Database
Sequin Stream MCP connector
Connect Sequin Stream to Claude, ChatGPT, Cursor, or any MCP client and manage your Postgres databases, sink consumers, HTTP endpoints, and backfills in plain language, with every action running as the signed-in person and logged.
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How it connects. Connects with an API key. 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 Sequin Stream to Claude, ChatGPT or Cursor
Two steps, about a minute.
In Elaichi
Connect Sequin Stream once
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Open Connections, choose Add connection, and pick Sequin Stream.
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Optionally set Share with to give a team access, then press Connect.
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Paste a Sequin Stream API key. One person generates a token in Sequin Stream 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 Sequin Stream to 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.
Connect Sequin Stream to 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.
Connect Sequin Stream to 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 Sequin Stream 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 Sequin Stream 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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Data engineering
Check every sink before a release
Ask which sink consumers are running in Sequin Stream, which are paused, and where each one is delivering, so you know the pipeline is healthy before you ship.
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Platform
Start a backfill after a schema change
Once a table has been altered, ask the agent to create a backfill for it in Sequin Stream and keep an eye on it until the consumer has caught up.
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Analytics
Find out why the warehouse is behind
When numbers look stale, ask which backfills are still in progress and which sink consumers feed that table, and get a plain answer instead of opening three dashboards.
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Operations
Test a database connection before anyone pages
Run a connection test against a Postgres database in Sequin Stream and refresh its table list, so a dropped credential is caught during the day and not at two in the morning.
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Product engineering
Point a sink at a new webhook
Create or update an HTTP endpoint in Sequin Stream, then change the sink consumer to deliver there, all from the same conversation where you are writing the receiving code.
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IT
Review every connected Postgres database
List the Postgres databases, HTTP endpoints, and pull consumers registered in Sequin Stream, spot the ones nobody remembers setting up, and remove them.
Try asking
- “List all Sequin Stream backfills started this week.”
- “Which Postgres databases feed our production HTTP endpoints?”
- “Create a backfill for the orders table in Sequin Stream.”
AI tools
Sequin Stream tools for your AI agents
27 tools are ready to call through Elaichi's MCP endpoint the moment you connect Sequin Stream, 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 Sequin Stream gets you
6 screens from the product, each doing one job for your Sequin Stream account.
The agent
Ask about backfills and get real answers.
Plain language questions run against live Sequin Stream backfills, endpoints and databases.
- backfills
- http endpoints
- postgres databases
- sinks
Ask Elaichi to work across your apps.
List all Sequin Stream backfills started this week.
Which Postgres databases feed our production HTTP endpoints?
Create a backfill for the orders table in Sequin Stream.
Also runs in Claude, ChatGPT or Cursor
MCP clients
One endpoint serves Claude, ChatGPT and Cursor.
Connect Sequin Stream over OAuth from any MCP client, no SDK, no shared key.
Copy the endpoint
Tool catalog
27 Sequin Stream tools work on day one.
Backfills, HTTP endpoints and Postgres databases are covered without writing custom code.
- Create a Sequin Stream backfill
- Delete a Sequin Stream backfill by ID
- Get single Sequin Stream backfill by ID
- List all Sequin Stream backfills
Toolboxes
Every team gets its own toolbox.
Curate a Sequin Stream toolbox per team and hand it to the people who need it.
- Data Engineering
- Platform
- Integrations
- Analytics
Shared connections
Teammates use connections without seeing credentials.
See who connected each Sequin Stream account and how many teams and members share it.
- Production
- Staging
- Analytics Warehouse
- Platform EU
Audit log
Every Sequin Stream call is on the record.
Append-only log of when, who, what happened, type and resource touched.
- When
- Who
- What happened
- Type
Launching 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 the work finishes.
Fetch Sequin Stream backfills, group them, draft a digest, approve, post it back.
Sequin Stream digest
Run 418 · started 2 minutes ago · on behalf of Emma Laurent
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✓
Schedule
Every weekday at 08:00
0.2s -
✓
Fetch backfills
Sequin Stream
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
Sequin Stream
Queued
Collections and dashboards
Sequin Stream numbers arrive before you ask.
Four metrics, 14 days of records created and a team breakdown, refreshed on schedule.
Sequin Stream health
Refreshed 4 minutes ago · every 15 minutes · from the backfills collection
Backfills
1,284 ↓ 12%
Http endpoints
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Backfills created
Last 14 days
By team
Share of activity
Production 34%
Staging 27%
Analytics Warehouse 21%
Platform EU 18%
Related connectors
More from the catalog
FAQ
Frequently asked questions
How do I connect Sequin Stream to Claude?
In Elaichi, choose Sequin Stream, paste in the API key from your Sequin Stream account, and the connection is live. Then in Claude open Customize, then Connectors, then Add, and paste the Elaichi endpoint, https://api.elaichi.ai/mcp. There is no OAuth application to register for Sequin Stream and no client ID or secret to generate. The whole thing takes a few minutes.
Does Sequin Stream work with ChatGPT and Cursor as well as Claude?
Yes. Once Sequin Stream is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, is added to Claude, ChatGPT, Cursor, any other MCP client, and the Elaichi Agent. You connect Sequin Stream once and every client you use can reach it.
What can an AI agent actually do with my Sequin Stream data?
An agent can list the Postgres databases, sink consumers, HTTP endpoints, and backfills in your Sequin Stream account, look at any one of them in detail, and create, update, or remove them. It can also run a connection test against a database and refresh its table list. In practice that means asking whether a sink is paused, starting a backfill after a schema change, or pointing a consumer at a new HTTP endpoint, all in plain language.
Does connecting Sequin Stream give the AI access to every database and consumer?
The agent can only reach what the API key used to connect Sequin Stream can reach, and nothing beyond that. Elaichi can then narrow that further, for example allowing a team to view sink consumers and backfills without being able to create or delete them. Elaichi never widens what Sequin Stream itself allows, it only restricts it.
Can I stop an agent from deleting or changing things in Sequin Stream?
Yes. Restrictions in Elaichi apply per action, so you can allow listing and viewing Postgres databases, sink consumers, and backfills in Sequin Stream while blocking create, update, and delete. A blocked action is never shown to Claude, ChatGPT, Cursor, or any other client, so no prompt, however worded, can reach it.
What happens to a Sequin Stream connection when someone leaves?
When a person is offboarded in Elaichi, their access to Sequin Stream through Elaichi ends at once, in every client they had set up. A Sequin Stream connection that was shared with the team keeps working for everyone else. If you ever want to remove Sequin Stream entirely, disconnecting it once in Elaichi removes it from Claude, ChatGPT, Cursor, and every other client at the same time.
Put Sequin Stream in front of your team
Fourteen days on Gold, no credit card. Connect it once and pick what each team can call.