Sports · MCP server
Lumify Sports Intelligence: MCP server, setup and security
Lumify Sports Intelligence is an open-source MCP server that lets an AI agent retrieve sports scores odds betting splits and explainable betting confidence. Its repository has 11 stars and its last commit is from October 10, 2026 and it is licensed under MIT.
| Adoption (stars) | 10/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 26/30 |
What Lumify Sports Intelligence does
According to its repository: “Sports intelligence: schedules, live scores, odds, betting splits and explainable bet confidence.”
An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Lumify Sports Intelligence is listed under Sports, a category of 27 servers in the directory, where it ranks #19 by stars.
Topics declared by the repository: sports-api, odds-api.
Installing and connecting Lumify Sports Intelligence
Distribution modes declared in the official MCP registry:
- remote server (streamable-http): you connect to it by URL, with nothing to install locally
Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript.
Security: what to check
An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Lumify Sports Intelligence. That does not replace reading the code.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on July 17, 2026, the lumifyai/lumify repository has 11 stars and 1 forks, with 0 open issues. It has more stars than 28% of the servers in the directory. It received changes this month. Version published in the registry: 1.0.1 (July 20, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Lumify Sports Intelligence is a reasonable choice; check the points below before connecting it.
Strengths
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Limitations
- Few visible users
Alternatives
- Fantasy Football Manager88 ★
- Trainingpeaks MCP185 ★
- MCP sports hub40 ★
- Strava MCP (r-huijts)501 ★
- Suunto MCP35 ★
- Wc26 MCP34 ★
Learn more
Frequently asked questions
How do I install Lumify Sports Intelligence?
Lumify Sports Intelligence is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of lumifyai/lumify.
Is Lumify Sports Intelligence free?
The code is published under the MIT licence and can be used free of charge.
Is Lumify Sports Intelligence safe?
No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.
Is it an official server?
It is published in the MCP registry under the verified namespace ai.lumify, which shows the publisher controls that domain.
What are the alternatives to Lumify Sports Intelligence?
In the same category: Fantasy Football Manager, Trainingpeaks MCP, MCP sports hub, and Strava MCP (r-huijts).
Related articles
- Build your own MCP server in 30 minutesOctober 24, 2026
- Automate your inbox with an AI agentOctober 18, 2026
- MCP, A2A, and tool calling: agent protocols explainedOctober 17, 2026
- Build an AI agent with n8n, without codingOctober 16, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score