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SportDB MCP Server for LlamaIndex 18 tools — connect in under 2 minutes

Built by Vinkius GDPR 18 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
SportDB
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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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

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.

01

Data-first architecture: LlamaIndex agents combine SportDB tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain SportDB tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query SportDB, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine SportDB real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query SportDB to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying SportDB for fresh data

04

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:

01

get_club_players

Requires the numeric club ID. List all players currently registered to a specific club

02

get_club_profile

Requires the numeric club ID obtained from search results. Get the full profile of a club by its ID

03

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

04

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

05

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

06

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

07

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

08

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

09

get_match

Use the match_id obtained from fixtures or live results. Get detailed information for a specific match by its ID

10

get_match_lineups

Returns player names and positions for each side. Get starting lineups and substitutions for a specific match

11

get_match_stats

Requires a valid match_id. Get in-match statistics for a specific match

12

get_player_profile

Requires the numeric player ID obtained from search results. Get the full profile of a player by their ID

13

get_player_stats

Requires the numeric player ID. Get career and seasonal statistics for a specific player

14

get_player_transfers

Requires the numeric player ID. Get the complete transfer history of a specific player

15

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

16

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

17

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

18

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.

01

"Show me the live football scores right now."

02

"Search for Erling Haaland and show me his transfer history."

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SportDB + LlamaIndex FAQ

Common questions about integrating SportDB MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query SportDB tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect SportDB to LlamaIndex

Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.