Sequel – Connect Your Data Stack to Any AI Agent via MCP
Sequel acts as a secure MCP bridge between your databases, SaaS tools, and any AI agent. Connect once, query in plain English across PostgreSQL, BigQuery, Stripe, and 100+ sources.
TL;DR
TL;DR: Sequel is a managed data layer that speaks MCP — connect your databases and SaaS tools once, then query them in plain English from Claude, Cursor, or any MCP-capable AI agent. No credentials shared to the agent.
Source and Accuracy Notes
All claims verified from actual source. Links visited 2026-06-27.
- Project page: sequel.sh
- Source: no public source repo (SaaS only)
- HN launch: news.ycombinator.com/item?id=41636462
- Docs: sequel.sh/docs
- License: Proprietary SaaS (no open-source license)
What Is Sequel?
Sequel describes itself as “the data layer for your agents.” You connect your cloud databases, warehouses, and SaaS tools to Sequel once, then any MCP-capable AI agent — Claude, Cursor, ChatGPT, or any other — can ask questions of your data in plain English and get back real answers.
The core value proposition from the docs:
“Sequel is the data layer for your agents. It manages auth, credentials, and execution to securely connect your cloud databases, warehouses, and SaaS tools to the AI agents you already use, over MCP.”
Instead of handing out database passwords or API keys to every tool, agents talk to Sequel, and Sequel safely talks to your data.
Key concepts from the docs
- One secure boundary. Credentials live in Sequel, encrypted. Agents ask Sequel to run work — they never see the secret behind a connection. Authorize a tool once, revoke any time.
- Connect once, use everywhere. The same connections power every MCP client. Add a new agent with a permission grant, not another round of credential setup.
- Cross-source queries. Ask questions that span databases, warehouses, and product data in one go. Sequel figures out the joins.
- Audit logs. Every query and action your team runs is logged, attributed, and reviewable.
Supported Data Sources
Sequel supports a wide range of integrations out of the box. Verified from the docs:
Databases:
- PostgreSQL
- MySQL
- ClickHouse
- Google BigQuery
Marketing and analytics:
- Google Analytics
- Google Search Console
- Amplitude
- Mixpanel
- PostHog
- Ahrefs
Ads and revenue:
- Google Ads
- Meta Ads
- Stripe
CRM and product:
- HubSpot
- Apollo
- Intercom
Other:
- Google Sheets
-
- more via the integrations directory at sequel.sh/docs/integrations
Setup Workflow
Step 1: Create a Sequel account
Sign up at sequel.sh/auth. The Starter plan is free with 1 data source, 1 user, and 1,000 queries per month. Pro is $49/month for unlimited sources and users.
Step 2: Connect your first data source
From the dashboard at https://sequel.sh/dashboard?next_page=install, select your data source type and provide the connection credentials. Sequel handles auth and holds every connection secret — agents get answers through a secure gateway, never the keys.
Step 3: Install the Sequel MCP server
Sequel communicates with your AI agents over the Model Context Protocol. The installation steps are documented at sequel.sh/docs/install.
After installing, your MCP-capable agent can immediately start querying your connected data sources.
Step 4: Query in plain English
Once connected, ask your agent questions across all integrated sources:
"What was our MRR growth from Stripe last quarter compared to the previous quarter?"
Sequel pulls the data, runs the math, and returns the answer — no SQL exports or spreadsheet stitching required.
Pricing
From sequel.sh/pricing:
| Plan | Price | Data sources | Users | AI agents (MCP) | |---|---|---|---|---| | Starter | Free | 1 | 1 | Yes | | Pro | $49/month | Unlimited | Unlimited | Yes | | Enterprise | Custom | Unlimited | Unlimited | Yes + SSO/SAML + dedicated Slack |
The free Starter plan is functional but limited to a single data source and one user — useful for evaluation. Pro unlocks the full stack. Enterprise adds SSO, SAML, and self-hosted deployment options.
Practical Evaluation Checklist
- [ ] Connected at least one database (PostgreSQL or BigQuery recommended)
- [ ] Connected one SaaS tool (Stripe or Mixpanel recommended)
- [ ] Installed the Sequel MCP server and confirmed connectivity
- [ ] Ran a cross-source query spanning two connected tools
- [ ] Reviewed audit logs for a query run under your account
- [ ] Tested permission revocation for a specific tool connection
Security Notes
Sequel is a hosted SaaS product, not self-hosted. A few security considerations:
- Credentials are stored by Sequel and never exposed to connected agents
- Every agent query is logged and attributable to a specific user
- Connections can be revoked individually at any time
- The Enterprise plan adds SSO/SAML for team authentication
If self-hosted data processing is a hard requirement, the Enterprise plan’s self-hosted deployment option may be relevant, though pricing is not public.
FAQ
Q: Does Sequel work with self-hosted models or local agents? A: Sequel requires an MCP-capable agent. It works with any agent that speaks MCP — this includes local setups as long as the agent supports the MCP protocol. The agents themselves (Claude, Cursor, etc.) handle the AI processing.
Q: Can I query across multiple data sources in a single question? A: Yes. One of Sequel’s core features is cross-source queries where it figures out the joins across databases and SaaS tools automatically.
Q: Is there an open-source version? A: No. Sequel is a proprietary SaaS product. There is no public source repository or self-hosted open-source version.
Q: What happens to my data? A: Sequel sits as a gateway between your agents and your data sources. It processes queries and returns results. For full data handling details, review their privacy policy and terms of service.
Conclusion
Sequel solves the credential-management problem that comes with connecting AI agents to real data. Instead of distributing database passwords to every tool, you wire everything through one MCP gateway, get audit logs on every query, and revoke access in one place when needed.
The free Starter plan is enough to evaluate the core workflow. If you’re running a data team where multiple agents need access to the same databases and SaaS tools, Sequel removes the friction of per-agent credential setup.
HN thread: news.ycombinator.com/item?id=41636462
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