IPAAS
Gumloop MCP connector
Connecting Gumloop to Elaichi lets Claude, ChatGPT, Cursor, any MCP client, and the Elaichi Agent look up your Gumloop flows, agents, automation runs, files, and audit logs through one governed endpoint, with every action tied to the person who asked for it.
-
How it connects. Connects with an API key. The credential goes into a vault nobody reads back.
-
One address. https://api.elaichi.ai/mcp, the same for every user.
-
Their own access. An agent never gets more than the person it acts for.
38 tools
How to connect
How to connect Gumloop to Claude, ChatGPT or Cursor
Two steps, about a minute.
In Elaichi
Connect Gumloop once
-
Open Connections, choose Add connection, and pick Gumloop.
-
Optionally set Share with to give a team access, then press Connect.
-
Paste a Gumloop API key. One person generates a token in Gumloop and pastes it once. Everyone else works through Share with, and never sees it.
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.
Connect Gumloop to Claude
-
1
Open Customize, then Connectors.
-
2
Press Add.
-
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.
Connect Gumloop to ChatGPT
-
1
Open Plugins, then press the + button.
-
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.
-
4
Press Create, then sign in and approve.
Works on the web today. The plugin directory lives at chatgpt.com/plugins.
Connect Gumloop to Cursor
-
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 Gumloop to any MCP client
-
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 Gumloop through Elaichi
Every one of these runs inside the access the person already has, and lands in the same audit log.
-
Operations
Check overnight automation runs before standup
Ask which Gumloop automations ran last night, which finished cleanly, and which need a second look, then open the details of any single run without leaving the chat.
-
Marketing
Find the flow that already does this
Before anyone rebuilds a lead enrichment or content flow, list the Gumloop flows and workbooks the team already has and see what each one is for.
-
Revenue operations
Load a batch of files into Gumloop
Drop a stack of call transcripts or spreadsheets into Gumloop in one go so the next flow has everything it needs, then confirm each file landed.
-
Data
Request an export and collect it later
Kick off a Gumloop data export, then come back and fetch the finished export by its ID when the run has produced it.
-
Product
Adjust a Gumloop agent's instructions after review
List the Gumloop agents your team runs, read how one is set up, and update its instructions or model choice from a plain description of the change.
-
IT and admin
Review who changed what in Gumloop
Pull the Gumloop audit log for a date range, see which member did what, and move a person to a different permission group when a role changes.
Try asking
- “List the Gumloop agents created this month.”
- “Which Gumloop flows ran the most last week?”
- “Show artifacts produced by our onboarding Gumloop agent.”
AI tools
Gumloop tools for your AI agents
38 tools are ready to call through Elaichi's MCP endpoint the moment you connect Gumloop, governed by the same roles, restrictions, and audit log as everything else in Elaichi.
No tools match your search.
See it in Elaichi
What connecting Gumloop gets you
6 screens from the product, each doing one job for your Gumloop account.
The agent
Ask about Gumloop agents, get real answers.
Plain language questions read live Gumloop flows, agents and artifacts as they stand now.
- agents
- flows
- artifacts
- files
Ask Elaichi to work across your apps.
List the Gumloop agents created this month.
Which Gumloop flows ran the most last week?
Show artifacts produced by our onboarding Gumloop agent.
Also runs in Claude, ChatGPT or Cursor
MCP clients
Claude, ChatGPT and Cursor reach Gumloop here.
One org MCP endpoint over OAuth, no SDK work and no shared API key.
ElaichiMCP clientsClaude
ChatGPT
Cursor
Copy the endpoint
Tool catalog
38 Gumloop tools arrive ready to call.
Agents, flows, workbooks, files and artifacts are covered with no custom code written.
- Create a Gumloop agent
- List all Gumloop agents
- Get single Gumloop agent by ID
- Update a Gumloop agent by ID
ElaichiToolsToolboxes
Every team gets its own Gumloop toolbox.
Curate one toolbox per team so Gumloop tools match the work that team does.
- Operations
- Engineering
- Marketing
- Sales
ElaichiToolboxesShared connections
Teammates run Gumloop flows without a credential.
Each Gumloop connection shows who connected it and which teams and members use it.
- Operations
- Marketing
- Sales EMEA
- Support
ElaichiConnectionsAudit log
Every Gumloop call is written down.
When, who, what happened, type and resource for each agent, flow and file touched.
- 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 fires and Gumloop work finishes.
Six steps fetch Gumloop flow runs, group them, draft a digest, await approval, post back.
Gumloop digest
Run 418 · started 2 minutes ago · on behalf of Emma Laurent
-
✓
Schedule
Every weekday at 08:00
0.2s -
✓
Fetch agents
Gumloop
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
Gumloop
Queued
Collections and dashboards
Gumloop health is counted, not requested.
Four metrics, 14 days of records created and a team breakdown, refreshed on schedule.
Gumloop health
Refreshed 4 minutes ago · every 15 minutes · from the agents collection
Agents
1,284 ↓ 12%
Flows
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Agents created
Last 14 days
By team
Share of activity
Operations 34%
Marketing 27%
Sales EMEA 21%
Support 18%
Related connectors
More from the catalog
FAQ
Frequently asked questions
How do I connect Gumloop to Claude?
First connect Gumloop in Elaichi by pasting a Gumloop API key when prompted, which takes a minute. Then in Claude go to Customize, then Connectors, then Add, and paste the endpoint https://api.elaichi.ai/mcp. There is no OAuth application to register in Gumloop and no client ID or secret to generate, so the whole setup is two steps.
Does Gumloop work with ChatGPT and Cursor as well as Claude?
Yes. Once Gumloop is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, any MCP client, and the Elaichi Agent. You connect Gumloop once and every client picks it up.
What can an AI agent actually do with my Gumloop data?
It can list your Gumloop flows, workbooks, agents, and models, check recent automation runs and open the details of one, fetch the files and artifacts a run produced, request a data export, read the audit log, and create or update Gumloop agents. Because Gumloop exposes a lot of actions, the agent searches for the right one as you ask, so short concrete requests like "show failed runs from yesterday" work better than long paragraphs.
Does connecting Gumloop give the AI everything in my workspace?
No. Access follows the person who signed in to Elaichi, so an AI client sees only the Gumloop flows, runs, files, and audit entries that person's Gumloop access already allows. Elaichi can narrow that further per team or per action, and it never widens what someone could already do in Gumloop.
Can I stop an agent from changing things in Gumloop?
Yes. Restrictions in Elaichi work per action, so you can allow reading Gumloop runs, flows, and files while blocking actions that create or update agents, upload files, or change permission groups. A blocked action is never advertised to Claude, ChatGPT, Cursor, or any other client, so no prompt can reach it.
What happens to a Gumloop connection when someone leaves?
Offboarding that person in Elaichi ends their access to Gumloop through every AI client at once. If they had shared a Gumloop connection with a team, it keeps working for everyone else. If you want the connection gone entirely, disconnecting Gumloop once in Elaichi removes it from Claude, ChatGPT, Cursor, and every other client at the same time.
Put Gumloop in front of your team
Fourteen days on Gold, no credit card. Connect it once and pick what each team can call.