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readonly-postgres-mcp

readonly-postgres-mcp

readonly-postgres-mcp

Let AI read your PostgreSQL database - without letting it write to it.

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One MCP server. One job. Read PostgreSQL safely.

This package never writes to the database. There is no write API and no migration runner - not a mode that is switched off, but code that does not exist. Three independent layers enforce it: a SQL guard, a read-only transaction, and a database role granted SELECT and nothing else.

Read SECURITY.md for the threat model and the guard's documented limits before pointing this at production.

Install from npm

npm install readonly-postgres-mcp

Or run the MCP server without a global install:

npx readonly-postgres-mcp

Optional peer for NestJS apps:

npm install @nestjs/common

Related MCP server: mcp-postgres

Environment

A connection URL works, if you already have one:

DATABASE_URL=postgresql://readonly_user:pw@db.example.com:5432/analytics?sslmode=require

PG_URL is also accepted and takes precedence. Any discrete PG_* variable overrides the matching part of the URL.

Or set the parts individually:

PG_HOST=localhost
PG_PORT=5432
PG_DATABASE=postgres
PG_USERNAME=readonly_user
PG_PASSWORD=...
PG_SSL_MODE=require
PG_SEARCH_PATH=public
PG_STATEMENT_TIMEOUT_MS=30000
PG_MAX_ROWS=10000
PG_MCP_ALLOW_ADHOC=true
PG_ALLOW_EXPLAIN_ANALYZE=false

Variable

Default

Purpose

PG_HOST PG_DATABASE PG_USERNAME PG_PASSWORD

-

Required unless a connection URL is set

PG_PORT

5432

PG_SSL_MODE

see TLS

libpq sslmode value

PG_SEARCH_PATH

public

Comma-separated schemas

PG_STATEMENT_TIMEOUT_MS

30000

MCP tools use 15000

PG_MAX_ROWS

10000

MCP tools use 1000

PG_MCP_ALLOW_ADHOC

true

false hides pg_query_sql

PG_ALLOW_EXPLAIN_ANALYZE

false

EXPLAIN ANALYZE executes what it explains

PG_QUERY_REGISTRY

-

Path to your own registry.json; enables pg_query

Optional (backward-compatible fallbacks): PG_SSL (boolean) and PG_SSL_REJECT_UNAUTHORIZED (boolean, overrides certificate verification for whatever mode is resolved).

TLS

PG_SSL_MODE is a discrete connection parameter, set the same way as PG_HOST, PG_DATABASE, PG_USERNAME and PG_PASSWORD - no connection string required. It accepts the same values as a libpq sslmode= parameter:

PG_SSL_MODE

Pool ssl value

disable

false

allow

{ rejectUnauthorized: false }

prefer

{ rejectUnauthorized: false }

require

{ rejectUnauthorized: false }

no-verify

{ rejectUnauthorized: false }

verify-ca

{ rejectUnauthorized: true }

verify-full

{ rejectUnauthorized: true }

Unset: TLS is disabled for localhost / 127.0.0.1 and enabled without certificate verification for any other host.

Use a dedicated database role with SELECT only. See docs/db-role.sql.

Usage

import { PgReadonlyClient, QUERY_IDS } from 'readonly-postgres-mcp';

const pg = await PgReadonlyClient.fromEnv();

const result = await pg.readonly().run(QUERY_IDS.EXAMPLE_PING, {
  params: { message: 'hello' },
});

await pg.readonly().query(
  'SELECT table_name FROM information_schema.tables WHERE table_schema = $1 LIMIT 10',
  { values: ['public'] },
);

await pg.close();

NestJS

import { PgReadonlyModule, NESTJS, PgReadonlyClient } from 'readonly-postgres-mcp/nestjs';

@Module({
  imports: [PgReadonlyModule.forRoot()],
})
export class AppModule {}

@Injectable()
export class ReportService {
  constructor(@Inject(NESTJS.PG_READONLY_CLIENT) private readonly pg: PgReadonlyClient) {}
}

MCP server

Tool

Purpose

Shown when

pg_query_sql

Ad-hoc SELECT / WITH / EXPLAIN

Unless PG_MCP_ALLOW_ADHOC=false

pg_describe

List tables/views, or describe one relation's columns

Always

pg_query

Named catalog query by queryId

When PG_QUERY_REGISTRY is set

All three are annotated readOnlyHint: true, so MCP clients that surface the distinction show them as non-destructive.

pg_describe reads pg_catalog directly - faster than information_schema, and it reports row estimates, comments and partitioned tables correctly. Let the model call it rather than guessing at table names:

{}                        // list every relation in the search path
{ "table": "users" }      // columns, types, nullability, defaults, primary keys
pg-readonly-mcp

Ad-hoc example (pg_query_sql):

{
  "sql": "SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' ORDER BY 1 LIMIT 20"
}

With positional params:

{
  "sql": "SELECT table_name FROM information_schema.tables WHERE table_schema = $1 LIMIT 10",
  "values": ["public"]
}

Set PG_MCP_ALLOW_ADHOC=false to hide/disable pg_query_sql.

Limits applied to every query

Limit

MCP default

Setting

Statement timeout

15s

PG_STATEMENT_TIMEOUT_MS

Rows returned

1,000

PG_MAX_ROWS

The row cap is enforced by PostgreSQL, not after the fact: statements are wrapped as SELECT * FROM (<your query>) LIMIT <cap>+1, so a SELECT * against a large table cannot exhaust the server's memory. Because the cap is pushed down, rowCount reports rows returned, not rows matched, and truncated tells you whether more exist.

Supported SQL

SELECT, WITH (non-data-modifying CTEs) and EXPLAIN. One statement per call - no trailing second statement, and no semicolon needed.

EXPLAIN ANALYZE is rejected by default because it executes the statement it explains. Set PG_ALLOW_EXPLAIN_ANALYZE=true if you need it. Plain EXPLAIN always works.

Everything else is rejected before it reaches the database: INSERT, UPDATE, DELETE, MERGE, COPY, CREATE, DROP, ALTER, TRUNCATE, GRANT, REVOKE, VACUUM, REINDEX, CLUSTER, CALL, DO, SELECT INTO, data-modifying CTEs, and multiple statements in one call.

Cursor MCP config:

{
  "mcpServers": {
    "readonly-postgres-mcp": {
      "command": "npx",
      "args": ["-y", "readonly-postgres-mcp"],
      "env": {
        "PG_HOST": "localhost",
        "PG_DATABASE": "postgres",
        "PG_USERNAME": "readonly_user",
        "PG_PASSWORD": "...",
        "PG_SSL_MODE": "require"
      }
    }
  }
}

Named query catalog (optional)

Instead of ad-hoc SQL, you can expose a fixed set of pre-approved queries. Point PG_QUERY_REGISTRY at your own registry file; query paths resolve relative to it, so a catalog is a self-contained folder:

my-catalog/
  registry.json
  queries/
    reports/active-users.sql
  1. Write the .sql file using :namedParams

  2. Register it in registry.json with its param types

  3. Set PG_QUERY_REGISTRY=/path/to/my-catalog/registry.json

  4. Validate with npx pg-validate-catalog

Every catalog query is checked by the same SQL guard at startup, so a write statement in a catalog file stops the server rather than running.

Scripts

npm run validate:catalog
npm test
npm run build
npm run pack:check

Publishing to npm

npm login
npm run pack:check
npm publish --access public

Defense in depth

Layer

Mechanism

SDK

SqlGuard allowlist + DML scan + param limits + no write API

Connection

default_transaction_read_only=on

Database

Readonly role with SELECT only

The database role is the security boundary; the other two layers are defense in depth. The guard does not understand function calls, and a few functions (dblink, nextval) escape a read-only transaction - see SECURITY.md. Set the role up with docs/db-role.sql, which includes a checklist for verifying that writes actually fail.

Questions, ideas or feedback?

Email: amar141989@gmail.com

Or open a GitHub issue.

I read every email.

Available Tools

2 tools
pg_describeA
Read-onlyIdempotent

Inspect the database schema.

Call with no arguments to list the tables, views and materialized views in the configured search path, with their estimated row counts and comments. Call with "table" to list that relation's columns, types, nullability, defaults, primary keys and comments.

Prefer this over querying information_schema by hand: it is faster and reports partitioned tables and comments correctly.

Inputs: table, schema.

pg_query_sqlA
Read-onlyIdempotent

Run a single read-only SQL query against a PostgreSQL database.

Only SELECT, WITH and EXPLAIN are permitted. Writes and DDL (INSERT, UPDATE, DELETE, MERGE, COPY, CREATE, DROP, ALTER, TRUNCATE) are rejected before reaching the database, as are data-modifying CTEs.

Exactly one statement per call — do not send two statements separated by a semicolon. A single trailing semicolon is fine.

Results are capped at 1000 rows and 15s. The response reports "truncated": true when more rows matched than were returned, and "rowCount" is the number of rows returned, not the number matched — use a COUNT(*) query if you need the true total.

Pass literals through "values" as $1, $2 placeholders rather than building them into the SQL string.

bigint and numeric columns are returned as JSON strings, not numbers.

Use pg_describe to discover tables and columns instead of guessing at names.

EXPLAIN ANALYZE is rejected by default because it executes the statement it explains; plain EXPLAIN always works.

Inputs: sql (required), values.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have completely distinct purposes: pg_query_sql executes read-only queries while pg_describe inspects schema metadata. There is no realistic scenario where an agent would confuse the two, and the descriptions even cross-reference each other (use pg_describe before pg_query_sql).

    Naming Consistency4/5

    Both names use a consistent 'pg_' prefix and snake_case, which reads well as a set. The second segments differ structurally (query_sql is verb+format while describe is a bare verb), a minor deviation from a strict verb_noun pattern.

    Tool Count4/5

    Two tools is minimal but justified for a deliberately read-only server whose entire surface is 'run a query' and 'inspect the schema'. It does not feel arbitrarily thin given the narrowly scoped purpose, though there is little room to grow.

    Completeness4/5

    Query execution plus schema discovery covers the core read-only lifecycle (explore schema, then query it). Minor gaps remain, such as no dedicated pagination/offset helper or multi-statement/session tooling, but row caps and the 'truncated' flag give agents workable paths.

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