How to Use the API-Futebol (Brazilian Football) MCP in Pydantic AI
Build type-safe Brazilian football trackers using Pydantic AI to validate every live score and standing at runtime.
Works with every AI agent you already use
…and any MCP-compatible client
Connect API-Futebol (Brazilian Football) MCP to Pydantic AI
Create your Vinkius account to connect API-Futebol (Brazilian Football) 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.
Type-Safe Standing Validation
The `get_championship_standings` tool returns structured tables of Brazilian league points. When using Pydantic AI, every row of this table is validated against strict Pydantic models before your agent can read it. If the API schema shifts, your system throws a validation error immediately instead of passing corrupted standings into your application. This guarantees that your UI displays accurate, uncorrupted data.
Strict Live Score Tracking
The `get_live_matches` tool delivers real-time match data directly from active games. Your Pydantic AI agent parses this live stream, ensuring that score integers and team names strictly conform to your defined schemas. By using the unified `MCPToolset` configuration, your agent stays model-agnostic. You can switch from OpenAI to Anthropic models without rewriting your live match parsers.
Error-Free Top Scorer Analysis with MCP Server
The `list_top_scorers` tool retrieves player goals and statistics for a given championship. This MCP Server guarantees that the returned numeric fields map directly to Python floats and integers. Your agent uses these validated numbers to calculate scoring averages without risk of type mismatches. If a player name is missing, the validation layer catches it before it corrupts your analytics.
Set up API-Futebol (Brazilian Football) 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"api-futebol-brazilian-football-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to API-Futebol (Brazilian Football) tools.",
)
result = await agent.run("List recent API-Futebol (Brazilian Football) 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 API-Futebol. 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 API-Futebol (Brazilian Football) MCP in Pydantic AI
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