Available
MCP Server
Your program, in your AI tools.
Your AI tools can’t see what happens in your lessons, so questions about students and schedules mean digging through screens. Our MCP server lets ChatGPT, Claude or your own AI tools see Spaces, events, people and lesson summaries, with the access each person already has.
“Which students haven’t had a lesson this month?” takes an hour of clicking. Ask ChatGPT or Claude, connected through our MCP server, and get the answer with the access you already have.
Your team uses AI every day, but it can’t see your classes. Connect it through MCP to query Spaces, events, people and lesson summaries.
Your L&D team’s AI tools can’t see training data. Connect them through MCP and ask about trainings, people and summaries directly.
If your school uses AI tools, connect them through MCP so teachers can ask about their own classes and lesson summaries, within their access.
Connect your AI tools through MCP to query workshop Spaces, events and summaries, without exporting data.
Parents won’t need this. It lets programs ask their AI tools about lessons, while keeping each person’s access rules in place.
どの有料プランでも2週間無料でお試しいただけます。クレジットカードは不要です。
What it solves
- Reports stitched together from many systems
Helps you
Save time
Part of
AI
The problem
Your AI can’t see your lessons
Teams use AI assistants daily, but those assistants can’t see lessons, schedules or summaries. Answers mean exporting data and stitching reports together.
一般的な方法
Staff export data, paste it into AI tools and rebuild context every time they ask a question.
How Pencil Spaces solves it
The Model Context Protocol server stays connected at every step, from enrollment through every milestone. ChatGPT, Claude or your own AI tools can query anything in Pencil Spaces the person is allowed to reach: Spaces, events, users and lesson summaries.
変更点
Your AI tools answer questions about lessons with the access each person already has.
What it looks like
実際には
An admin asks Claude, connected through the MCP server, which students missed two lessons this month and what their last summaries said. It answers using only data she’s allowed to reach.
In a 1:1 lesson
You ask ChatGPT for every lesson summary for a student this term, and draft a progress note from them.
In a group class
A coordinator asks the connected AI which classes ran over time this week.
In a virtual training
Your L&D lead asks which cohorts completed this month’s training, and gets the list.
In your classroom
A teacher asks the connected AI to summarize her intervention group’s last five lessons.
In the training room
You ask your AI tool which workshops are booked next month and who’s facilitating.
At home
Your child’s program uses connected AI to prepare your progress update faster.
