MCP Server. You can set up a system where a trading agent proposes an order, and a risk agent validates it first. This consensus-driven approach prevents bad trades by requiring multiple agents to agree. The executing agent only fires the order once the risk profile is approved.

Automate risk mitigation with AutoGen agents

The `v4_list_positions` tool provides real-time portfolio metrics directly to your risk management agent. If a position approaches liquidation, the agent can immediately trigger a defensive action. The risk agent can coordinate with the execution agent to call `v4_cancel_order` on open orders. This keeps your capital safe during sudden market drops without human intervention.

Deploy an MCP Server market scouting team

The `v4_get_trades` tool allows your scouting agent to monitor live public trade volume. This agent can alert your main trading agent when whale activity is detected on specific pairs. Your agents can cross-reference this with `v4_get_orderbook` to check if the orderbook can absorb the size. This prevents your execution agent from incurring massive slippage on trades.

Setup guide

Set up dYdX (Decentralized Perpetual Exchange 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 dYdX (Decentralized Perpetual Exchange 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="dYdX (Decentralized Perpetual Exchange API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent dYdX (Decentralized Perpetual Exchange API) 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="dYdX (Decentralized Perpetual Exchange API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent dYdX (Decentralized Perpetual Exchange 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 dYdX. 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 dYdX (Decentralized Perpetual Exchange API) MCP in AutoGen

You use the autogen-ext package to load the MCP tools via the StreamableHttpServerParams config. This maps the dYdX tools directly to your AssistantAgent constructor.

Yes, you can configure one agent to monitor risk via `v4_get_account` and another to execute hedging trades. They will converse and execute the necessary orders to balance your portfolio.

Your agents can check the order status using `v4_list_orders` after an execution attempt. If the order is rejected or unfilled, the agents debate the next steps in their chat loop.

You can set up a multi-agent system where one agent polls `v4_get_stats` and another places limit orders. This creates a highly collaborative, automated market-making loop.

This MCP Server handles your private keys and trade payloads entirely in an ephemeral, isolated environment. Your raw credentials are never stored, and all communication is encrypted end-to-end.

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