pg-guard-mcp

pg-guard-mcp

Enables read-only PostgreSQL interaction through safe query execution, query planning, table and column inspection, and privilege checks, with multi-layer defenses against write operations and transaction-control exploits.

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README

pg-guard-mcp

PyPI

A PostgreSQL MCP server that enforces read-only access at the protocol and privilege level — not by parsing the query string and hoping.

Install

pip install pg-guard-mcp
# or, without installing anything permanently:
uvx pg-guard-mcp

Why this exists

The official @modelcontextprotocol/server-postgres shipped a read-only mode that a single COMMIT; could bypass: it wrapped the agent's query in BEGIN TRANSACTION READ ONLY and sent the whole thing as one string. Postgres accepts semicolon-separated multiple statements in that mode, so SELECT 1; COMMIT; DROP SCHEMA public CASCADE; closed the read-only transaction early and ran the drop as an ordinary write. The package was deprecated over it. (Datadog Security Labs writeup)

pg-guard-mcp exists because that bug class — "read-only" enforced only by string inspection — is still common across the MCP ecosystem. It defends in three independent layers, so no single mistake is fatal:

  1. Protocol layer (the real boundary). Every query runs through Postgres's extended query protocol (Parse/Bind/Execute), never the simple query protocol. The extended protocol structurally rejects more than one statement per Parse message — Postgres itself refuses it, before any of our code runs. This is why the Datadog exploit cannot work here regardless of what string is submitted.
  2. Session layer. Every connection sets default_transaction_read_only = on at the session level, so even a query that somehow reached the database as a write is rejected by Postgres.
  3. Pre-flight layer. Before a query is even sent, it's checked for multiple statements and transaction-control keywords (COMMIT, ROLLBACK, BEGIN, SAVEPOINT, ...) and rejected with a clear error. This exists to fail fast and loud, not as the primary defense.

On top of that, connecting with a database role that has had write privileges REVOKEd is the recommended (and startup-checked) setup — belt and suspenders at the privilege layer too.

Tools

Tool Does
pg_run_query(sql) Run one read-only statement, return rows
pg_explain_query(sql) Return the query plan without running it
pg_list_tables(schema="public") List tables/views in a schema
pg_describe_table(table_name, schema="public") List a table's columns
pg_check_privileges() Report any write grant the connected role actually holds — should always come back empty

Setup

pip install pg-guard-mcp
export PG_GUARD_DSN="host=127.0.0.1 dbname=mydb user=myapp_readonly password=..."
pg-guard-mcp

Point your MCP client at the pg-guard-mcp command (or uvx pg-guard-mcp to skip a permanent install) with PG_GUARD_DSN set in its env config.

See .env.example for all supported environment variables, and scripts/setup_dev_db.sh for a working example of setting up a properly-restricted read-only role (the setup this project's own tests run against).

Testing

pip install -e ".[dev]"
pytest tests/ -v

tests/test_safety.py is pure-Python and needs no database. tests/test_db.py and tests/test_server.py run against a real local PostgreSQL instance — including the exact exploit payload that deprecated the official Postgres MCP server — and skip automatically if pgguard_test isn't reachable. Run scripts/setup_dev_db.sh once to create it.

Status

v0.1.0, live on PyPI. 58 passing tests (unit + live-Postgres integration, including the exact exploit that deprecated the official server-postgres, run against a fresh pip install of the published package).

License

MIT

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