208 lines
7.4 KiB
Markdown
208 lines
7.4 KiB
Markdown
# dbmole-mcp
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dbmole-mcp is a stdio MCP server for PostgreSQL and MySQL. It exposes named
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connections, optional SSH tunnels, and runtime connection management: you add,
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edit, and remove connections through MCP tools without restarting the harness.
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It ships as both an npx package and a Docker image, so it runs anywhere your MCP
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client does.
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## Quick start (npx)
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Add the server to your client's `.mcp.json`:
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```json
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{
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"mcpServers": {
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"dbmole": {
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"command": "npx",
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"args": ["-y", "dbmole-mcp"]
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}
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}
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}
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```
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That is enough to start the server. With no connections configured it still runs;
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use `add_connection` to register a database, or supply connections up front
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through one of the sources below.
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## Connection sources
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Connections are merged from three layers. Higher layers win on name collisions.
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| Priority | Source | How to set | Mutable at runtime |
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| --- | --- | --- | --- |
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| High | `DBMOLE_CONNECTIONS` env | JSON array of connection objects | No (read-only) |
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| Medium | Config file | `--config <path>` or `DBMOLE_CONFIG`, shape `{ "connections": [...] }` | No (read-only) |
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| Low | Persistent store | `~/.config/dbmole/connections.json` (mode `0600`); override with `DBMOLE_STORE` | Yes (via tools) |
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Rules:
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- Reads resolve name collisions by layer priority: env > config > store, so a
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higher layer shadows a lower one with the same name. `list_connections`
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reports the source layer that won.
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- Writes never create a new shadow: `add_connection` refuses a name that already
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exists in any layer (env, config, or store), even one it cannot edit.
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- `add_connection`, `update_connection`, and `remove_connection` only touch the
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store layer. Editing a connection that came from the env or a config file
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returns an error naming its source.
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- The store is re-read on every operation, so several dbmole instances sharing
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the same store file see each other's changes immediately.
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## Connection config reference
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Each connection is an object with the following fields. Unknown fields are
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rejected (the schemas are strict).
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| Field | Type | Notes |
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| --- | --- | --- |
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| `name` | string | matches `[a-zA-Z0-9_-]+`; `add_connection` refuses a name already present in any layer |
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| `type` | `postgres` \| `mysql` | the database engine |
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| `host` | string | database host |
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| `port` | number | defaults to `5432` (postgres) or `3306` (mysql) |
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| `user` | string | database user |
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| `password` | string | database password |
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| `database` | string | default database for the schema and query tools |
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| `readonly` | boolean | defaults to `false`; see Readonly mode below |
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| `ssh` | object | optional SSH tunnel (see below) |
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For PostgreSQL, a connection without a `database` falls back to the conventional
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`postgres` maintenance database for `list_databases` and `test_connection`. On
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servers that lack it, set `database` explicitly.
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The `ssh` object accepts:
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| Field | Type | Notes |
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| --- | --- | --- |
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| `host` | string | bastion host |
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| `port` | number | defaults to `22` |
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| `user` | string | SSH user |
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| `password` | string | password auth |
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| `privateKey` | string | key contents |
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| `privateKeyPath` | string | path to a key file; a leading `~` is expanded |
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| `agent` | boolean | use the SSH agent at `SSH_AUTH_SOCK` |
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| `passphrase` | string | passphrase for an encrypted key |
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A full example — a PostgreSQL database reachable only through a bastion, opened
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read-only:
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```json
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{
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"name": "prod-replica",
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"type": "postgres",
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"host": "10.0.0.12",
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"port": 5432,
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"user": "readonly",
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"password": "s3cret",
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"database": "app",
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"readonly": true,
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"ssh": {
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"host": "bastion.example.com",
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"port": 22,
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"user": "deploy",
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"privateKeyPath": "~/.ssh/id_ed25519"
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}
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}
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```
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## Tools
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| Tool | What it does |
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| --- | --- |
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| `list_connections` | list configured connections and their source layer |
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| `add_connection` | register a new connection in the store |
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| `update_connection` | patch a stored connection; a `null` value removes that field |
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| `remove_connection` | delete a stored connection |
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| `test_connection` | open a connection and report success or the failure reason |
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| `execute_sql` | run a single statement with positional params (`$1..` for postgres, `?` for mysql); `rowLimit` defaults to `100`, max `1000` |
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| `list_databases` | list databases on the server |
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| `list_tables` | list tables in a database |
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| `describe_table` | describe a table's columns |
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## SQL guardrails
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`execute_sql` runs exactly one statement per call. Multi-statement input is
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rejected before anything is sent to the database. Session-level statements
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(`BEGIN`, `SET`, `USE`, and similar) are also rejected, because every call runs
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on a connection drawn from a pool and must not leave session state behind.
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## Readonly mode
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Readonly is server-enforced, not advisory:
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- PostgreSQL sessions start with `default_transaction_read_only=on`, set through
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the libpq startup options.
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- MySQL sessions run `SET SESSION TRANSACTION READ ONLY` on first checkout.
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Both block DML and DDL; this is verified against `postgres:17` and `mysql:8.4`
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in the integration suite. Trying to flip the flag back with a `SET` is also
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blocked by the SQL guard. For a hard guarantee in untrusted contexts, still
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connect with a read-only database user — readonly mode is defence in depth, not
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a substitute for database permissions.
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The PostgreSQL mechanism is a libpq startup option, which PgBouncer in
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transaction or statement pooling mode does **not** forward to the server. Behind
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such a pooler the readonly flag is silently ineffective; use a read-only
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database user there instead.
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## Security notes
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- The store is a plaintext JSON file written with `0600` permissions. The trust
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model is the same as `~/.pgpass`: whoever can read the file owns the
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credentials in it.
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- For secrets you do not want written to disk by the tools, prefer
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`DBMOLE_CONNECTIONS` or `--config`. Those layers are read-only at runtime, so
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the tools never persist them.
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- Database error messages — codes, hints, and object names — are returned to the
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MCP client by design. The caller is the database client and is meant to see
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them.
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## Docker
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Build the image:
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```bash
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docker build -t dbmole-mcp .
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```
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Run it from your client, persisting the store in a named volume:
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```json
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{
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"mcpServers": {
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"dbmole": {
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"command": "docker",
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"args": [
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"run",
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"-i",
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"--rm",
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"-v",
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"dbmole-store:/home/node/.config/dbmole",
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"dbmole-mcp"
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]
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}
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}
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}
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```
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The image runs as the non-root `node` user, so the store lives at
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`/home/node/.config/dbmole` — mount the volume there (as above).
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Note: when an SSH tunnel targets a bastion that is only reachable from the host,
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the usual Docker networking caveats apply. Use `host.docker.internal` (or host
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networking) so the container can reach it. On Docker Desktop that name resolves
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automatically; on plain Linux Docker Engine you must add
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`--add-host=host.docker.internal:host-gateway` to the `docker run` args.
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## Development
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```bash
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npm run test:unit # fast unit tests (mocked IO)
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npm run test:int # integration tests (needs Docker)
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npm run coverage # unit tests with coverage
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npm run lint # Biome check
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npm run build # bundle to dist/
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```
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See [AGENTS.md](AGENTS.md) for the contributor style contract: code style,
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TypeScript discipline, testing rules, and commit conventions.
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