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How to Use the Nifty Gateway (NFT Marketplace API) MCP in Pydantic AI

Build type-safe agents with Pydantic AI that validate Nifty Gateway collection data and portfolio balances at runtime.

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Connect Nifty Gateway (NFT Marketplace API) MCP to Pydantic AI

Create your Vinkius account to connect Nifty Gateway (NFT Marketplace 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.

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Type-safe portfolio tracking with Pydantic AI

The `list_user_nifties` tool fetches your collector portfolio and validates every single asset field against a strict schema before your agent sees it. If the API returns unexpected metadata, Pydantic AI raises a validation error immediately rather than letting your agent hallucinate values. This strict validation keeps your financial reporting code completely reliable. You register the Vinkius HTTP endpoint as an MCPToolset and pass it to your Pydantic AI agent, guaranteeing that every token ID and contract address matches your expected types.

Bulletproof collection discovery without silent failures

The `get_collection` and `list_collections` tools let your agent browse marketplace drops with guaranteed type safety. Instead of guessing the structure of floor prices or volume metrics, the agent relies on schemas validated at runtime. By using this MCP server with Pydantic AI, any unexpected API drift is caught instantly. Here's the thing: you can't have your production agents failing silently when parsing complex NFT metadata, so catching schema changes early protects your pipeline from bad trading decisions.

Secure paginated marketplace queries via SSE

The `list_nifties` and `get_nifty` tools allow your agent to safely paginate through thousands of marketplace assets. Pydantic AI handles the streamable HTTP or SSE transport layer, keeping a persistent, secure connection to your external Vinkius MCP server. Your agent processes each page of results, confirming that every contract address and token price matches your Pydantic models. This makes it impossible for corrupt API payloads to inject malicious text into your agent's system prompt.

Setup guide

Set up Nifty Gateway (NFT Marketplace API) MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "nifty-gateway-nft-marketplace-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Nifty Gateway (NFT Marketplace API) tools.",
)

result = await agent.run("List recent Nifty Gateway (NFT Marketplace API) transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nifty Gateway. 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 Nifty Gateway (NFT Marketplace API) MCP in Pydantic AI

You install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` pointing to your Vinkius HTTP endpoint. Then, pass the toolset directly to your Agent's `toolsets` list to start querying collections.
The framework validates the JSON response against the MCP tool schema at runtime. If the API returns a string where an integer was expected, Pydantic AI fails loudly with a validation error instead of passing bad data to the model.
Yes, Pydantic AI natively supports streamable HTTP and SSE transports. This allows your agent to handle long-running queries like `list_nifties` without dropping the connection to the external server.
Yes, you should use the unified `MCPToolset` class instead of the deprecated `MCPServerHTTP`. This unified approach simplifies setup and handles connection pooling automatically.
All API credentials and session keys are held securely in your local environment or the Vinkius proxy, never exposed to the LLM. When your agent calls `list_user_nifties`, Pydantic AI validates the incoming JSON payload locally, ensuring your private portfolio details are never leaked into public training data.

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