Read
Course data
Bring course information into your AI conversation for planning and follow-up.
Model Context Protocol · MCP
Connect Claude to your
training operation.
Read course data, create courses, update participants and send messages. CompetenceFlow’s MCP connection puts training management inside the AI workflows your team already uses.
Claude + CompetenceFlow
Your AI conversation
“Help me prepare next week’s courses.”
MCP
CompetenceFlowTraining recordsCourse context for your AI workflow
01Read course dataBring in the context
02Update participantsKeep records current
03Prepare messagesReview before sending
Review the details. Then take action.
The backbone for your AI workflows
A conversation that can
move the work forward.
Your team can use Claude or another compatible AI tool to work with CompetenceFlow. The connection brings the data and actions behind the course into that workflow.
Claude or your AI toolWhere you ask, plan and review
↔MCP
CompetenceFlowCourse records and training actions
Available through MCP
Four ways to work with CompetenceFlow.
Create
Courses
Use your AI tool to create course records in CompetenceFlow.
Update
Participants
Make participant changes through the connection, without re-entering them in another tool.
Send
Messages
Prepare communication in your AI workflow and send it through CompetenceFlow.
Put it to work
Start with a job
your team does every week.
These examples show how the available MCP actions can fit into a working day. Bring your own course process to the demo and we’ll walk through it.
Set up the next course.
Read existing course information, work through the new dates and details in your AI tool, then create the course in CompetenceFlow.
Example request: “Help me prepare the next run of our first-aid course.”
Deal with the changed attendee list.
Use the course context to review the required changes, then update participant records through MCP.
Example request: “Help me update the participants for this company booking.”
Prepare and send the instructions.
Use the course details to prepare a message. Check its recipients and wording, then send it through CompetenceFlow.
Example request: “Prepare joining instructions for next week’s course for me to review.”
Getting connected
Bring the tool.
We’ll bring the course workflow.
Tell us which AI application you use and what you want it to do. We’ll show the connection and available actions, then help you set up a first workflow.
Setup guidance is available from our team. Public documentation is not yet available.
For background, read the MCP introduction or Claude’s connector guide.
Questions about MCP and AI workflows
What is MCP?
MCP stands for Model Context Protocol. It is a standard that lets AI applications connect to external data and tools. CompetenceFlow uses it to make training data and actions available to compatible AI assistants.
Can I use CompetenceFlow with Claude?
Yes. CompetenceFlow supports MCP for use with Claude and other compatible AI tools. Available actions include reading course data, creating courses, updating participants and sending messages.
Is this a separate training database?
No. MCP is a way for your AI tools to work with CompetenceFlow. Course and participant records remain part of the same training operation your team manages in the application.
Where can we find setup instructions?
Contact our team for setup guidance. There is no public setup guide yet. We’ll walk through the connection, available actions and a workflow relevant to your business.
Can we use other AI tools besides Claude?
The connection uses MCP, an open protocol. Other tools that support a compatible MCP connection can use it. We’ll check your chosen tool and setup with you.
Show us what you want Claude to handle.
We’ll demonstrate how CompetenceFlow’s course data and actions can support that workflow.