Shapes MCP connector
The Shapes connector brings your people data, headcount, attrition risk and compensation, to Claude, ChatGPT, Cursor and any MCP client, so each person can ask questions in plain language within their own Shapes permissions.
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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 Shapes to Claude, ChatGPT or Cursor
Two steps, about a minute.
In Elaichi
Connect Shapes once
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Open Connections, choose Add connection, and pick Shapes.
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Optionally set Share with to give a team access, then press Connect.
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Approve it in Shapes. Shapes'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.
Shapes 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.
Shapes 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.
Shapes 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 Shapes 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 Shapes 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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People
Answer a headcount question before the meeting
Ask how many people sit in each department in Shapes, how that changed this quarter, and where the open roles are. The answer comes from the live record, not from a spreadsheet exported last month.
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Finance
Check compensation gaps across a department
Ask Shapes where pay sits outside the band for a level or location and get the figures back before the budget review, limited to the compensation you are already allowed to see.
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Managers
Spot attrition risk on your team
Ask which people on your team Shapes flags as attrition risks and why, so the conversation happens before the resignation letter does.
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Leadership
Pull a headcount trend for the board deck
Ask for headcount by region over the last four quarters and have the numbers summarized in plain language, ready to paste into the deck.
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Recruiting
Find where the organization is thinly staffed
Ask Shapes which teams are under their planned headcount and which roles have stayed open longest, so hiring effort goes where it is needed.
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People analytics
Compare pay across levels and locations
Ask Shapes how compensation compares between two offices or two levels and get the comparison back in a sentence or a table, inside your Shapes permissions.
Try asking
- “What is our current headcount by department?”
- “Which teams show the highest attrition risk this quarter?”
- “Show compensation gaps between levels in Engineering.”
Compare
Elaichi vs Zapier MCP vs Composio for Shapes
All three can connect Shapes 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 Shapes tools | Allow or restrict single Shapes 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 Shapes 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 Shapes gets you
5 screens from the product, each doing one job for your Shapes account.
The agent
Ask about headcount and get a live answer.
Type a plain question and get figures from the employee records in Shapes.
- employees
- departments
- compensation records
- headcount reports
Ask Elaichi to work across your apps.
What is our current headcount by department?
Which teams show the highest attrition risk this quarter?
Show compensation gaps between levels in Engineering.
Also runs in Claude, ChatGPT or Cursor
MCP clients
One Shapes endpoint for every AI client.
Claude, ChatGPT and Cursor connect over OAuth, with no SDK and no shared API key.
ElaichiMCP clientsClaude
ChatGPT
Cursor
Copy the endpoint
Toolboxes
Each team gets its own Shapes toolbox.
People, Finance and managers each work from a toolbox scoped to their job.
- People
- Finance
- Leadership
- Managers
ElaichiToolboxesShared connections
Teammates use Shapes without touching a credential.
One person connects Shapes, shares it with a team, and the log still names each user.
- People team
- Finance
- Leadership
- EMEA
ElaichiConnectionsAudit log
Every Shapes question is logged with a name.
See when, who, what happened and which employee record was touched, in one place.
- 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 drafts the digest, a person approves.
Headcount records are fetched from Shapes, grouped, summarized and posted back after sign-off.
Shapes 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 employees
Shapes
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
Shapes
Queued
Collections and dashboards
Shapes headcount numbers, computed without a model.
Four metrics, a 14 day chart and a team breakdown, refreshed on a schedule.
Shapes health
Refreshed 4 minutes ago · every 15 minutes · from the employees collection
Employees
1,284 ↓ 12%
Departments
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Employees created
Last 14 days
By team
Share of activity
People team 34%
Finance 27%
Leadership 21%
EMEA 18%
Related connectors
More from the catalog
FAQ
Frequently asked questions
How do I connect Shapes to Claude?
First, connect Shapes in Elaichi: choose Shapes from the catalog, sign in to Shapes in the browser window that opens and approve access. There is no client ID or secret to generate. Then open Claude, go to Customize, then Connectors, then Add, and paste the endpoint https://api.elaichi.ai/mcp. Claude will ask you to sign in to Elaichi, and from then on your Shapes people data is available in the conversation.
Does Shapes work with ChatGPT and Cursor as well as Claude?
Yes. Once Shapes 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 Shapes once and every client picks it up.
What can an AI agent actually do with my Shapes data?
It can answer questions about the people data you already have in Shapes: headcount by department or region, who is flagged as an attrition risk, and where compensation falls outside a band. What it can reach depends on what your Shapes account has set up and on your own Shapes permissions. Short, concrete asks such as "headcount in Sales by country" work better than long paragraphs.
Does connecting Shapes give the AI access to everyone's records and pay?
No. Every call to Shapes runs as the person who signed in, so the AI sees only the employees, departments and compensation that person can already see in Shapes. Elaichi can narrow that further with roles and restrictions, and it can never widen it beyond what Shapes allows.
Can I stop an agent from deleting or changing things in Shapes?
Yes. Restrictions in Elaichi apply per action, so you can allow questions about Shapes people data while blocking anything that would change a record. A restricted action is never shown to Claude, ChatGPT or Cursor at all, so no prompt can reach it.
What happens to a Shapes connection when someone leaves?
Offboarding a person in Elaichi ends their access to Shapes through every client at once, with no separate steps in Claude, ChatGPT or Cursor. If they connected a shared Shapes account, that connection keeps working for everyone else on the team. Disconnecting Shapes once in Elaichi removes it from every client.
Does the Shapes MCP connector work with Gemini, Codex, Claude Code or other MCP clients?
Yes. Shapes 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 Shapes?
Yes. Both let Claude, ChatGPT or Cursor use Shapes. 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 Shapes call.
How is Elaichi different from Composio for Shapes?
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 Shapes: one address, restrictions per role or user, and $15 per user per month. Both have role permissions and a log of every call.
Put Shapes 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.