Padlet MCP connector
The Padlet connector lets Claude, ChatGPT, Cursor and the Elaichi Agent create padlets, read and edit posts and comments, and manage sharing, with each person signed in as themselves and every change written to an audit log.
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How it connects. Connects over OAuth. The credential goes into a vault nobody reads back.
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One address. https://api.elaichi.ai/mcp, the same for every user.
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Their own access. An agent never gets more than the person it acts for.
How to connect
How to connect Padlet to Claude, ChatGPT or Cursor
Two steps, about a minute.
In Elaichi
Connect Padlet once
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Open Connections, choose Add connection, and pick Padlet.
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Optionally set Share with to give a team access, then press Connect.
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Approve it in Padlet. Padlet's own window opens. Whoever approves it decides what this connection can reach.
The credential is vaulted. Nobody reads it back, not even the AI.
Add connection
Choose a connector.
In your AI client
Point it at one endpoint
Everyone in the organization uses the same address, and each person only ever reaches what their own account allows.
Padlet MCP connector for Claude
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1
Open Customize, then Connectors.
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2
Press Add.
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3
Name it, paste the MCP server URL, then Continue.
https://api.elaichi.ai/mcp -
4
Sign in and approve.
On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.
Padlet MCP connector for ChatGPT
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1
Open Plugins, then press the + button.
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2
Name it and paste the endpoint into Server URL.
https://api.elaichi.ai/mcp -
3
Leave Authentication on OAuth, then tick the risk acknowledgement.
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4
Press Create, then sign in and approve.
Works on the web today. The plugin directory lives at chatgpt.com/plugins.
Padlet MCP connector for Cursor
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1
Open
~/.cursor/mcp.json. -
2
Add the endpoint under
mcpServers.https://api.elaichi.ai/mcp -
3
Reload Cursor, then sign in and approve.
~/.cursor/mcp.json
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
Set up per machine, so repeat it on each computer you work from.
Connect Padlet to any MCP client
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1
Add the endpoint as a remote MCP server.
https://api.elaichi.ai/mcp -
2
Sign in and approve.
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
The Elaichi Agent already has these tools, with nothing to set up.
Use cases
What teams do with Padlet through Elaichi
Every one of these runs inside the access the person already has, and lands in the same audit log.
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Teaching
Summarize what students posted this week
Ask for a rundown of new posts on a class padlet since Monday and which ones still have no comment from you. Reply to the quiet corners of the board without scrolling through all of it.
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Training
Build a course board in one ask
Describe a new cohort and get a padlet with the sections, welcome post and sharing settings your training program always uses, ready before the first session.
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HR
Keep the onboarding board current
Move stale posts, update the start-date checklist and invite new hires to the onboarding padlet from one request, so nobody arrives to last quarter's instructions.
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Marketing
Turn an idea board into a shortlist
Pull every post from a campaign brainstorm padlet, group them by theme and get a shortlist with the comments that backed each idea.
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Events
Catch the agenda up after a change
When a speaker drops or a room moves, edit the agenda posts on the event padlet and add a comment so attendees see the change where they already look.
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IT
Review who can see which padlets
List the padlets shared outside the organization, tighten sharing settings and run routine admin tasks on the Padlet account without clicking through each board.
Try asking
- “Summarize the new posts on the Q3 planning padlet since Monday.”
- “Create a padlet for next week's onboarding cohort with four sections.”
- “Which comments on the feedback board still have no reply?”
Compare
Elaichi vs Zapier MCP vs Composio for Padlet
All three can connect Padlet to an AI assistant, and all three have admin controls. They differ in where access lives and how you pay.
| What to check | Elaichi | Zapier MCP | Composio |
|---|---|---|---|
| Where the AI connects |
One address for the whole organization.
https://api.elaichi.ai/mcp
|
A server per member, created at sign-in. | An MCP endpoint per team, or an SDK. |
| Control over Padlet tools | Allow or restrict single Padlet tools, per role or user. | App and action restrictions on the account. | Role permissions, down to the action. |
| Record of calls | One audit entry per Padlet call. | A History tab of tool calls. | A log of every tool call. |
| Single sign-on | SAML or OIDC, plus SCIM, on Gold. | SAML on Enterprise. | SAML and OIDC on Enterprise. |
| Price | $15 per user per month. | 2 tasks per successful call. | Billed per tool call. |
Sources: Zapier MCP docs, security, usage; Composio docs, gateway, enterprise, pricing. Checked September 2026.
Longer take: Zapier MCP alternative and when you don't need an MCP gateway.
See it in Elaichi
What connecting Padlet gets you
5 screens from the product, each doing one job for your Padlet account.
The agent
Ask in plain words, get live posts back.
Three starter prompts read your Padlet boards, posts and comments as they stand right now.
- padlets
- posts
- comments
- members
Ask Elaichi to work across your apps.
Summarize the new posts on the Q3 planning padlet since Monday.
Create a padlet for next week's onboarding cohort with four sections.
Which comments on the feedback board still have no reply?
Also runs in Claude, ChatGPT or Cursor
MCP clients
One endpoint brings Padlet to every client.
Claude, ChatGPT and Cursor reach Padlet through one governed endpoint, no SDK, no shared API key.
ElaichiMCP clientsClaude
ChatGPT
Cursor
Copy the endpoint
Toolboxes
Each team gets its own Padlet toolbox.
Faculty, training, HR and marketing each work from a toolbox scoped to their padlets.
- Teaching
- Training
- HR
- Marketing
ElaichiToolboxesShared connections
Teammates use Padlet without ever seeing a credential.
One person connects Padlet, shares it with teams, and the table shows exactly who has access.
- Faculty
- Training
- People Ops
- Marketing
ElaichiConnectionsAudit log
Every Padlet change names who made it.
When, who, what happened and which padlet or post, in a log nobody can edit.
- When
- Who
- What happened
- Type
ElaichiAudit logLaunching soon
From answering questions to doing the work
A person no longer has to ask. A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations and live dashboards are launching soon, on the Black plan.
Automations
A schedule turns new posts into a digest.
New Padlet posts are fetched, grouped and drafted into a digest a person approves before posting.
Padlet digest
Run 418 · started 2 minutes ago · on behalf of Emily Carter
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✓
Schedule
Every weekday at 8:00 AM
0.2s -
✓
Fetch padlets
Padlet
1.4s -
✓
Group by owner
Transform
0.1s -
✓
Draft the digest
Agent step
Ran with 4 tools, returned a structured summary
6.2s -
Approve the digest
Needs approval
Assigned to Michael Brennan
Approve Deny -
Post the digest
Padlet
Queued
Collections and dashboards
Padlet health numbers arrive before anyone asks.
Posts created over 14 days and a team breakdown, refreshed on a schedule with no model.
Padlet health
Refreshed 4 minutes ago · every 15 minutes · from the padlets collection
Padlets
1,284 ↓ 12%
Posts
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Padlets created
Last 14 days
By team
Share of activity
Faculty 34%
Training 27%
People Ops 21%
Marketing 18%
FAQ
Frequently asked questions
How do I connect Padlet to Claude?
In Elaichi, choose Padlet and connect it; Padlet's own sign-in screen opens, you approve access, and you are done. There is no OAuth application to register and no client ID or secret to generate. Then in Claude go to Customize, then Connectors, then Add, and paste https://api.elaichi.ai/mcp as the endpoint.
Does Padlet work with ChatGPT and Cursor as well as Claude?
Yes. Once Padlet is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, any other MCP client and the Elaichi Agent. You connect Padlet once and every client you use picks it up.
What can an AI agent actually do with my Padlet data?
With Padlet connected, an agent can create padlets, read and edit posts and comments, change sharing and settings, and run admin tasks on your account. In practice that means asking for a summary of this week's posts, setting up a board for a new cohort, or tightening who can see a padlet. Short, concrete asks such as "list unanswered comments on the feedback board" work better than long paragraphs.
Does connecting Padlet give the AI everything in my workspace?
No. Access to Padlet follows the person who signed in, so the agent sees only the padlets, posts and comments that person can already open. Elaichi can narrow that further with roles and restrictions, and it never widens it beyond what Padlet itself allows.
Can I stop an agent from deleting or changing things in Padlet?
Yes. Restrictions in Elaichi apply per action, so you can allow reading posts on Padlet while blocking edits, deletions or changes to sharing. A restricted action is never advertised to Claude, ChatGPT or Cursor at all, so no prompt can reach it.
What happens to a Padlet connection when someone leaves?
Offboarding a person in Elaichi ends their access to Padlet through every client at once. If they had shared a Padlet connection with a team, it keeps working for everyone else. Disconnecting Padlet once in Elaichi removes it from Claude, ChatGPT, Cursor and every other client together.
Does the Padlet MCP connector work with Gemini, Codex, Claude Code or other MCP clients?
Yes. Padlet is reached over the same MCP endpoint every client uses, so anything that speaks MCP can call it — Gemini, Codex, Claude Code, Windsurf, Cline, Zed and OpenCode among them — alongside Claude, ChatGPT, Cursor, and the Elaichi Agent. The tools on offer and the access behind them are identical whichever client asks. Only the setup screen differs.
Is Elaichi an alternative to Zapier MCP for Padlet?
Yes. Both let Claude, ChatGPT or Cursor use Padlet. Zapier MCP fits a team that already automates in Zapier, since each person signs in and acts as themselves in that account. Elaichi fits when IT wants one address for the whole company, per-tool rules by role, and a record of every Padlet call.
How is Elaichi different from Composio for Padlet?
Composio gives AI agents tools and sign-in handling across 1,000+ apps, for developers building agents or people using an assistant, billed per tool call. Elaichi gives a company's own people governed access to Padlet: one address, restrictions per role or user, and $15 per user per month. Both have role permissions and a log of every call.
Put Padlet in front of your team
14 days on Gold, no credit card. Connect it once and pick what each team can call.
- Works with
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and any other MCP client, or the Elaichi Agent.
- When the trial ends
- Nothing is deleted. Connections, roles and the audit log stay where they are, so subscribing picks up exactly where you left off.