MCP SERVER FOR CLOVER + SQUARE
Use your Clover or Square data in Claude, ChatGPT, Grok and other AI tools
Spark IQ is the specialist that knows your business. AI tools are the generalists that reach across everything else you use. Spark's hosted MCP server connects the two, with simple setup and no technical expertise required.
- Up to 15 analysis tools
- Token-efficient by design
- Always read-only
- User + location controls
BUILT FOR YOUR POS
One analysis layer for Clover and Square.
Choose your platform for specific capabilities, comparisons, and setup details.
MCP Server for Clover
MCP Server for Square
Spark IQ and your AI tool do different jobs
Spark IQ is the specialist. It knows your business, applies proven best practices, and uses 35+ analysis tools to answer hard questions about performance. When business analysis is the whole job, working in Spark IQ directly gives you the most capable answer.
Claude, ChatGPT, Grok and other general-purpose AI tools are the generalists. They reach across the other systems you use, and they can run scheduled, multi-step work spanning several of them at once. Spark IQ does not do that — its proactive insights stay within your Clover and Square business analysis.
Spark's MCP server connects the two. Through MCP, your AI tool can use 15 Spark IQ tools. Spark IQ itself offers 20+ additional deep-dive analytical tools. You trade some analytical depth for a great deal of reach.
That trade pays off when a task crosses systems. Running payroll, for example, might mean pulling timesheets from one system, credit card tips from Spark IQ, and cash tips from a spreadsheet. A general-purpose AI tool can assemble all three and repeat it every pay period. Spark IQ supplies the part only it can: accurate, analysis-ready business data.
15 purpose-built analysis tools
These are the 15 tools Spark IQ hands to your AI tool — enough to understand performance, investigate the details, and add context that Clover or Square data alone cannot provide.
Spark IQ prepares the data, calculates consistent performance metrics, and adds the context needed for useful answers. The same analysis layer works across Clover and Square, including businesses that use both.
Every tool includes extensive filters and sorting options, so the AI tool can request only the rows and details relevant to the question. This token-efficient design can reduce unnecessary AI usage, lower fees when usage is token-priced, and make usage limits less likely to interrupt an analysis.
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Period summaries
Calculate totals and averages for a day, week, month, or custom timeframe.
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Period breakdowns
Break one timeframe down by hour, product, category, channel, or other dimensions.
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Orders
Inspect order-level details, exceptions, and unusual transactions.
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Trends
Follow performance metrics across weeks, months, and years.
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Products
Examine product details, pricing, and performance.
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Categories
Compare category sales, volume, and profitability.
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Employees
Analyze sales and performance by employee.
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Locations
Compare the business locations a user is approved to access.
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Heatmaps
Reveal recurring patterns by day of week and time of day.
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Bests
Find record days, standout hours, and best performance.
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Beyond POS data
Price changes
Measure what happened before and after menu price changes.
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Beyond POS data
Day context
Add holidays, events, and special operating hours to the analysis.
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Beyond POS data
Goals
Track progress, projections, and performance gaps.
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Beyond POS data
Google reviews
Bring customer feedback from Google Business Profile into the analysis.
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Beyond POS data
Weather
Add local weather conditions that may help explain performance.
You stay in control
Access through Spark's hosted MCP server is always read-only. MCP-compatible AIs can analyze the information you approve, but they cannot use the connection to change orders, products, employee records, settings, or anything else in Clover or Square.
Access is limited at two levels: MCP must be enabled for the individual user, and that user can see only the business locations they are already permitted to access in Spark. Access can be changed or removed for a user at any time.
How it works
- Connect Clover or Square to Spark. Spark securely syncs and prepares your business data.
- Add Spark's hosted MCP server to an MCP-compatible AI. Follow the verified instructions for Claude, ChatGPT, Grok or other AIs.
- Sign in securely. Spark checks that MCP is enabled for you and applies your location access.
- Ask naturally. Your AI tool selects the appropriate read-only Spark analysis tools, grounds its answer in your business data, and can combine that analysis with the other systems it connects to.
QUESTIONS AND ANSWERS
Frequently Asked Questions
MCP is a standard that lets Claude, ChatGPT, Grok, and other MCP-compatible AIs securely use capabilities supplied by another service. Spark's hosted MCP server lets those tools request approved analyses from Spark IQ without manually copying data between products.
No. Every analysis tool available through the MCP connection is read-only. It can retrieve and analyze authorized information, but it cannot change orders, products, employees, settings, or other POS records. There is zero risk of the AI breaking your POS setup using this MCP connection.
Spark is being verified with Claude, ChatGPT, Grok, and other tools that support remote MCP servers. Compatibility and administrator requirements vary by product and plan. See the setup guide for current status or contact support.
Use whichever fits the job. For business analysis on its own, Spark IQ is the more capable choice: it offers 20+ analysis tools above and beyond the 15 available through MCP, and it applies proven best practices a general-purpose AI cannot.
Use Claude, ChatGPT, Grok or another MCP-compatible AI when the task crosses systems Spark does not connect to, such as spreadsheets, payroll, or timesheets, or when you want the work to run on a schedule.
Every analysis tool includes aggregations, filters and sorting options that help return only the information relevant to the question. Sending less unnecessary data can reduce token consumption, lower AI fees when usage is token-priced, and help avoid reaching usage limits as quickly.
No. MCP must be enabled for each individual user, and each user can analyze only the locations that person is already permitted to access in Spark.
Yes. MCP server access is included with the Spark plan at no additional charge. Usage limits may apply. Spark may introduce charges for unusually high usage in the future, with advance notice before any pricing change.
SPECIALIST ANALYSIS. BROADER REACH.
Bring Spark IQ analysis into Claude, ChatGPT, Grok and other MCP-compatible AI.
Use up to 15 purpose-built analysis tools for sales, products, employees, locations, goals, reviews, trends, and more – with read-only access you control.