SportDB MCP Server for LlamaIndex 18 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SportDB as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to SportDB. "
"You have 18 tools available."
),
)
response = await agent.run(
"What tools are available in SportDB?"
)
print(response)
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.
LlamaIndex agents combine SportDB tool responses with indexed documents for comprehensive, grounded answers. Connect 18 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the SportDB MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the SportDB MCP Server
LlamaIndex provides unique advantages when paired with SportDB through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SportDB tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SportDB tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SportDB, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SportDB tools were called, what data was returned, and how it influenced the final answer
SportDB + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SportDB MCP Server delivers measurable value.
Hybrid search: combine SportDB real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SportDB to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SportDB for fresh data
Analytical workflows: chain SportDB queries with LlamaIndex's data connectors to build multi-source analytical reports
SportDB MCP Tools for LlamaIndex (18)
These 18 tools become available when you connect SportDB to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting SportDB to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSportDB + LlamaIndex FAQ
Common questions about integrating SportDB MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect SportDB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect SportDB to LlamaIndex
Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.
