Data & Analytics · Lumify + Claude
Lumify MCP with Claude: Live Sports Data and Betting Insights for Your Team
The short answer
Claude works with Lumify through the Model Context Protocol, a secure standard that lets Claude use the tool with permissions the organisation sets. Once connected with an API key, Claude can fetch live scores, check sports schedules, compare odds and analyse team statistics, then explain the results in plain English.
What is Lumify?
Lumify is a sports intelligence API that provides schedules, live scores, odds, statistics and betting insights. Sports app developers, analytics teams and product builders use it to power dashboards, reporting workflows and explainable betting tools. Access is credit-metered, so teams can track how much data they use. It can be reached through an MCP server or a direct API, giving technical teams flexibility in how they build.
How Claude connects to Lumify through MCP
The Model Context Protocol, or MCP, is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and a tool like Lumify. It lets Claude read information and take defined actions, with access limited to what the organisation allows.
Once Lumify is connected, Claude can ask for live scores, look up upcoming fixtures, compare odds across markets and pull team statistics. Claude then turns these numbers into clear summaries, such as a short briefing on a team's recent form or an explanation of why a betting signal moved.
People stay in charge throughout. Access uses an API key with the narrowest permissions needed, and usage is visible in audit logs. Consequential actions can be set to require a person's approval before anything happens, and outputs are reviewed by the team that owns the decision.
What you can automate
Live Score Briefings for Editorial Teams
Sports media teams often need quick updates during busy match days. Claude can fetch live scores from Lumify and draft short match summaries, league roundups or push notification text. An editor reviews each draft before it goes out, which keeps accuracy and tone under human control while cutting the time spent copying numbers by hand.
Fixture Planning for Operations Managers
Operations staff who plan events, broadcasts or staffing need to know when matches take place. Claude can check Lumify schedules for the leagues and dates that matter, then list conflicts, gaps and venue clashes in a simple table. The operations manager confirms the plan and shares it with the relevant departments.
Odds Comparison Reports for Analysts
Analysts who study the market often compare odds across many fixtures. Claude can pull current odds from Lumify, arrange them side by side and highlight large movements since the previous check. The analyst then decides which findings matter and documents the reasoning for the wider team.
Team Statistics for Product and Coaching Staff
Sports app developers and coaching staff want clear statistics without wading through spreadsheets. Claude can analyse team and player figures from Lumify and explain trends, such as scoring patterns or home and away splits, in everyday language. Staff use these explanations as a starting point for discussion rather than a final verdict.
Explainable Betting Insights for Product Teams
Teams building responsible betting tools need to show users why a signal appeared. Claude can read the odds and statistics from Lumify and describe, in plain words, the factors behind each insight. Because the explanation is generated from visible data, the product team can check it and adjust the wording to meet their own standards and local rules.
An end-to-end workflow: Match-Day Reporting Pipeline
TriggerA scheduled check each morning, or when a fixture is marked as starting soon.
Claude requests the day's fixtures and live status for selected leagues from Lumify, using the API key with read-only permissions.
Claude pulls team statistics and recent results for each fixture and notes any changes in odds.
Claude drafts a short preview and live-update summary for each match, marking any figures it could not confirm.
The draft is posted to the content team's shared workspace in Microsoft 365 for review.
After an editor approves the summaries, they are published to the company CRM newsletter list and the website's content system.
OutcomeContent teams typically publish match coverage faster, with consistent figures and a clear review step before anything goes live.
How we set it up
Free Automation Audit
We meet your team to learn which sports workflows take the most time, such as reporting, scheduling or analysis. We identify the processes worth automating and agree on what success looks like.
Secure API Key Connection
We connect Claude to Lumify through its MCP server or direct API, using an API key stored in a secure vault. Access is set to the least permissions the workflow needs, with credit usage tracked from the start.
Workflow Design
We design the end-to-end process across Lumify and your other systems, such as Microsoft 365, your CRM or your ticketing tool. People approve every consequential action, and we set clear rules for what Claude may and may not do.
Testing Against Real Cases
We test the workflow using past fixtures, reports and questions from your team. We check accuracy, tune the prompts and confirm that explanations match the underlying data before anything reaches users.
Launch, Monitoring and Training
We launch with audit logs and usage monitoring in place, and train your team to run and review the workflow. We stay on hand for adjustments as your needs grow.
Who benefits
- Editorial and Content Leaders
- Faster, consistent match coverage with a clear human review step before publication.
- Operations Managers
- Reliable fixture schedules and conflict checks without manual cross-referencing.
- Product and Engineering Teams
- A practical way to add explainable sports insights to apps, with usage controlled by credits.
- Analysts and Data Teams
- Quicker odds comparisons and statistical summaries, freeing time for deeper judgement.
Security and control
- Access uses an API key with least-privilege permissions, limited to the data each workflow requires.
- Usage and credit consumption are monitored and visible in audit logs.
- Consequential actions, such as publishing or sharing outputs, require approval from a named person.
- Betting-related outputs are framed as explanations of data, not guarantees, and are reviewed against your own responsible-use policies.
- Credentials are stored in a secure vault and rotated on a regular schedule.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host the Claude workflow in their chosen region, aligned with their own data protection rules. Companies in India must consider the Digital Personal Data Protection Act, 2023, and we can host in India to support that. Organisations in the UAE and Saudi Arabia must follow their local data protection laws, and we select the hosting region to meet those requirements before any build begins.
Learn more about Claude and MCP
Anthropic's AI model and assistant.
Secure links between Claude and business tools.
How engineers build and change software with Claude.
Hosted agents that run multi-step work.
The open standard Claude uses to connect to tools.
Frequently asked questions
What does the Lumify MCP server do?
The Lumify MCP server acts as a secure bridge between Lumify's sports data and AI tools such as Claude. It lets Claude request schedules, live scores, odds and statistics using defined permissions, without giving the AI free access to your whole account. Lumify also offers a direct API, and we choose the approach that best fits your build.
Is connecting Lumify to Claude secure?
Security depends on how the connection is set up. We use an API key stored in a secure vault, grant only the permissions a workflow needs and log every request. Consequential actions can require human approval. We cannot guarantee security in every case, but we design each connection with these controls in place from the start.
What can Claude actually do with Lumify?
Once connected, Claude can typically fetch live scores, check sports schedules, compare odds, analyse team statistics and explain betting signals in natural language. It can then summarise these findings, draft reports or flag changes. Claude reads and reasons over the data; decisions and publication remain with your people.
How long does setup take?
A simple single-workflow connection can often be set up in a few weeks, including testing. More complex builds involving several systems, custom applications or multiple regions usually take longer. After the free automation audit, we give you a realistic timeline based on your specific workflows and data needs.
Which plan or permissions do I need?
You need an active Lumify account with API access and an API key with permissions that cover the data your workflow uses. Credit-metered access means usage depends on the volume of requests. We review your current access during the audit and recommend what is needed, without assuming any particular plan.