AI & Machine Learning · Notra + Claude
Notra MCP with Claude: Run AI Content and Feedback Workflows in Plain Language
The short answer
Claude works with Notra through the Model Context Protocol (MCP), an open standard that lets Claude securely use other software. Once connected with an API key, Claude can read and act within Notra using natural language, such as creating content, managing AI agents, running feedback workflows and organising generative engine optimisation data, with permissions the organisation controls.
What is Notra?
Notra is a platform for creating content, AI agents, feedback workflows and generative engine optimisation (GEO) data. It brings these workflows together so teams can manage and improve AI-driven content operations in one place. Marketing, content, and digital teams typically use it to plan, produce and refine material that is written for both people and AI search tools. Operations leaders use it to keep AI-driven publishing consistent and measurable.
How Claude connects to Notra through MCP
The Model Context Protocol, or MCP, 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 the organisation sets. Notra supports connection through its MCP server or a direct API, and sign-in uses an API key.
Once connected, Claude can typically work with Notra through everyday language. A team member might ask for a draft of new content, a review of how AI agents are performing, a summary of feedback collected through workflows, or an update to how GEO data is organised. Claude carries out these requests within the access it has been given, so the work stays inside the boundaries the organisation has agreed.
Permissions and approvals keep people in charge. Access is limited to what each workflow needs, following a least-privilege approach. Consequential actions, such as publishing content or changing an AI agent's behaviour, can be set to require a person's approval first. Every action can be logged so the team can review what was done, when and why.
What you can automate
Drafting and refreshing content
A content lead asks Claude to draft a set of articles on a product topic, using brief notes and existing brand guidance. Claude produces drafts within Notra's content tools, and the editor reviews and approves each piece before it goes live. This shortens production time while keeping a human editorial standard.
Managing AI agents day to day
An operations manager asks Claude to list the AI agents in use, check which ones need updating, and summarise recent activity. Claude gathers the information and can prepare changes for review. The team keeps control of which agents go live and when, so the chatbot experience stays accurate and on brand.
Running feedback workflows
A customer experience team uses Claude to set up a feedback workflow that asks users for their views after an interaction. Claude can then group responses into themes, such as recurring questions or confusing wording, and report them in plain language. Teams use these insights to decide what to fix first.
Organising GEO data
A search and digital marketing lead wants to understand how content performs in generative search results. Claude can help organise GEO data into clear groupings, highlight gaps and suggest which pages need stronger, more direct answers. The marketing team then decides which changes to make and tracks the results over time.
Preparing reports for leadership
A head of department asks Claude each month for a short summary covering content output, agent performance and feedback trends. Claude compiles the figures and writes a readable overview. Leaders get a consistent report without someone spending hours copying data between screens.
An end-to-end workflow: Feedback-led content refresh
TriggerEach week, the feedback workflow in Notra collects new user comments about a product area.
Claude reads the new feedback in Notra and groups comments into themes, such as unclear instructions or missing information.
Claude checks related content and GEO data to identify which pages are most affected.
Claude drafts suggested updates to those pages, written to give clear, direct answers.
The content editor reviews the drafts in Notra and approves, edits or rejects each change.
Approved updates are published, and Claude records the changes in the audit log.
The team tracks GEO performance in the following weeks to see whether the refreshed pages improve.
OutcomeContent stays closer to what users actually ask, and the team spends less time finding issues by hand. Typical results vary, but teams often report faster content updates and clearer priorities.
How we set it up
Free automation audit
We review how your team creates content, manages AI agents, collects feedback and handles GEO data. We identify the workflows where Claude and Notra will save the most time.
Secure connection
We connect Claude to Notra using the MCP server or direct API, with access secured by an API key. Permissions are limited to what each workflow requires.
Workflow design
We design the end-to-end process, including where people approve consequential actions, and link Notra to any other systems you use, such as Microsoft 365 or your CRM.
Testing against real cases
We test the workflows using past content, agent conversations and feedback from your own records, and adjust until the results meet your standards.
Launch and training
We launch with monitoring and audit logs turned on, then train your team to use Claude with Notra confidently and to review its work.
Who benefits
- Head of content or marketing
- Produces and refreshes content faster while keeping editorial control and brand consistency.
- Operations or AI programme manager
- Oversees AI agents and workflows from one place, with clear logs of what changed and who approved it.
- Customer experience lead
- Turns user feedback into clear themes and priorities without manual sorting.
- IT or security lead
- Gets a connection built on API key access, least-privilege permissions and audit trails.
Security and control
- API keys are stored securely and access is limited to the permissions each workflow needs.
- People approve consequential actions, such as publishing content or changing an AI agent.
- Every action is logged so the team can review activity and trace decisions.
- Test environments are used before changes reach live content or customers.
- Access can be reviewed and revoked whenever roles or staffing change.
For teams in the US, UK, India and the Middle East
Organisations in the United States and the United Kingdom can use Notra with Claude under their own data protection and information security policies. In India, the Digital Personal Data Protection Act, 2023 shapes how personal data in feedback and content workflows is handled. Organisations in the UAE and Saudi Arabia must follow local data protection laws, and we choose a hosting region for any custom application to help meet those 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 Notra MCP server do?
The Notra MCP server lets Claude connect to Notra through the Model Context Protocol. It allows AI assistants to create content, manage AI agents, run feedback workflows and organise GEO data using natural language, within the permissions set for the connection. A direct API is also available for teams that prefer it.
Is connecting Notra to Claude secure?
The connection uses an API key for sign-in and is designed around least-privilege access, so Claude only reaches what each workflow needs. Consequential actions can require human approval, and activity can be logged for review. We also test the setup before launch and help you review access regularly.
What can Claude do with Notra once connected?
Typically, Claude can draft and organise content, review and update AI agents, summarise feedback from workflows, and structure GEO data into clear reports. It works through plain-language requests. The exact actions available depend on the access granted and the workflows we design together.
How long does the setup take?
Timelines depend on how many workflows you want to automate and how many other systems need connecting. Many teams start with one focused workflow, which can typically be designed, tested and launched within a few weeks after the free audit. We agree the timeline with you once the audit is complete.
What access or plan do I need to connect Notra to Claude?
In general, you need an active Notra account and an API key with permissions suited to the workflows you want. The right level of access is decided during the audit, so that Claude has what it needs and nothing more. We can confirm the specific requirements for your account during the audit.