Connect PostgreSQL MCP to your AI Agents

Query your PostgreSQL database in plain English. No SQL required.

Example prompts

Everything you can ask your agent about your PostgreSQL data.

Ask in plain English — Sequel translates it into a PostgreSQL query, runs it, and your agent hands back the answer. No SQL, no dashboards, no CSV exports.

Connect to your agent
What you can ask your agent
  • How many rows are in each table?
  • Show me the 10 most recently created users
  • What's the average order value by customer segment?
  • Which products have never been ordered?
  • Show me monthly revenue broken down by plan type

Install

Install PostgreSQL MCP in your agent

Pick your app and Sequel installs itself: a one-click link where the client supports it, that client’s own few steps where it doesn’t. Every route signs in with your Sequel account over OAuth, so there is no API key to copy and nothing to keep in sync.

Claude, ChatGPT, Cursor, VS Code, Claude Code, Codex, Grok, Muse, dots and any other MCP app

Already have an MCP client?

https://api.sequel.sh/mcp

Add it as a remote (streamable HTTP) server and sign in when prompted. Skills come with it; nothing else to install. Manual setup per client

Choose your app

  • Claude

    One click, opens in the app

  • Cursor

    One click, opens in the app

  • VS Code

    One click, opens in the app

  • ChatGPT

    Turn on developer mode, then add Sequel. About two minutes.

  • Claude Code

    Run one command, then sign in with /mcp.

  • Codex

    Run one command, then sign in.

  • Gemini CLI

    Run one command, then sign in with /mcp auth.

  • Grok

    Add Sequel as a connector and sign in.

  • Grok Bot

    Paste this to the bot. It registers Sequel and asks you to sign in.

  • Muse

    Muse writes its own connector. One message is the whole setup.

  • dots

    Add Sequel in ChatGPT; your dot picks it up with no extra step.

  • OpenCode

    Add Sequel as a remote server from the OpenCode CLI.

  • Other MCP app

    Any client that speaks remote MCP can connect with this URL.

Skills

Playbooks that run on PostgreSQL

Step-by-step procedures your agent follows on your PostgreSQL data, instead of improvising a query. Browse all skills

Can we trust our product metrics

Two tools show different numbers for the same metric and nobody knows which to trust. Reconciles the disputed figure against a system of record such as Stripe or the application database, then finds the instrumentation defect behind it: duplicate and near-duplicate event names, events that silently stopped firing, missing properties and system-fired events counted as user actions.

Dispute and refund risk monitor

Track chargeback and dispute activity and refund rate against the Visa VAMP and Mastercard ECM thresholds that get a payment account fined or shut off, and find which products, plans or cohorts generate them. Covers dispute rate versus dispute activity, per-network denominators and dispute-fighting economics.

Failed payment and involuntary churn audit

Separate customers who chose to leave from cards that simply declined: failed payments, declined renewals and involuntary churn, and where in the dunning and retry sequence the recovery is being lost. Covers involuntary churn share, first-attempt failure rate, payment recovery rate, decline codes and which accounts are sitting in dunning right now.

Feature launch impact readout

Measure whether a feature we just shipped actually landed: adoption against an eligible denominator of users who could even reach it, breadth, depth and sustained use after the release, a pre and post impact estimate with or without a control group, and a keep, iterate or sunset call.

Find our activation moment

Discover the aha moment: which early in-product action, taken in the first session or first week, most separates users who stay from users who vanish, how to score candidate first actions by retention lift, and what share of new signups ever reach it. Covers activation metric definition, activation rate and time to value.

Is our retention curve flattening

Do users keep coming back, or do they drift away after the first week or month? Builds the cohort retention curve for your key action at its natural frequency and judges whether it flattens to a plateau or decays to zero, covering N-day versus unbounded retention, repeat usage, leaky bucket diagnosis and how the plateau compares to published benchmarks.

Frequently asked questions

How do I connect my PostgreSQL database?

Click 'New Connection', select PostgreSQL, and enter your host, port, database name, username, and password. Sequel will test the connection before saving. Make sure your database allows connections from Sequel's IP range.

Is my database connection secure?

All connections use SSL/TLS by default. Credentials are encrypted at rest and never exposed in query results or logs. Sequel uses a read-only connection by default and will not execute write statements.

Can Sequel modify my data?

No. Sequel is read-only by default and will warn you if a query could modify data. The agent is explicitly instructed never to run INSERT, UPDATE, DELETE, or DDL statements unless you explicitly request and confirm it.

What PostgreSQL versions are supported?

Sequel supports PostgreSQL 12 and above. Older versions may work but are not officially tested.

Can I connect a cloud-hosted PostgreSQL database?

Yes. AWS RDS, Supabase, Railway, Neon, Google Cloud SQL, and other cloud PostgreSQL providers all work. You may need to allow Sequel's IP in your database firewall rules.

Does Sequel understand my schema automatically?

Yes. When you connect, Sequel reads your table names, column names, types, and relationships. It uses this schema to write accurate SQL and avoid hallucinated column names.

Start analyzing your PostgreSQL data today

Connect in minutes — then ask across all your data, not just one source.