sequel.sh valid

Sequel

Sequel is the company brain your agents run on. It connects the systems your company already runs on, learns how your team defines every metric, and hands that to any AI agent over MCP. It manages authentication, credentials, and query execution so the AI tools you already use (Claude, Cursor, ChatGPT, and any MCP-capable agent) can securely query your cloud databases, warehouses, product analytics, and SaaS tools. Connect a source once: your agents talk to Sequel, and Sequel talks to your data,

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For agents: Sequel connects company databases, warehouses and SaaS tools to AI agents over MCP, with governed metric definitions. Docs cover setup for Claude, Cursor and Ch

mcp server ai agents data warehouse metrics layer product analytics

Authority: 45 reach 0 · trust 5 · quality 25 · freshness 15
Tier: listed
llms.txt: https://sequel.sh/llms.txt
llms-full.txt: https://sequel.sh/llms-full.txt
Sections: 3
Links: 58
Size: 19290 bytes
Country: United States Hosting inference
Hosting country: United States Hosting inference
Country evidence: No published address evidence collected yet
Categories: AI and machine learning · AI agents and MCP · Data and analytics
For agents: Documentation: developer or product docs worth reading, nothing to call
Inferred actions: Read documentation Search content About these labels
Audience: business · agents can: read docs, search content · en
First seen: 2026-10-24T09:15:27.834Z
Last checked: 2026-10-24T09:15:30.343Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T09:15:27.999Z. Cached copy · Source on sequel.sh

# Sequel

> Sequel is the company brain your agents run on. It connects the systems your company already runs on, learns how your team defines every metric, and hands that to any AI agent over MCP. It manages authentication, credentials, and query execution so the AI tools you already use (Claude, Cursor, ChatGPT, and any MCP-capable agent) can securely query your cloud databases, warehouses, product analytics, and SaaS tools. Connect a source once: your agents talk to Sequel, and Sequel talks to your data, so adding a new tool is a permission grant rather than a secret-sharing exercise. The brain is built on your systems of record, not your stale documents: Sequel does not index wikis or Slack threads, it connects the systems those documents are usually wrong about.

Every documentation page is available as raw Markdown — append `.md` to its URL (e.g. /docs/getting-started.md). The complete documentation is concatenated at /llms-full.txt.

## Documentation
- [Introduction](https://sequel.sh/docs): What Sequel is and how it fits together
- [Getting Started](https://sequel.sh/docs/getting-started): Connect the MCP server and run your first query
- [Install Sequel MCP](https://sequel.sh/docs/install): Setup for Claude Code, Cursor, ChatGPT, and more
- [Integrations](https://sequel.sh/docs/integrations): Every supported data source
- [Full documentation (Markdown)](https://sequel.sh/llms-full.txt): All docs concatenated into one file

## Product
- [Home](https://sequel.sh/): What Sequel is and who it is for
- [Data sources](https://sequel.sh/sources): Databases and tools Sequel connects to — and how to connect each to your AI agent
- [Pricing](https://sequel.sh/pricing): Plans and pricing
- [Skills](https://sequel.sh/skills): Ready-made playbooks an agent follows to investigate SEO, marketing and revenue questions against connected accounts
- [Blog](https://sequel.sh/blog): Guides and articles

## Skills

Playbooks the agent reads with `sequel_read_skill` (by slug) and follows step by step: which tools to call, in what order, with the gotchas that otherwise produce a confidently wrong answer. Install the umbrella skill with `sequel install`; every playbook is also published as a standalone SKILL.md via https://sequel.sh/.well-known/agent-skills/index.json. For anything about SEO, start with the `seo` playbook.
- [SEO: audit, diagnose and improve organic search](https://sequel.sh/skills/seo): Start here for any SEO or organic search question, including vague ones: something feels off with our Google numbers, how is our site doing in search, audit our SEO, give me an honest summary of SEO for leadership, why did traffic or rankings drop, what should we fix or write next. Covers Search Console and GA4 organic data, keywords and rankings, CTR, cannibalization, content decay, competitors and backlinks, keyword gaps, indexing and sitemaps, technical audits, redirects, metadata, internal links, AI crawlers, llms.txt and AI search visibility, and which orga
…

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