Odel
Lumify Sports Intelligence

Lumify Sports Intelligence

@lumifyai3PythonMITUpdated 3 days ago

Schedules, scores, odds, splits & explainable AI bet confidence — 8+ sports, free instant key.

Server endpointStreamable HTTPNo authProbed

This is the third-party server itself — Odel doesn't run it. Hitting this URL directly talks straight to the upstream server with no auth or proxying. Connect through Odel to front it with managed auth.

Lumify — Client SDKs & MCP

smithery badge lumify MCP server

Official client libraries and Model Context Protocol (MCP) integration for Lumify, the agent-ready sports-intelligence API: real-time schedules, live scores, odds, line movement, public betting splits, and explainable AI bet confidence across MLB, NFL, NCAAF, NCAAB, NBA, NHL, tennis, and soccer (MLS, EPL, La Liga, Serie A, Bundesliga, Ligue 1, and UEFA Champions League).

This repository is the public home for the client SDKs, the MCP stdio bridge, and developer docs/examples. Lumify itself is a hosted API at https://lumify.ai — you don't run a server yourself.

Get an API key

Everything here authenticates with a Lumify API key (lmfy-...).

  • Fastest — no signup: grab a free instant trial key at https://lumify.ai/docs/ai (click "Get instant trial key"). No account, email, or credit card — 100 credits, 14-day expiry. Paste it and start calling.
  • Persistent account: create a key at https://lumify.ai/api-keys — free trial with 1,000 credits, no credit card required.
export LUMIFY_API_KEY="lmfy-xxxxxx.yyyyyyyy"

Packages

RuntimePackageInstallDocs
TypeScript / JavaScript@lumifyai/sdknpm install @lumifyai/sdkREADME
Pythonlumify-sdkpip install lumify-sdkREADME
LangChainlangchain-lumifypip install langchain-lumifyREADME
LlamaIndexllamaindex-lumifypip install llamaindex-lumifyREADME
CrewAIcrewai-lumifypip install crewai-lumifyREADME
MCP stdio bridge@lumifyai/mcpnpx -y @lumifyai/mcpREADME

Quick start

TypeScript

import { Lumify } from "@lumifyai/sdk";

const client = new Lumify({ apiKey: process.env.LUMIFY_API_KEY! });

const { sports } = await client.sports.list();
const event = await client.events.get(12345, { includeOdds: true, includeIntelligence: true });
console.log(event.status, event.intelligence?.bets);

Python

import os
from lumify import Lumify

client = Lumify(api_key=os.environ["LUMIFY_API_KEY"])

sports = client.sports.list()
event = client.events.get(12345, include_odds=True, include_intelligence=True)
print(event["status"], event.get("intelligence"))

curl

curl https://lumify.ai/v1/events?sport=nfl&status=inprogress \
  -H "Authorization: Bearer $LUMIFY_API_KEY"

Use it from an AI agent (MCP)

Lumify runs a hosted MCP server at https://lumify.ai/mcp (Streamable HTTP, JSON mode, stateless). Point any MCP-compatible client at it.

Remote (Cursor, VS Code, Claude Desktop with remote support):

{
  "mcpServers": {
    "lumify": {
      "url": "https://lumify.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Local stdio (clients without remote MCP support):

{
  "mcpServers": {
    "lumify": {
      "command": "npx",
      "args": ["-y", "@lumifyai/mcp"],
      "env": { "LUMIFY_API_KEY": "YOUR_API_KEY" }
    }
  }
}

See the MCP bridge README and the MCP guide for the full tool catalog.

Examples

DemoPathTutorial
Live sports scoreboardexamples/scoreboardBuild a live sports scoreboard
cd examples/scoreboard
npm install && cp .env.example .env   # set LUMIFY_API_KEY
npm start                             # → http://localhost:3000

Documentation

Support & contributing

License

MIT © 2026 Lumify AI