Anna's Archive and OpenAlex
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Description from the maker (original English)
Schedules, scores, odds, splits & explainable AI bet confidence — 8+ sports, free instant key.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http sports-intelligence https://lumify.ai/mcp --header 'Authorization: your-value'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sports-intelligence": {
"url": "https://lumify.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"sports-intelligence": {
"type": "http",
"url": "https://lumify.ai/mcp",
"headers": {
"Authorization": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
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Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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You need to fill in: Authorization
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Anna's Archive and OpenAlex, Neural Cosmology, slopped.site
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Find books, papers and dissertations with Anna's Archive and OpenAlex, then download or read them.
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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.
Everything here authenticates with a Lumify API key (lmfy-...).
export LUMIFY_API_KEY="lmfy-xxxxxx.yyyyyyyy"
| 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 |
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 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 https://lumify.ai/v1/events?sport=nfl&status=inprogress \
-H "Authorization: Bearer $LUMIFY_API_KEY"
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.
| 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
/openapi.json · ReDoc · Swagger UI)docs/getting-started/quick-start.mddocs/agent-cookbook.mddocs/lumify.postman_collection.jsonCONTRIBUTING.mdMIT © 2026 Lumify AI