Data & Analytics · Windsor.ai + Claude
Windsor.ai MCP with Claude: Faster Cross-Channel Marketing Reporting
The short answer
Claude connects to Windsor.ai through the Model Context Protocol (MCP) or the direct API, using an API key. Once connected, Claude can query marketing metrics, pull cross-channel reports and manage accounts in natural language. Your team sets the permissions, and people approve any supported write actions before they happen.
What is Windsor.ai?
Windsor.ai is a marketing data integration and analytics platform. It connects data from advertising, CRM, ecommerce and other business sources, then brings it into one place. Marketing teams, agencies, ecommerce managers and analysts use it so that dashboards, attribution and performance analysis all draw on the same up-to-date numbers, rather than on spreadsheets that drift out of step.
How Claude connects to Windsor.ai through MCP
The Model Context Protocol is an open standard that lets Claude securely use other software. Think of it as a universal adapter between Claude and a tool. Through it, Claude can read information and take actions, with permissions the organisation controls. Windsor.ai offers its own MCP server and a direct API, and both can be reached using an API key.
Once connected, Claude can ask Windsor.ai for marketing metrics, pull reports that span several channels and check account details. For example, a marketing manager could ask for last week's spend and return on ad spend across three platforms. Claude then answers in plain English, with the figures drawn from the connected data.
Permissions and approvals keep people in charge. Access is set to the least it needs, so Claude only sees the data it should. Any supported write action can be configured to wait for a named person to approve it. Audit logs record what was requested and what was changed, so the organisation can review activity at any time.
What you can automate
Weekly cross-channel performance summary
Each Monday, a marketing lead asks Claude for a summary of spend, clicks, conversions and return on ad spend across paid search, social and email. Claude pulls the figures from Windsor.ai and writes a short briefing that highlights what changed. The team spends its time deciding what to do next, not gathering numbers.
Ad spend anomaly checks
Claude can review the connected data for sudden jumps or drops in cost or conversions. For example, it might flag a campaign whose cost per lead has doubled overnight. The analyst reviews the flag, checks the cause and decides whether to pause or adjust. This catches problems earlier than a monthly report would.
Agency client reporting
An agency account manager can ask Claude for each client's key metrics in one pass and receive a draft report in the agency's usual format. Because the data comes from one connected source, the figures match the client dashboards. The manager reviews the draft before it is sent.
Ecommerce sales and marketing alignment
An ecommerce operations lead can ask how revenue from ecommerce orders compares with the marketing spend that drove it. Claude combines the sales and advertising data held in Windsor.ai to show the relationship by product line or region. This helps teams decide where to put budget next quarter.
Account administration support
Where the connection allows it, a team member can ask Claude to review which data connections are active or to prepare a change to an account. Supported write actions can be routed to an approver first. This keeps routine housekeeping quick while leaving final control with the right person.
An end-to-end workflow: Monthly board pack with CRM reconciliation
TriggerThe first working day of each month, a scheduled request is sent to Claude.
Claude queries Windsor.ai for the previous month's advertising spend, clicks and conversions across all channels.
Claude pulls matching lead and deal data from the CRM to see which marketing sources produced closed revenue.
Claude checks the two sets of figures for gaps, such as leads with no source recorded, and lists them.
Claude drafts a board-ready summary with charts and short commentary on cost per acquisition.
A marketing director reviews the draft and the flagged gaps, then approves it for circulation.
OutcomeBoard packs are prepared in a fraction of the usual time, and marketing and sales figures agree. Typical results vary by business, but many teams report that the reconciliation step, previously the slowest part, becomes routine.
How we set it up
Free automation audit
We review how your marketing reporting works today and identify the workflows worth automating. You receive a clear list of options and an honest view of the likely benefit.
Secure connection
We connect Claude to Windsor.ai using an API key or the MCP server, storing the key securely and granting only the access each workflow needs.
Workflow design
We design the end-to-end process across Windsor.ai and your other systems, such as your CRM or Microsoft 365, and agree which actions need human approval.
Testing against real cases
We test the workflow against past reporting periods and real questions from your team, checking that the figures match your existing dashboards before anything goes live.
Launch, monitoring and training
We launch with monitoring and audit logs in place, then train your team to ask good questions and review outputs. Support continues as your needs grow.
Who benefits
- Marketing director
- Gets a single, current view of performance across channels without waiting for analysts to rebuild reports.
- Performance or media analyst
- Spends less time copying data between tools and more time finding insight and testing ideas.
- Agency account manager
- Produces consistent client reports faster, with figures that match the dashboards clients already use.
- Ecommerce operations lead
- Links sales data with marketing spend to make clearer decisions about budget and product focus.
Security and control
- Access is limited to the minimum needed for each workflow, using the API key's permissions.
- Consequential or write actions can require approval from a named person before they run.
- Audit logs record each request and change so activity can be reviewed.
- Connections are monitored after launch so unusual activity is spotted quickly.
- Results are checked against your existing reports during testing before reliance.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can host their Claude workflows in their own region to align with local data protection expectations. Indian organisations are supported under the Digital Personal Data Protection Act, 2023, with hosting in India where required. Companies in the UAE and Saudi Arabia are designed around local data protection laws, with hosting chosen to meet those requirements. The hosting region is selected during design to suit each client's obligations.
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 Windsor.ai MCP server do?
The Windsor.ai MCP server gives Claude a secure way to reach your marketing data. Through it, Claude can query metrics, pull cross-channel reports and manage accounts when you ask. It acts as a standard connection point, so Claude works with Windsor.ai in a consistent and controlled way rather than through custom code for every request.
Is connecting Claude to Windsor.ai secure?
Security depends on how the connection is set up, and we design it carefully. The API key is stored securely, access is limited to what each workflow needs, approvals can be required for write actions, and audit logs record activity. We also review the setup with you before launch so you understand exactly what Claude can see and do.
What can Claude do with Windsor.ai once connected?
Typically, Claude can answer questions about marketing metrics, build reports that combine several channels, and check account details. Where supported, it can also carry out write actions, such as preparing a change, which can be set to wait for approval. The exact scope depends on the access you grant.
How long does setup take?
Timelines vary with the number of data sources and workflows involved. A focused, single-workflow connection is often ready within a few weeks, including testing and training. We confirm a realistic timeline during the free automation audit, once we understand your reporting needs.
What plan or permissions do I need?
Generally, you need an active Windsor.ai account and an API key with permissions that cover the data and actions you want Claude to use. We help you check that the key has the right scope and advise on any limits before setup begins, so the connection matches what your workflow actually requires.