How to Use the CoinAPI MCP in Pydantic AI

Get type-safe crypto data from CoinAPI in your Pydantic AI applications.

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Connect CoinAPI MCP to Pydantic AI

Create your Vinkius account to connect CoinAPI 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 CoinAPI with Pydantic AI

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Perplexity

Type-safe market data for Pydantic AI

Every response from `get_exchange_rates` is validated against Pydantic models at runtime. If the API returns garbage, your agent throws an error instead of crashing later. This makes your crypto-agent code predictable. You define the schema, and the MCP server ensures the data fits it perfectly.

Reliable orderbook fetching in Pydantic AI

Use `get_latest_orderbooks` with strict validation. Your agent will only receive data that matches your defined structures, preventing silent failures during trade execution. Since you are using Pydantic AI, you get full type hints for all CoinAPI tools. This makes debugging your agent's data ingestion trivial.

Control your CoinAPI toolset

Initialize the MCPToolset in your agent and define how it interacts with the data. You can mix these tools with your own internal functions easily. It works with any model backend you choose. Whether you use OpenAI or a local model, the Pydantic validation ensures the data remains consistent.

Setup guide

Set up CoinAPI 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": {
        "coinapi-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent CoinAPI transactions")
print(result.output)

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Common questions about CoinAPI MCP in Pydantic AI

Use the MCPToolset class and point it at your Vinkius endpoint. Pass the toolset into the agent's toolsets list to activate the functions.

The agent will raise a validation error immediately. This stops the agent from proceeding with bad data, which is critical for financial logic.

Absolutely. Since the MCP protocol is model-agnostic, you can use any backend supported by Pydantic AI while keeping the same type-safe tools.

You provide your endpoint token once during setup. Vinkius manages the authentication handshake so your agent code remains clean.

Your data is protected by a zero-trust sandbox. The server only processes the specific exchange rate or quote you requested, with no persistent storage.

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