SportDB MCP Server for LangChain 18 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect SportDB through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"sportdb": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using SportDB, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with SportDB through native MCP adapters. Connect 18 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the SportDB MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 18 tools from SportDB via MCP
Why Use LangChain with the SportDB MCP Server
LangChain provides unique advantages when paired with SportDB through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine SportDB MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across SportDB queries for multi-turn workflows
SportDB + LangChain Use Cases
Practical scenarios where LangChain combined with the SportDB MCP Server delivers measurable value.
RAG with live data: combine SportDB tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query SportDB, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain SportDB tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every SportDB tool call, measure latency, and optimize your agent's performance
SportDB MCP Tools for LangChain (18)
These 18 tools become available when you connect SportDB to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting SportDB to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSportDB + LangChain FAQ
Common questions about integrating SportDB MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect SportDB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 LangChain
Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.