langchain-lumify 0.1.0

LangChain integration for Lumify — load all Lumify sports-intelligence tools (schedules, live scores, odds, betting splits, explainable AI bet confidence) into any LangChain or LangGraph agent via MCP.

langchain-lumify

LangChain integration for Lumify — the agent-ready sports intelligence API. Load all Lumify tools (schedules, live scores, odds, public betting splits, and explainable AI bet confidence across 8+ sports) into any LangChain or LangGraph agent in one call.

It's a thin, typed wrapper over langchain-mcp-adapters pointed at Lumify's hosted MCP server (https://lumify.ai/mcp).

Install

pip install langchain-lumify
# Agent examples also need:
pip install langchain

Until the package is on PyPI, install from the public repo:

pip install "git+https://github.com/lumifyai/lumify.git#subdirectory=clients/langchain-lumify"

Get a key

Grab a free instant key in seconds — no signup, email, or card at https://lumify.ai/docs/ai (100 credits, 14-day expiry). For a persistent account with 1,000 starter credits, use https://lumify.ai/api-keys.

Set it as LUMIFY_API_KEY, or pass it explicitly. get_lumify_tools requires a key by default so the first tool call does not fail with an opaque 401. Pass require_api_key=False only if you want to introspect the public tools/list catalog. Raw lmfy-... values and Bearer lmfy-... copy-pastes are both accepted.

Quick start

import asyncio
from langchain_lumify import get_lumify_tools
from langchain.agents import create_agent


async def main():
    tools = await get_lumify_tools()  # reads LUMIFY_API_KEY
    agent = create_agent("openai:gpt-4.1", tools)
    result = await agent.ainvoke(
        {"messages": "What's the best MLB bet today, with the rationale?"}
    )
    print(result["messages"][-1].content)


asyncio.run(main())

Pass a key explicitly or point at a self-hosted endpoint:

tools = await get_lumify_tools(api_key="lmfy-...", url="https://lumify.ai/mcp")

Toolkit

from langchain_lumify import LumifyToolkit

toolkit = await LumifyToolkit.acreate()          # loads the tools
agent = create_agent("openai:gpt-4.1", toolkit.get_tools())

Do not call LumifyToolkit() with no args — that raises. Always use acreate().

Tools

Loads the full Lumify MCP tool surface: list_sports, list_seasons, list_events, get_event, batch_get_events, query_events, get_live_score, get_odds, get_odds_history, get_splits, get_intelligence, list_teams, get_team, search_players, get_player, and get_player_events.

Links

• Docs / instant key: https://lumify.ai/docs/ai
• MCP guide: https://lumify.ai/docs/guides#mcp
• API reference: https://lumify.ai/docs/reference

License

MIT