sw-postgres-mcp
Overview
Description from the maker (original English)
Safe-write Postgres MCP server with preview-before-execute writes and rollback safety.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi2 of 2 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 49/wk · ★ 0
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Databases & datasets
- You need to fill in: DATABASE_URL_READONLY, DATABASE_URL_WRITER
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 2 of 2 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
DATABASE_URL_READONLY,DATABASE_URL_WRITER
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"sw-postgres": {
"command": "npx",
"args": [
"-y",
"sw-postgres-mcp"
],
"env": {
"DATABASE_URL_READONLY": "your-value",
"DATABASE_URL_WRITER": "your-value"
}
}
}
}Run this in your terminal
claude mcp add sw-postgres --env DATABASE_URL_READONLY=your-value --env DATABASE_URL_WRITER=your-value -- npx -y sw-postgres-mcpFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sw-postgres": {
"command": "npx",
"args": [
"-y",
"sw-postgres-mcp"
],
"env": {
"DATABASE_URL_READONLY": "your-value",
"DATABASE_URL_WRITER": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"sw-postgres": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"sw-postgres-mcp"
],
"env": {
"DATABASE_URL_READONLY": "your-value",
"DATABASE_URL_WRITER": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
- Postgres connection string for the read-only role.
- Postgres connection string for the writer role.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account jpka, which owns the repo
- ✓ Pass
Still maintained
Code last changed 2 months ago
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Databases & datasetsi
- More stars than 0% of the other 1160 servers in this category
- Published to the registry more recently than 23% of the other 1160 servers in this category
- Basic checks equal to or better than 100% of the other 1160 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is sw-postgres-mcp safe?
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: DATABASE_URL_READONLY, DATABASE_URL_WRITER
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 2 months ago, and the latest version (0.3.1) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Dbx, MCP Toolbox for Databases, MCP Toolbox for Databases
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Toolbox for Databases
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MCP Toolbox for Databases enables your agent to connect to your database.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Safe-write Postgres MCP server
An agent can read and modify a database without being able to cause an unrecoverable accident. The differentiator is the safety layer, not the tool coverage: 8 MCP tools, 3 of them read-only, 4 write tools that only ever *preview* a change, and one execute_plan that commits a previewed change and nothing else.
Architecture
Claude (agent)
│ MCP stdio (tools/call) ▼ sw-postgres-mcp │ ├─ describe_schema / query / explain_plan ──► readonly pool ──► Postgres "readonly" role (SELECT only) │ ├─ delete_rows / insert_rows / update_rows / run_migration │ │ │ ▼ │ TwoPhaseWrite.preview() │ BEGIN → run the real statement → ROLLBACK │ DML (delete_rows/insert_rows/update_rows): capture exact RETURNING count + sample │ DDL (run_migration): no RETURNING to capture — reports 0 affected rows, a target │ table/schema extracted from the statement text, and always │ goes to "awaiting_approval" regardless of that row count │ └─► plan_token = sha256(statement + params) ("statementFingerprint") │ ├─ affected_rows ≤ approvalRequiredAboveRows → status: "previewed" │ ├─ affected_rows > approvalRequiredAboveRows → status: "awaiting_approval" │ └─ affected_rows > hardMaxRows → refused outright, no token issued │ (run_migration ignores both thresholds — every DDL preview is "awaiting_approval") │ ├─ execute_plan(plan_token, statement, params) ──► writer pool ──► Postgres "writer" role (DML + DDL) │ re-derives the fingerprint from what was passed back and refuses on any mismatch │ (STATEMENT_MISMATCH) or an affected-row-set that changed since preview (ROWSET_CHANGED) │ └─ every preview / approval / execution / rejection / refusal ──► mcp_audit.log (INSERT-only grant; UPDATE/DELETE/TRUNCATE revoked — see "Audit log" below)
an "awaiting_approval" plan surfaces at: localhost approval UI — http://127.0.0.1:4319/?token= (bound to 127.0.0.1, human-only; the token is printed once on stderr at startup and every route requires it as Authorization: Bearer or ?token= — see "Localhost approval UI" below) approve() / reject() are called directly on the shared TwoPhaseWrite instance — never exposed as an MCP tool the agent itself can reach
Two Postgres connection pools, each authenticated as a distinct role (see Threat model below): readonly for describe_schema/query/explain_plan, writer for the four write-preview tools and execute_plan. All 4 write tools — delete_rows, insert_rows, update_rows, run_migration — share one core, TwoPhaseWrite (src/writeCore.ts): every one of them previews inside a transaction that always rolls back, then requires a separate execute_plan call with the exact plan token to actually commit. There is no 5th write tool and no tool that skips the preview step — execute_plan is the only thing in this server that commits anything, and it only ever replays a statement that was already previewed. See Tools below for what each tool takes and returns, and Two-phase writes for the mechanics.
Threat model
The risk here is not SQL injection. delete_rows, insert_rows, and update_rows take structured arguments — table, where + parameterized params, a set object — and every value in those structured inputs goes through $n placeholders, never string concatenation (see update_rows's note on this in Tools). run_migration is different: DDL can't be parameterized the way DML values can, so it sends its raw agent-supplied statement directly to Postgres, the same way query/explain_plan already handle raw SQL — its safety comes not from parameterization but from always requiring human approval regardless of row count (see Tools), never from an $n-placeholder guarantee it doesn't have. The agent is the *author* of the SQL it sends, and it's a trusted-but-fallible author: it isn't trying to escape a quote, but it can absolutely produce a syntactically perfect, well-formed statement whose *scope* is the problem — DELETE FROM users WHERE active = false when 40,000 rows happen to match, or an UPDATE that silently drops its WHERE clause because the agent forgot one. That is the failure mode this project is built to survive, and three mechanisms carry the weight:
1. Preview-and-rollback, not `EXPLAIN`. EXPLAIN only ever gives the Postgres planner's *estimate* of how many rows a statement will touch, derived from table statistics that can be stale (especially right after a bulk load, before ANALYZE has run) or simply wrong for a correlated predicate the planner can't model well. An approval gate built on an estimate is a gate an agent (or ordinary data skew) can defeat by accident, not just by malice — a statement whose *true* affected-row count is 40,000 could still sail under a threshold if the planner guessed 80. So every write tool here instead runs the real statement inside BEGIN … ROLLBACK: the row count in the preview is the exact count a real execution just produced, not a projection. EXPLAIN still has a job — the standalone explain_plan tool offers it as a cheap, side-effect-free pre-check an agent can call before ever attempting a two-phase write — but it is never what the approval thresholds compare against.
2. Role separation, not parsing. readonly and writer are two distinct Postgres roles with distinct grants (docker/init/01-roles.sql): readonly has SELECT only (and CREATE explicitly revoked on its schema); writer has SELECT, INSERT, UPDATE, DELETE, gated further by this project's own write allowlist. A mutating statement submitted through the readonly pool is refused by Postgres itself with permission denied — verified against a live database in tests/roles.test.ts, not just asserted in code. The alternative — parsing or regex-matching SQL text to decide "is this a write?" — was deliberately not made the safety boundary: a parser can always be fooled by a form it wasn't written to catch (a CTE-wrapped WITH x AS (DELETE FROM ... RETURNING *) SELECT * FROM x, a mutating function call, a quoting edge case), and getting that wrong is a security hole, not a cosmetic bug. query/explain_plan do still reject non-SELECT statements and enforce the read allowlist by extracting table references from the statement text (src/tools/sqlGuard.ts) — but that is explicitly a second, defense-in-depth layer on top of the role grant, not the property itself. See DECISIONS.md for the full reasoning, including why a gap in that text-based allowlist parsing (which needed several hardening passes for quoted/Unicode-escaped identifiers) is a bounded allowlist-bypass risk rather than a "read tool executed a write" risk.
3. Plan tokens bind to a statement-hash fingerprint. A plan token by itself — a random, opaque ID — would only prove "some preview happened at some point." It says nothing about *which* statement was previewed, which means a token alone can't stop a bait-and-switch: swap in a wider WHERE clause, a different table, extra rows, and hand the same-looking token to execute_plan. So every token is bound to statementFingerprint(statement, params) — a SHA-256 hash of the trimmed statement text plus the JSON-serialized parameter list — computed at preview time and re-derived from whatever execute_plan is actually called with; any mismatch is refused as STATEMENT_MISMATCH before anything runs. This is what makes a human's approval in the localhost approval UI mean something: they're approving the *exact* statement and params they were shown, not a token that could later be replayed against different SQL. (A second, independent check — the rows-affected digest — separately catches the case where the *same* statement now matches a different row set because of concurrent activity; see Two-phase writes below.)
See Limitations for what this model deliberately does not cover, and DECISIONS.md for the full write-up of each of these three decisions plus the approval-mechanism spike (#1).
Quick start
docker compose up -d
npm install npm test npm run build
Point Claude Desktop at the server (see config.example.json and Claude Desktop section below). node dist/index.js also starts a localhost approval UI at http://127.0.0.1:4319/ alongside it — open the full URL (with ?token=...) the server prints once on stderr, since every route requires the per-session bearer token.
Configuration
Copy config.example.json to config.json (or set SW_POSTGRES_CONFIG to a custom path):
{
"database": { "readonlyConnectionString": "postgres://readonly:readonly_password@localhost:5432/mcp_test", "writerConnectionString": "postgres://writer:writer_password@localhost:5432/mcp_test" }, "allowlist": { "read": { "schemas": ["public"], "tables": [] }, "write": { "schemas": [], "tables": [] } } }
allowlist.read— schemas/tables the agent may see viadescribe_schema/query. If empty, all tables are readable. Iftablesis non-empty, only those fully-qualified tables are listed.allowlist.write— schemas/tables the agent may mutate. Defaults to deny: if bothschemasandtablesare empty, nothing is writable. Add entries explicitly.write.planTtlMs— how long aplan_tokenstays valid (default60000). Overridable withSW_PLAN_TTL_MS.write.statementTimeoutMs— per-connectionstatement_timeoutfor write executions (default10000). Overridable withSW_STATEMENT_TIMEOUT_MS.write.approvalRequiredAboveRows— a preview whose exact rollback-preview affected-row count is at or below this returns a tokenexecute_planwill honour immediately, same as today. Above it, the preview instead returnsstatus: "awaiting_approval"and the token is refused byexecute_planuntil a human approves it out-of-band (see Approval threshold and hard row cap below — approval is deliberately not an agent-facing MCP tool). Default100. Overridable withSW_APPROVAL_REQUIRED_ABOVE_ROWS.write.hardMaxRows— a second, higher, separate threshold. A preview whose exact affected-row count exceeds this is refused outright: no token is issued at all, and there is no approval path — the response is a flat structured error (HARD_MAX_ROWS_EXCEEDED), not something to escalate past. Default10000. Overridable withSW_HARD_MAX_ROWS. Must be>= write.approvalRequiredAboveRows;loadConfigthrows otherwise.approvalServer.enabled— whether the localhost approval UI starts alongside the MCP server (defaulttrue). Overridable withSW_APPROVAL_SERVER_ENABLED("true"/"false"). With it disabled, no plan can ever be approved, so any preview that would require approval (abovewrite.approvalRequiredAboveRows, or anyrun_migration) is refused outright with a structuredAPPROVAL_UNAVAILABLEerror — noplan_tokenis issued — rather than issuing a plan that would only blockexecute_planuntil expiry.approvalServer.port— port the localhost approval UI listens on, bound to127.0.0.1only (default4319). Overridable withSW_APPROVAL_SERVER_PORT.approvalServer.requireAuth— whether the localhost approval UI requires its per-session bearer token on every route, including the read-only GET ones (defaulttrue). Loopback binding plus the Host/Origin/Sec-Fetch-Site provenance checks stop a hostile bro