How to Use the Brave New Coin MCP in Pydantic AI

Q: How to set up Brave New Coin within Pydantic AI?

Install the slim package and initialize the MCPToolset with your server URL. You then pass this toolset directly to your agent instance.

Use Brave New Coin with Pydantic AI for type-safe crypto data that fails fast if the API returns bad info.

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Connect Brave New Coin MCP to Pydantic AI

Create your Vinkius account to connect Brave New Coin 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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Setup Brave New Coin with Pydantic AI

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Perplexity

Type-safe market data for Pydantic AI

Every response from `get_ticker` or `get_asset` is validated against your Pydantic schemas. If the API sends garbage, your agent throws a validation error immediately. This stops silent corruption in its tracks. You get clean, typed data in your agent's state every single time you call a tool.

Strict historical data handling in Pydantic AI

Fetch `get_ohlcv` data and ensure it matches your expected models. It’s perfect for agents that perform rigorous financial analysis. By enforcing types, you guarantee that your agent logic operates on verified price and volume fields. It removes the guesswork from your data processing.

Controlled MCP Server tool access

Use the `MCPToolset` to bring in only the tools you need. It keeps your agent's tool inventory clean and predictable. The server runs externally and communicates via SSE or HTTP. You get a robust connection that respects your runtime constraints.

Setup guide

Set up Brave New Coin 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": {
        "brave-new-coin-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Brave New Coin tools.",
)

result = await agent.run("List recent Brave New Coin transactions")
print(result.output)

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Common questions about Brave New Coin MCP in Pydantic AI

Install the slim package and initialize the `MCPToolset` with your server URL. You then pass this toolset directly to your agent instance.

Pydantic models act as a shield. If the data structure deviates from your definition, the agent fails loudly instead of processing invalid values.

Yes, Pydantic AI is model-agnostic. You can connect this server to any local or remote model and still benefit from the type-safe responses.

The server runs in a V8 Isolate sandbox, providing fast response times. It is optimized for the persistent connections required by Pydantic AI.

The server treats all incoming requests as ephemeral. It only touches market-facing asset identifiers and price data, which are isolated from your private logic.

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