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Sequel

Sequel connects marketing, revenue, and warehouse data sources to AI agents such as Claude and ChatGPT over MCP, so answers come from live numbers under shared metric definitions.

AI CodingAI toolsMarketing analyticsData integration

About Sequel

Sequel

Sequel is a platform that connects tools like GA4, Google Ads, HubSpot, Stripe, Search Console, BigQuery, Snowflake, and Postgres to AI assistants including Claude, ChatGPT, Cursor, and Codex via MCP. Connections are read-only by default, with access scoped per source. Users define metrics such as qualified lead, active account, or blended CAC once, and Sequel applies those definitions consistently. Sequel returns the query it ran with each result so numbers can be verified, and logs queries and actions. The site says connections use OAuth or a key and nothing needs self-hosting. Writes are disabled unless explicitly enabled and require the agent to show the exact call before running.

Key features

  • Read-only connections to data sources by default
  • Connectors for GA4, Google Ads, HubSpot, Stripe, Search Console, BigQuery, Snowflake, and Postgres
  • Shared metric definitions applied consistently across agents
  • Works with Claude, ChatGPT, Cursor, Codex, and other MCP clients
  • Returns the query run alongside each result
  • Per-source scoped access and visibility into callable tools
  • Write actions disabled by default and require confirmation when enabled
  • Credentials handled by Sequel and not exposed to agents
  • Logging and attribution of queries and actions
  • Live dashboards and cross-source questions in plain English

Best suited for

  • Marketing teams analyzing campaign performance and attribution
  • Revenue teams tracking pipeline health and forecast accuracy
  • Finance teams reviewing burn, runway, and margins
  • Founders wanting key metrics on demand

Pricing

Not stated on the website

AI agentsMarketing analyticsMCPBusiness intelligenceData connectorsRead-only

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