SportDB MCP Server for Pydantic AI 18 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect SportDB through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to SportDB "
"(18 tools)."
),
)
result = await agent.run(
"What tools are available in SportDB?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About SportDB MCP Server
Turn your AI agent into a dedicated sports analyst with SportDB. Query real-time match data, historical league tables, and deep player intelligence across multiple sports — all through natural conversation.
Pydantic AI validates every SportDB tool response against typed schemas, catching data inconsistencies at build time. Connect 18 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Live Match Tracking — Retrieve real-time scores for football, basketball, hockey, and tennis as they happen
- League Standings — Fetch full league tables with points, wins, draws, losses, and goal difference for any season
- Fixture Schedules — Browse completed and upcoming matches for specific leagues and seasons
- Match Deep Dive — Inspect individual matches with lineups, formations, substitutions, and in-game statistics
- Club Intelligence — Search for clubs, view profiles with stadium information, and retrieve current squad rosters
- Player Analytics — Search players, view career profiles, seasonal statistics, and complete transfer histories
The SportDB MCP Server exposes 18 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect SportDB to Pydantic AI via MCP
Follow these steps to integrate the SportDB MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 18 tools from SportDB with type-safe schemas
Why Use Pydantic AI with the SportDB MCP Server
Pydantic AI provides unique advantages when paired with SportDB through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your SportDB integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your SportDB connection logic from agent behavior for testable, maintainable code
SportDB + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the SportDB MCP Server delivers measurable value.
Type-safe data pipelines: query SportDB with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple SportDB tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query SportDB and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock SportDB responses and write comprehensive agent tests
SportDB MCP Tools for Pydantic AI (18)
These 18 tools become available when you connect SportDB to Pydantic AI via MCP:
get_club_players
Requires the numeric club ID. List all players currently registered to a specific club
get_club_profile
Requires the numeric club ID obtained from search results. Get the full profile of a club by its ID
get_competition_seasons
g., "premier-league"), returns all available seasons. Use this to find the season identifier needed for standings and fixtures queries. List available seasons for a specific competition
get_country_competitions
g., "england", "spain", "germany"), returns all competitions available in that country. The response includes competition slugs needed to drill deeper into seasons and standings. List competitions (leagues/cups) available in a specific country for a sport
get_fixtures
Includes dates, teams, scores for completed matches, and upcoming schedule. Requires sport, country_slug, competition_slug, and season. Get scheduled and completed match fixtures for a season
get_live_basketball
Use this when the user asks about ongoing basketball games or live NBA/EuroLeague results. Get live basketball match scores happening right now
get_live_football
Use this when the user asks about ongoing football games, current scores, or live results. Get live football (soccer) match scores happening right now
get_live_hockey
Use this when the user asks about ongoing hockey games or live NHL/KHL results. Get live ice hockey match scores happening right now
get_match
Use the match_id obtained from fixtures or live results. Get detailed information for a specific match by its ID
get_match_lineups
Returns player names and positions for each side. Get starting lineups and substitutions for a specific match
get_match_stats
Requires a valid match_id. Get in-match statistics for a specific match
get_player_profile
Requires the numeric player ID obtained from search results. Get the full profile of a player by their ID
get_player_stats
Requires the numeric player ID. Get career and seasonal statistics for a specific player
get_player_transfers
Requires the numeric player ID. Get the complete transfer history of a specific player
get_standings
Requires sport, country_slug, competition_slug, and season (e.g., "2024-2025"). This is the primary tool for answering "who is top of the league" questions. Get league table standings for a specific season of a competition
list_countries
The sport parameter should be a slug like "football", "basketball", "hockey", or "tennis". Use this as the starting point to navigate the competition hierarchy. List all countries available for a given sport
search_clubs
Returns a list of matching clubs with their IDs and basic metadata. Use this to find a club ID before requesting its profile or player roster. Search for clubs/teams by name keyword
search_players
Returns matching players with their IDs and basic profile data. Use this to find a player ID before requesting their detailed profile, statistics, or transfer history. Search for players by name keyword
Example Prompts for SportDB in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with SportDB immediately.
"Show me the live football scores right now."
"Search for Erling Haaland and show me his transfer history."
"Get the La Liga standings for the 2024-2025 season."
Troubleshooting SportDB MCP Server with Pydantic AI
Common issues when connecting SportDB to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSportDB + Pydantic AI FAQ
Common questions about integrating SportDB MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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Connect SportDB to Pydantic AI
Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.