Harmonize MCP Server

Your AI tools are only as useful as the payments data behind them.

Harmonize MCP Server is the governed, read-only AI access layer for the Harmonize system of record. It connects your AI tools to standardized and enriched payments data, governed metric definitions, and tested calculations — so every analysis starts from a trusted foundation. 

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AI can access your payments data. The challenge is whether it understands it correctly.

Enterprise teams are increasingly applying AI to payments questions: fee analysis, authorization investigation, dispute trends, and executive narrative. But access to the data is the easy part. Even when that data is already centralized and normalized, AI still needs payments-specific enrichment, governed definitions, and tested calculations to interpret it correctly, and to produce answers teams can explain and defend.

Q

Normalized data is not enough, it still need payments-specific enrichment, definitions, and business logic.

Q

Metrics like effective rate, downgrade rate, and processing fees can produce different answers  depending on the basis and scope being used

Q

Giving AI a definition doesn’t necessairly mean it will apply it correctly everytime, calculations need to be applied consistently.

Q

Answers need to hold up, finance and payments teams need answers they can explain and defend in a QBR.

WHAT OUR RESEARCH FOUND

Same AI model. Different data foundation.

The difference was the data foundation: standardized data, governed definitions, and tested calculations.

Read The Data Tax study

5% → 98%

Accuracy

84%

Lower cost per question

  • Accuracy without the data foundation: 5%
  • Accuracy with the data foundation: 98%

The AI generates the analysis. The Harmonize system of record provides the ground truth it works from. That combination — governed data, consistent definitions, regularly refreshed — is what makes AI-generated payments analysis defensible.

MCP Server is included with Harmonize

Harmonize is the platform. Analytics and Data Exchange are two ways to consume the same system of record. MCP is the AI access layer that runs through both, powering the AI features inside Harmonize Analytics today, and giving Analytics and Data Exchange customers a secure connection point for their own AI tools.

You ask

A plain-language question
in your AI assistant

1

Harmonize verifies you

Secure sign-in,
scoped to your data

2

Harmonize answers

A governed figure,
returned with context

3

What it does

Answers questions about approval rates, fees and interchange, effective rates, refunds and disputes

Explains metrics using governed business definitions

Breaks results down by processor, card brand, channel, merchant hierarchy and period

Looks up issuer and card attributes for a BIN

Compares periods: month over month, year over year

What it doesn’t do

Change anything. It is read-only against your Harmonize data and configuration

Accept free-form SQL. Every query comes from the governed catalog

Export transactions. Results are query-limited summaries, not records

Move money or change anything in another system

Structured, standardized payments context — delivered directly to your AI tools.

Model Context Protocol (MCP) is an open standard that allows AI assistants to connect to external data sources with structured access. Harmonize adds the governance: which tools exist, what they can return, and whose data they can see.

With Harmonize MCP Server, your AI tools connect to the Harmonize system of record for payment outcomes.

Ask your AI tools questions like:

"What drove the increase in interchange fees last month?"

"Which issuers show the highest decline rates on debit transactions over the past 90 days?"

"Build a draft QBR narrative based on this quarter's cost and performance data."

"Summarize authorization performance by PSP — and flag anything that looks anomalous."

How have our processing fees trended over the past six months?

Harmonize

MCP Server

GOVERNED

Here is your effective processing rate over the past six months.

Effective rate

Trending down

Illustrative effective processing rate, April to September An illustrative downward trend from 2.41 percent in April to 2.24 percent in September.

2.41%

2.24%

  • Apr
  • May
  • Jun
  • Jul
  • Aug
  • Sep

Computed from the Harmonize system of record.
Consistent definitions, your data only.

ILLUSTRATIVE EXAMPLE

Answers grounded in governed Harmonize data — consistent definitions, continuously updated datasets, and the same enrichment logic that powers the dashboards your team already trusts.

Built for the teams who own payments performance.

Payments Owners

You’re accountable for cost, performance, and disputes — and you’re increasingly being asked to use AI to investigate, explain, and prioritize what to fix next. Whether you’re using the AI features inside Harmonize Analytics or pointing Claude, ChatGPT, Cursor, or another MCP-compatible tool at your data. MCP makes sure every answer starts from the same governed system of record — so the analysis you take into a QBR is something you can stand behind.

Finance, Treasury, and Executive Teams

CFOs and finance leaders need confidence in the answers their teams bring forward — not another set of numbers that don’t match the dashboard. When AI explanations inside Harmonize and AI tools across the business all draw from the same governed system of record, costs, performance, and risk roll up consistently. Defensible reporting, without adding headcount.

Data & IT Teams

You already deliver Harmonize datasets to the business through dashboards or BI tools. MCP extends that same governed access pattern to AI — a durable, maintained connection point so internal LLM workflows and AI assistants work from standardized definitions and regularly refreshed data — without the brittle custom pipelines or one-off file uploads your team would otherwise be on the hook to maintain.

Embedded expertise — for the AI era.

Every Harmonize customer has access to payments and data subject-matter experts who can help teams validate data structures, clarify metric definitions, and frame the right starting points for AI analysis — whether you’re using AI inside the Harmonize platform or pointing your own tools at the system of record.

That support matters especially when standing up AI workflows. Getting the prompts, metrics, and data sources grounded in governed Harmonize datasets — before they become the foundation of internal tools or executive reporting — is what separates analysis that holds up from analysis that requires constant correction.

Learn More about Advisory Services

WHERE THE EXPERTS HELP

N

Validate data structures before they anchor AI workflows

N

Clarify metric definitions so answers stay consistent

N

Frame the right starting points for AI analysis

Included with Harmonize

For Your Technical Team

Everything IT, security, and implementation need to review and connect Harmonize MCP, in one place.

Technical overview

Review it · IT & Security

N

How a question is answered, end to end

N

Security and data handling: sign-in, client isolation, logging, hosting

N

Which AI tools work today

Open the technical overview

Setup documentation

Set it up · Implementers

N

Step-by-step setup for Claude, ChatGPT, and Cursor

N

Returning-user steps

N

Example questions and troubleshooting

View documentation

Ready to connect your AI tools to governed payments data?

Harmonize MCP Server is included with Harmonize Analytics and Harmonize Data Exchange. Talk to us about how it fits your AI workflow — and what governed payments context looks like in practice.

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