AI & Machine Learning · Markup AI + Claude
Markup AI MCP with Claude: Keep Every Draft On-Brand and Consistent
The short answer
Claude works with Markup AI through the Model Context Protocol (MCP), an open standard that lets Claude securely use other software. Once connected with an API key, Claude can ask Markup AI to evaluate drafts against your brand voice, terminology, personas and style rules, then suggest or apply improvements in plain language.
What is Markup AI?
Markup AI is a content intelligence platform. It helps organisations evaluate and improve written content so that every draft stays clear, consistent and on-brand. Marketing, communications, product and documentation teams typically use it to check that terminology is correct, that tone suits the intended reader, and that style rules are followed. It can be used through its MCP server or its direct API, depending on how your team works.
How Claude connects to Markup AI through MCP
The Model Context Protocol is an open standard that acts like a universal adapter between Claude and other software. It lets Claude use a tool securely, reading information and taking actions, with permissions your organisation controls. For Markup AI, the connection uses an API key, so access is granted deliberately and can be withdrawn at any time.
Once connected, Claude can send drafts to Markup AI for evaluation, ask about brand terminology and persona fit, and receive suggested improvements to writing style. Your team can then ask for a rewrite in everyday language, such as making a document friendlier for new customers, and Claude carries out the check and returns the results.
Permissions and approvals keep people in charge. Claude works with the access you set, typically limited to evaluation and suggestions. Consequential actions, such as publishing content or overwriting a final version, can require a named person to approve them first. Audit logs record what was checked and changed.
What you can automate
Brand voice checks before publishing
A marketing lead pastes a campaign draft into Claude. Claude asks Markup AI to evaluate it against the brand voice guidelines and returns a short list of sentences that sound off-brand, with suggested alternatives. The writer reviews and accepts the changes they agree with before the draft moves to approval.
Terminology consistency across product content
A product team preparing release notes asks Claude to check whether feature names, product terms and legal wording match the approved glossary. Claude flags inconsistent terms across several documents at once, so the team fixes naming before customers see it.
Persona fit for customer communications
A customer success manager drafts a renewal email for a senior executive audience. Claude checks the draft against the intended persona in Markup AI and suggests changes to reading level, tone and level of detail, helping the message land with the right reader.
Style rule enforcement for documentation
A technical writing team uses Claude to review help articles against house style rules for headings, capitalisation and plain English. Claude reports deviations in batches, which saves editors hours of manual proofreading each week.
Localisation-ready copy review
A content operations manager asks Claude to evaluate source-language copy for clarity and consistent terminology before it goes to translation. Fewer ambiguous phrases means fewer translation queries and faster turnaround.
An end-to-end workflow: Campaign copy approval with brand checks
TriggerA new campaign brief and first draft are saved to the shared content folder in Microsoft 365.
Claude retrieves the draft from the folder and identifies the target persona and channel.
Claude sends the draft to Markup AI to evaluate voice, terminology and style.
Claude summarises the flagged issues and proposes revised wording for each one.
The content lead reviews the suggestions and approves the changes they accept.
Claude logs the final version and the approval in the audit record and updates the ticket in the team's ticketing system.
OutcomeCampaign copy reaches legal and final review already on-brand, with fewer revision rounds and a clear record of what was changed and who approved it. Results vary by team and content type.
How we set it up
Free automation audit
We review how your teams create, review and publish content, and identify the workflows where brand checks would save the most time.
Connect Markup AI with an API key
We set up the connection to Markup AI using the API key your organisation provides, with least-privilege access so Claude can evaluate content without unnecessary permissions. Where you prefer the direct API, we connect that way instead.
Design the end-to-end workflow
We map the path from draft to approval across Markup AI and your other systems, such as Microsoft 365, your CRM or ticketing tool, and agree which actions need human sign-off.
Test against real past content
We run the workflow on past drafts and approved documents to check that Claude's suggestions match your brand guidelines and that flagged issues are accurate.
Launch, monitor and train
We go live with monitoring and audit logs in place, then train writers, editors and approvers so they know how to use Claude with Markup AI confidently.
Who benefits
- Marketing and communications leaders
- Brand voice is checked consistently across campaigns, without relying on one reviewer's memory of the guidelines.
- Content editors and writers
- Routine style and terminology fixes are handled quickly, leaving time for the creative and strategic work.
- Product and documentation managers
- Terms and style stay consistent across release notes and help content, reducing customer confusion.
- Operations and IT heads
- A governed connection with API key access, audit logs and approvals keeps content tools under clear control.
Security and control
- Access uses an API key with least-privilege permissions, limited to what each workflow needs.
- Claude suggests changes, and named people approve anything that is published or overwrites a final version.
- Audit logs record each evaluation, suggestion and approval for review.
- Keys can be rotated or revoked at any time, and we agree who holds them within your organisation.
- Content is checked against your own guidelines, and we test the results before launch.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can have content workflows set up to match their internal review and records policies. For organisations in India, we configure data handling in line with the Digital Personal Data Protection Act, 2023. For the UAE and Saudi Arabia, we align the setup with local data protection requirements. Hosting for any custom application we build can be chosen in India, the United States, the United Kingdom or the European Union, based on your requirements.
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 Markup AI MCP server do?
It lets Claude connect to Markup AI in a standard, secure way. Once connected, Claude can ask Markup AI to evaluate content for brand voice, terminology, persona fit and style rules, and return results that people can review and act on. The direct API offers a similar route for teams that prefer it.
Is connecting Markup AI to Claude secure?
The connection uses an API key, which we store and manage according to your security policy. Access is limited to the permissions each workflow needs, actions are logged, and people approve consequential changes. We also agree how keys are rotated and who can revoke them.
What can Claude do with Markup AI once connected?
Typically Claude can send drafts for evaluation, request checks against brand terminology and personas, receive suggested improvements to style, and summarise the results in plain language. It can then help draft revised copy for a person to review.
How long does setup take?
It depends on how many systems and content types are involved. A simple connection can often be ready within a few days after the audit, while a full workflow with approvals, testing and team training usually takes longer. We confirm the timeline during the free audit.
Which plan or permissions do I need?
You need an active Markup AI account and an API key with permissions that cover the evaluation features you plan to use. The exact arrangement depends on your Markup AI agreement, so we check this with you during the audit before any connection is made.