Connected Apps

Postgres MCP Integration for AI Agents

Ask your database questions in plain English.

Connect a PostgreSQL database through a Postgres MCP server so MoClaw can inspect your schema and run SQL against it. The reference server is read-only — it exposes tables, columns, and relationships and executes read-only queries — while servers like Postgres MCP Pro add scoped write access and performance analysis. You connect with a standard Postgres connection string.

How it works

3 steps to wire up Postgres, no engineering required.

  1. 1

    Run a Postgres MCP server

    Point a Postgres MCP server at your database with a standard connection string. The reference @modelcontextprotocol/server-postgres is read-only; Postgres MCP Pro adds scoped writes and performance analysis. Use SSL and store credentials in environment variables.

  2. 2

    Add it to MoClaw

    In MoClaw, go to Connectors and choose Add MCP server, then point it at your Postgres MCP endpoint. Start read-only to explore safely.

  3. 3

    Ask your database

    Ask for counts, cohorts, schema explanations, or a slow-query diagnosis. MoClaw inspects the schema first, then runs the query and explains the result.

Why teams connect Postgres to MoClaw

Most questions about a product end at the database: how many users signed up this week, which orders are stuck, why a query is slow, what the schema for this feature actually looks like. Answering them normally means opening a SQL client, remembering the table layout, and writing the query by hand.

With a Postgres MCP server connected, MoClaw can do that against your real database. It first inspects the schema — tables, columns, types, relationships — so the SQL it writes fits your actual structure, then runs read-only queries and explains the results. Ask for a count, a cohort, a slow-query diagnosis, or just 'what does this table mean,' and you get an answer grounded in the live database instead of a guess.

Access is scoped by design. The reference Postgres MCP server is read-only, which makes it safe to point at production for exploration; servers like Postgres MCP Pro add configurable read/write access and performance tooling when you need it. You control the connection string and credentials, ideally through environment variables rather than anything pasted into a chat.

Try saying

Real prompts you can paste into Postgres.

  • How many users signed up in the last 7 days, and how does that compare to the previous week?
  • Explain the schema for the orders table and how it relates to customers and payments.
  • Find orders stuck in 'processing' for more than 24 hours and show the oldest 20.
  • This query is slow — EXPLAIN it and tell me what index would help.

Step by step demo

What actually happens when you send the prompt.

Prompt 01 4 steps

“Why did signups dip this week? Check the database.”

What MoClaw does

  1. 1 Inspects the schema to find the users and signups tables and their date columns.
  2. 2 Runs read-only queries comparing this week's signups to prior weeks, broken down by source.
  3. 3 Spots the channel where the drop is concentrated.
  4. 4 Explains the finding and suggests the next query to confirm it.
Result

MoClaw reports: 'Signups are down 22% week over week, and almost all of the drop is in the organic channel (down 41%); paid is flat. Likely a top-of-funnel issue, not checkout. Want me to pull the daily organic trend for the last 30 days?'

Postgres integration for busy teams and founders

Teams that commonly use Postgres with MoClaw workflows.

FAQ

Quick answers about pricing, privacy, and limits.

How does MoClaw connect to Postgres?
Through a Postgres MCP server pointed at your database with a standard connection string, added in MoClaw under Connectors > Add MCP server. There is no hosted Postgres MCP — you run the server where it can reach your database.
Can I keep it read-only?
Yes. The reference Postgres MCP server is read-only by design — it inspects the schema and runs read-only queries. If you need writes or performance tooling, servers like Postgres MCP Pro add configurable read/write access.
Is it safe to point at production?
With a read-only server and a least-privilege database role, exploration is safe. Use SSL, keep credentials in environment variables rather than in prompts, and grant only the access the role needs.
What can it actually do?
It can inspect your schema (tables, columns, types, relationships) and run SQL — read-only with the reference server, or read/write with servers that support it — then explain the results in plain language.

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1,000 credits a month, or bring your own key for unlimited usage.

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