Lumify Sports Intelligence

ai.lumifyv1.0.1更新于 Sep 29, 2026

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

已验证Streamable HTTP可网页运行AI & ML

安装

在 SourceWeft 中

打开控制台中的 Lumify Sports Intelligence，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "sports-intelligence": {
      "type": "http",
      "url": "https://lumify.ai/mcp"
    }
  }
}

README

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.

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);

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

python

import osfrom 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"))

import osfrom 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

bash

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

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):

json

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

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

Local stdio (clients without remote MCP support):

json

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

{  "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

bash

cd examples/scoreboardnpm install && cp .env.example .env   # set LUMIFY_API_KEYnpm start                             # → http://localhost:3000

cd examples/scoreboardnpm install && cp .env.example .env   # set LUMIFY_API_KEYnpm start                             # → http://localhost:3000

Documentation

API reference: https://lumify.ai/docs/reference
OpenAPI: https://lumify.ai/docs/openapi (schema: /openapi.json · ReDoc · Swagger UI)
Guides (incl. MCP): https://lumify.ai/docs/guides
Quick start: docs/getting-started/quick-start.md
Agent cookbook: docs/agent-cookbook.md
Postman collection: docs/lumify.postman_collection.json

Support & contributing

Questions and bugs: open an issue
Contribution guidelines: CONTRIBUTING.md

License

来源：README.md，提交 f43af0f

工具

工具元数据尚未被收录。

版本历史

v1.0.1最新Sep 16, 2026