What platforms does Sequel support?

Sequel is available on Web App, MacOS, Windows, Linux and Browser extension.

What are the limitations of Sequel?

Pricing is not stated on the homepage, so cost has to be established before committing a team. Effectiveness depends on an MCP-capable client, which rules out assistants that do not speak the protocol. Definition setup is a manual step, and inconsistent internal metrics must be resolved before answers can be trusted.

Sequel

Name: Sequel
Author: Sequel

Give Claude and ChatGPT read-only access to your live marketing data

Intermediate API

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Screenshot of Sequel, Give Claude and ChatGPT read-only access to your live marketing data

What is Sequel?

Sequel is an analytics tool. Sequel connects marketing, revenue and warehouse sources to Claude, ChatGPT, Cursor and other MCP clients through one read-only connection. Shared metric definitions keep answers consistent across tools, and every result arrives with the query behind it so numbers can be verified.

Sequel is a connection layer that lets AI assistants query live business data instead of guessing from training data. It links sources such as Google Analytics, Google Ads, Search Console, Meta Ads, HubSpot, Stripe, Mixpanel, Amplitude, PostHog, Intercom, Google Sheets, BigQuery, Snowflake and Postgres to Claude, ChatGPT, Cursor, Codex, VS Code and any other app that speaks the Model Context Protocol. Setup runs over OAuth or an API key, and nothing needs to be self-hosted. The part that separates Sequel from a generic database connector is shared metric definitions. Teams tell Sequel once what a qualified lead, an active account or blended CAC means in their own terms, and every agent then applies that same definition. A question about channel CAC returns the same number across all connected clients, with the SQL query behind it attached so the figure can be checked rather than trusted. Sequel also retains schema memory and vocabulary across sessions, so answers improve as the workspace accumulates context. Safety is designed around read-only defaults. Connectors cannot write, pause campaigns, move budgets or edit records unless a team explicitly enables that capability. Each connection carries only the access granted to it, agents reach data through a gateway that keeps credentials hidden, and any enabled write must be shown as the exact call before it executes. Every query is logged, attributed and reviewable. Sequel suits marketing, revenue, finance and founder teams that already work inside an AI assistant and want answers that span several systems at once, which is the point where CSV exports and hand-built pipelines stop scaling. It competes less with BI dashboards than with ad hoc data plumbing: the query and dashboard layer lives inside the assistant already in use. Specific pricing tiers and trial terms are not published on the homepage.

How do you use Sequel?

1Connect your first data source
Pick a source such as GA4, Google Ads, HubSpot, Stripe, Search Console, BigQuery, Snowflake or Postgres, then authorize it with OAuth or an API key. Access is read-only by default and nothing needs to be self-hosted.
2Teach Sequel your metric definitions
Define what a qualified lead, active account or blended CAC means for your team. Sequel stores the definition and applies it consistently to every later question, in every client.
3Install the MCP connection in your assistant
Add Sequel to Claude, ChatGPT, Cursor, Codex or another MCP client. One connection serves all of them, and your metric definitions travel with it.
4Ask a cross-source question
Start with something concrete, such as blended CAC last month or top landing pages this week. Sequel works out the joins across your sources and returns the answer alongside the query it ran.
5Review queries and enable writes deliberately
Check the logged queries behind important numbers. If a workflow needs a write, enable it per tool and confirm that the agent shows the exact call before it runs.

Pros and cons

Pros

Read-only connectors by default, so an agent cannot pause campaigns or edit records without explicit permissionAI
Shared metric definitions mean one agreed CAC or qualified lead figure across every connected clientAI
Each answer includes the query that produced it, so results can be audited rather than assumedAI
Works across Claude, ChatGPT, Cursor, Codex, VS Code and any other MCP-compatible app from a single connectionAI
Joins data across warehouses, ad platforms and product tools without building pipelines or exporting CSVsAI

Cons

Pricing is not stated on the homepage, so cost has to be established before committing a teamAI
Effectiveness depends on an MCP-capable client, which rules out assistants that do not speak the protocolAI
Definition setup is a manual step, and inconsistent internal metrics must be resolved before answers can be trustedAI
No native mobile apps are mentioned, so practical use is tied to desktop and web clientsAI
The source connector list covers common marketing and warehouse tools but not niche or in-house systemsAI

How much does Sequel cost?

Free trial

The homepage invites users to connect a first source in about two minutes with no credit card, but it does not name a trial length or the limits that apply.

Learn more

Integrations

Runs over MCP for Claude, ChatGPT, Cursor, Codex, VS Code and other compatible clients. Sources include Google Analytics, Search Console, Google Ads, Meta Ads, HubSpot, Stripe, Mixpanel, Amplitude, PostHog, Google Sheets, Intercom, BigQuery, Snowflake and Postgres.

Learn more

Features

Read-only connectors to marketing, revenue, product and warehouse data; shared metric definitions applied across every agent; schema and vocabulary memory that persists between sessions; a visible query behind every answer; cross-system joins handled automatically; live dashboards and plain-English debugging; per-source scoping with logged, attributed and reviewable queries; write actions gated behind explicit confirmation.

Frequently asked questions about Sequel

Does Sequel offer a free trial?
The homepage invites users to connect a first source in about two minutes with no credit card, but it does not name a trial length or the limits that apply.
Does Sequel have an API?
Yes, Sequel offers an API.
How do you use Sequel?
The walkthrough on this page covers 5 steps: 1. Connect your first data source 2. Teach Sequel your metric definitions 3. Install the MCP connection in your assistant 4. Ask a cross-source question 5. Review queries and enable writes deliberately.
What platforms does Sequel support?
Sequel is available on Web App, MacOS, Windows, Linux and Browser extension.
What does Sequel integrate with?
Runs over MCP for Claude, ChatGPT, Cursor, Codex, VS Code and other compatible clients. Sources include Google Analytics, Search Console, Google Ads, Meta Ads, HubSpot, Stripe, Mixpanel, Amplitude, PostHog, Google Sheets, Intercom, BigQuery, Snowflake and Postgres.
What are the limitations of Sequel?
Pricing is not stated on the homepage, so cost has to be established before committing a team. Effectiveness depends on an MCP-capable client, which rules out assistants that do not speak the protocol. Definition setup is a manual step, and inconsistent internal metrics must be resolved before answers can be trusted.