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

Q: How do I initialize the dYdX (Decentralized Perpetual Exchange API) MCP Server in Pydantic AI?

Install the package using pip install "pydantic-ai-slimmcp". Use the MCPToolset class pointing to the Vinkius MCP Server endpoint, and pass it to your Agent's toolsets parameter.

Q: How do I check active limit orders?

Have your agent call v4listorders. The response is validated and returned as a typed list, making it easy to filter for open or filled orders.

Build type-safe trading agents that execute dYdX perpetual trades with strict runtime validation using Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect dYdX (Decentralized Perpetual Exchange API) MCP to Pydantic AI

Create your Vinkius account to connect dYdX (Decentralized Perpetual Exchange API) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup dYdX (Decentralized Perpetual Exchange API) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe dYdX trading in Pydantic AI

Stop worrying about silent API failures or malformed payloads when trading on dYdX. When your Pydantic AI agent calls `v4_create_order` or `v4_cancel_order`, the framework validates the inputs and outputs against strict schemas at runtime. If the dYdX API returns unexpected data, Pydantic AI raises a validation error immediately. This prevents your agent from making decisions based on corrupted state data, protecting your trading capital.

Reliable market monitoring with Pydantic AI

Track dYdX market movements with guaranteed data structures in Pydantic AI. Your agent fetches the current L2 book using `v4_get_orderbook` or historical trends with `v4_get_candles`, knowing every float and string matches your expected types. This structure makes it easy to write predictable trading logic for dYdX. The Pydantic AI agent parses `v4_get_stats` to analyze 24-hour volume and volatility metrics, feeding clean data directly into your mathematical models.

Strict position and balance tracking

Keep a tight grip on your dYdX account metrics using Pydantic AI's strict validation. The agent queries `v4_get_account` and `v4_list_positions` to check active equity and open risk, validating the response against Pydantic models. If a dYdX trade fills, your Pydantic AI agent verifies the execution details by calling `v4_list_fills`. This ensures your internal database and the on-chain reality stay perfectly aligned without manual parsing code.

Setup guide

Set up dYdX (Decentralized Perpetual Exchange API) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "dydx-decentralized-perpetual-exchange-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to dYdX (Decentralized Perpetual Exchange API) tools.",
)

result = await agent.run("List recent dYdX (Decentralized Perpetual Exchange API) transactions")
print(result.output)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect dYdX (Decentralized Perpetual Exchange API) now

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 dYdX (Decentralized Perpetual Exchange API) MCP in Pydantic AI

Install the package using `pip install "pydantic-ai-slim[mcp]"`. Use the `MCPToolset` class pointing to the Vinkius MCP Server endpoint, and pass it to your Agent's `toolsets` parameter.

The framework will raise a validation error instantly. This prevents your agent from processing corrupted data or executing incorrect trades based on hallucinated API outputs.

Yes, Pydantic AI is model-agnostic. You can connect this MCP Server to local models or commercial APIs while maintaining full type safety for tools like `v4_get_orderbook` and `v4_create_order`.

Have your agent call `v4_list_orders`. The response is validated and returned as a typed list, making it easy to filter for open or filled orders.

Vinkius manages the authentication layer inside an isolated, zero-trust V8 sandbox. Your dYdX keys and collateral address are injected as environment variables, so your Pydantic AI code never directly handles or exposes these raw secrets.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript