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How to Use the BTC.com API (BTC.com Explorer & Pool API) MCP in Pydantic AI

Use the BTC.com API (BTC.com Explorer & Pool API) with Pydantic AI for type-safe Bitcoin blockchain data and runtime validation.

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Connect BTC.com API (BTC.com Explorer & Pool API) MCP to Pydantic AI

Create your Vinkius account to connect BTC.com API (BTC.com Explorer & Pool 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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Validate Bitcoin data with Pydantic AI models

Every response from `get_address_summary` or `get_block` is forced into your Pydantic schemas. If the API returns junk, the agent stops immediately. This prevents silent errors in your mining analytics. You get clean, typed data that your agent can trust for every calculation.

Fetch mining pool stats in Pydantic AI

Call `get_worker_list` and `get_worker_stats` to get your mining rig data. The tools map directly to your models, catching any schema mismatches before they hit your logic. It brings strict structure to your infrastructure monitoring. You'll know exactly what your workers are doing without dealing with unexpected JSON formats.

Track transactions with Pydantic AI type safety

Use `get_transaction` to retrieve deep details about any Bitcoin transfer. The data is validated at runtime, ensuring your agent works with correct amounts and addresses. This protects your auditing logic from corrupted inputs. If the network returns an odd result, your agent flags it instead of processing bad data.

Setup guide

Set up BTC.com API (BTC.com Explorer & Pool 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": {
        "btccom-api-btccom-explorer-pool-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to BTC.com API (BTC.com Explorer & Pool API) tools.",
)

result = await agent.run("List recent BTC.com API (BTC.com Explorer & Pool 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 BTC.com. 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 BTC.com API (BTC.com Explorer & Pool API) MCP in Pydantic AI

Use the MCPToolset class with your server URL. This integrates the server into your agent, where Pydantic handles the response validation for every tool call.
Yes. It supports both Streamable HTTP and SSE transports. This lets your agent maintain a steady connection to the blockchain data stream.
It will fail loudly. Because your tools are backed by Pydantic models, any deviation from the expected data format triggers an immediate validation error.
Vinkius handles your access keys via a secure endpoint token. Your keys are never exposed in your agent's code or output logs, staying isolated from the start.
Your transaction details are processed in an ephemeral sandbox. Once the Pydantic validation is complete, the data is wiped, leaving no trace of your query history.

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