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lumify

Official TypeScript & Python SDKs + MCP integration for the Lumify sports-intelligence API: schedules, live scores, odds, betting splits, and explainable bet confidence.

Install / Use

claude mcp add lumifyai -- npx -y github:lumifyai/lumify

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

80/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of lumify

lumify scores 80/100 on our quality scale, 3567th of 4,595 Development & Engineering skills we index.

Its MCP Server is 5.1 KB long, well organised into 12 sections with 7 code examples: a solid amount of guidance for an agent.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so lumify is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

lumify compared with similar skills

All 4 of these similar skills score higher than lumify; compare them before choosing.

SkillScoreStarsUpdatedFormat
lumify (this skill)by lumifyai80101d agoMCP Server
Agent-Reachby Panniantong10096.2k3d agoCLAUDE.md
headroomby headroomlabs-ai10075.1k1d agoCLAUDE.md
CowAgentby zhayujie10047.4ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10046.2k3d agoCLAUDE.md

Frequently asked questions

How do I install lumify?
Run claude mcp add lumifyai -- npx -y github:lumifyai/lumify. The install tabs above show the steps for each supported agent.
Which AI agents does lumify work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is lumify safe to use?
It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is lumify still maintained?
The repository was last updated yesterday, so lumify is actively maintained.

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…[redacted]"

Packages

| Runtime | Package | Install | Docs | |---|---|---|---| | TypeScript / JavaScript | @lumifyai/sdk | npm install @lumifyai/sdk | README | | Python | lumify-sdk | pip install lumify-sdk | README | | LangChain | langchain-lumify | pip install langchain-lumify | README | | LlamaIndex | llamaindex-lumify | pip install llamaindex-lumify | README | | CrewAI | crewai-lumify | pip install crewai-lumify | README | | MCP stdio bridge | @lumifyai/mcp | npx -y @lumifyai/mcp | README |

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

| Demo | Path | Tutorial | |---|---|---| | Live sports scoreboard | examples/scoreboard | Build 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

Related Skills

View on GitHub
GitHub Stars10
CategoryDevelopment
Updated1d ago
Forks0

Languages

Python

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 info