SQLX MCP server
Commit 6 Nov 2026Eksekusi perintah SQL di lebih dari 30 jenis database berbeda melalui koneksi terenkripsi yang disimpan secara lokal.
Juga dikenal sebagai OtterMind/sqlx, @ottermind/sqlx
- Stars
- 3
- Tools
- —
- Unduhan, 30 hari
- —
- Versi terbaru
- 0.1.22
- Commit terakhir
- 6 Nov 2026
- Lisensi
- —
Apa itu SQLX MCP?
SQLX adalah MCP server. Eksekusi perintah SQL di lebih dari 30 jenis database berbeda melalui koneksi terenkripsi yang disimpan secara lokal.
Ringkasan dibuat dari README proyek
Tentang SQLX MCP server
SQLX menyediakan cara untuk mengeksekusi perintah SQL dan operasi database di lebih dari 30 jenis database yang berbeda. Tool ini mendukung berbagai sistem termasuk MySQL, PostgreSQL, Oracle, SQL Server, ClickHouse, Redis, dan MongoDB, serta file lokal seperti SQLite dan DuckDB. Developer dapat menggunakan tool ini melalui terminal atau dengan menghubungkannya ke AI agent via MCP.
User dapat mengelola koneksi secara lokal dengan kredensial yang disimpan dalam format terenkripsi. Server dapat diinstall via npx, script install spesifik platform, atau package yang sudah jadi untuk macOS, Linux, dan Windows. Saat digunakan dengan agent, SQLX dapat diintegrasikan melalui plugin khusus untuk Codex, Claude Code, DeepSeek Harness, atau Pi. Sistem akan menangani proses download database workers dan driver yang diperlukan secara otomatis hanya saat dibutuhkan untuk koneksi tertentu.
Apa yang bisa Anda lakukan dengannya
- 1Eksekusi perintah SQL via agentDeveloper dapat menginstruksikan AI agent untuk menjalankan query spesifik pada database yang terhubung.
- 2Kelola banyak koneksi databaseAnda dapat menambah dan mengetes berbagai datasource database menggunakan command line interface.
- 3Kelola kredensial database dengan amanTool ini memungkinkan user untuk memasukkan password melalui UI lokal guna mencegah password tersebut muncul di riwayat chat.
- 4Query file data lokalDeveloper dapat berinteraksi dengan file SQLite atau DuckDB lokal secara langsung dari terminal mereka.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Cara menginstal SQLX MCP
Format diverifikasi 10 Nov 2026Instal SQLX MCP di Claude Code
$ claude mcp add sqlx -- docker run -i --rm ghcr.io/ottermind/sqlx:0.1.22Instal SQLX MCP di Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"sqlx": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ottermind/sqlx:0.1.22"
]
}
}
}Instal SQLX MCP di VS Code
.vscode/mcp.json
{
"servers": {
"sqlx": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ottermind/sqlx:0.1.22"
]
}
}
}Instal SQLX MCP di Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"sqlx": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ottermind/sqlx:0.1.22"
]
}
}
}Instal SQLX MCP di Codex
~/.codex/config.toml
[mcp_servers.sqlx] command = "docker" args = ["run", "-i", "--rm", "ghcr.io/ottermind/sqlx:0.1.22"]
Instal SQLX MCP di Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"sqlx": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/ottermind/sqlx:0.1.22"
]
}
}
}Konfigurasi
SQLX_TEST_GBASE8S_DRIVERSQLX_WORKER_DIR
| Nama | Deskripsi | Tipe |
|---|---|---|
| SQLX_TEST_GBASE8S_DRIVER | — | |
| SQLX_WORKER_DIR | — |
Pengecekan otomatis
Berjalan 14 Nov 2026Laporan lengkap →Belum diverifikasi. Sebuah server memerlukan skor 80, tidak ada temuan serius, dan data yang cukup untuk kami periksa. Cara kerja checks
- Source repository terhubung dan dapat dijangkauottermind/sqlx is public and reachablegithub.com/ottermind/sqlx ↗Lolos
- Paket menyebut repo ini sebagai sumbernya@ottermind/sqlx names ottermind/sqlx as sourcenpmjs.com/package/@ottermind/sqlx ↗Lolos
- Provenance build (atestasi Sigstore)No build attestation published for this releaseTidak diperiksa
- Lisensi open source (OSI)No licenseTemuan
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-11-06github.com/ottermind/sqlx ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerNo popular package one edit away from @ottermind/sqlxLolos
- Tidak ada advisory kritis di paket maupun dependensinyaTidak diperiksa
- Tidak ada instruksi tersembunyi untuk model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelTidak diperiksa
- Endpoint remote menjawab handshake MCPTidak diperiksa
README
Lihat di GitHubSQLX
Connect to MySQL, MariaDB, TiDB, GreatSQL, OceanBase, PostgreSQL, CockroachDB, YugabyteDB, openGauss, Oracle, SQL Server, ClickHouse, Trino, Presto, StarRocks, Apache Doris, TDengine, Dameng, KingbaseES, Apache Kylin, XuguDB, IBM Db2, IBM Informix, SUNDB, GBase 8s, Redis and MongoDB, or open a local SQLite, DuckDB or H2 file, from your terminal or from your agent. Connections are saved encrypted, one invocation runs one or more statements or commands, and the results come back complete and structured.
Quick start
# 1. Install the CLI (macOS, Linux and Windows x64; Node.js 22 or newer)
npx -y @ottermind/sqlx@latest
export PATH="$HOME/.local/bin:$PATH"
# 2. Create a connection (an interactive terminal prompts for the username and password)
sqlx datasource add --name dev --type postgresql --host db.example.com --port 5432 --database app
sqlx datasource test --id dev
# 3. Run SQL
sqlx sql execute --datasource dev --command "SELECT current_database()"
Using an agent? See Use with your agent: install one plugin or extension and the agent calls SQLX directly.
Install the CLI
Three channels, pick one: prebuilt packages from GitHub Releases, the npx installer, or the platform install scripts.
macOS and Linux
curl -fsSL https://raw.githubusercontent.com/OtterMind/sqlx/main/scripts/install.sh | sh
export PATH="$HOME/.local/bin:$PATH"
sqlx --version
sqlx init
The installer selects your platform, downloads the executable and verifies its SHA-256. It installs to ~/.local/bin; add that directory to your shell's persistent PATH. SQLX_INSTALL_DIR chooses another directory and SQLX_VERSION selects a release version.
Windows x64
Run in PowerShell:
$installer = Join-Path $env:TEMP 'sqlx-install.ps1'
Invoke-WebRequest 'https://raw.githubusercontent.com/OtterMind/sqlx/main/scripts/install.ps1' -OutFile $installer
powershell -NoProfile -ExecutionPolicy Bypass -File $installer
$env:Path = "$env:LOCALAPPDATA\Programs\SQLX;$env:Path"
sqlx --version
sqlx init
Add %LOCALAPPDATA%\Programs\SQLX to your user PATH for future sessions. Neither installer overwrites an unrelated executable already named sqlx; use a different install directory in that case.
Prebuilt targets are macOS ARM64/x64, Linux ARM64/x64 and Windows x64; the Linux baseline is Ubuntu 24.04. Release users do not need Rust, Java or database drivers: database workers and a private JRE are downloaded only when needed.
Node.js (npx)
macOS, Linux and Windows x64 with Node.js 22 or newer:
npx -y @ottermind/sqlx@latest
export PATH="$HOME/.local/bin:$PATH"
sqlx --version
The installer verifies the release manifest, SHA256SUMS and the downloaded archive before installing. It uses the same user-level location as the platform installers and installs the Skill into ./sqlx, which no agent watches: --target codex, --target claude, --target dsh, --target pi or --target <directory> place the Skill where it is actually discovered, and --cli-only installs the CLI alone. Any other first argument is run as a SQLX command instead of installing, so npx -y @ottermind/sqlx@latest mcp starts the MCP server. Node.js is needed only by the installer, never by the CLI.
Updates
The CLI updates its own executable:
sqlx update check # report the latest stable version without installing it
sqlx update install # download, verify and replace the executable
sqlx update status # read local history without network access
sqlx update install --version <version> installs an exact stable version. Updates do not stop running SQL or the UI service, do not modify saved connections, and do not update Skills or plugins automatically; use sqlx skill update for managed Skills, and an installed UI plugin keeps the version you selected (the default interface moves with the CLI release).
Interactive use checks in the background at most once per day and only prints a notice on stderr. Piped and CI commands skip that check, and SQLX_NO_UPDATE_CHECK=1 disables it. Source builds and package-manager-owned paths keep their own installation method.
Use with your agent
All four are ready as soon as they are installed: the plugin or extension installs the sqlx CLI
itself when it is missing, so you never install it separately. Codex and Claude additionally
require the CLI to meet the plugin's minimum version and refuse to start an older incompatible MCP
server silently.
Each of them also leaves the Skill installed, because the CLI alone gives an agent the tools but none of the engine knowledge. A plugin installs the Skill into that agent's own directory on first launch when it is not there yet, and says so on stderr while it does.
Codex
codex plugin marketplace add OtterMind/sqlx@plugins
codex plugin add sqlx@ottermind
The plugin starts sqlx mcp over MCP. Read-only operations run directly; the two execution tools (sqlx_sql_execute and sqlx_sql_view) are marked destructive and Codex asks for approval by default.
Claude Code
claude plugin marketplace add OtterMind/sqlx@plugins
claude plugin install sqlx@ottermind
Headless runs need an explicit tool allowlist:
claude --allowedTools "mcp__plugin_sqlx_sqlx__*" -p "List my SQLX datasources"
DeepSeek Harness
dsh plugin --profile web add @ottermind/sqlx-dsh # browser UI
dsh plugin --profile tui add @ottermind/sqlx-dsh # terminal UI
Plugins belong to a profile: install it into the profile you use, then restart dsh.
Pi
pi install npm:@ottermind/sqlx-pi
Any other MCP client
A client with no plugin system takes the server straight from the published package. It installs
the sqlx CLI itself on first use, so this is the whole setup:
{
"mcpServers": {
"sqlx": {
"command": "npx",
"args": ["-y", "@ottermind/sqlx@latest", "mcp"]
}
}
}
Point command at an installed binary instead to start without npx; a GUI application often has
no ~/.local/bin on its PATH, so give the absolute path (~/.local/bin/sqlx on macOS and Linux,
%LOCALAPPDATA%\Programs\SQLX\sqlx.exe on Windows) and keep "args": ["mcp"].
Such a client receives no Skill, so its agent runs the tools without the engine recipes. Install it
where the client reads instructions from with sqlx skill install --path <directory>.
SQLX is also listed in the MCP Registry as
io.github.OtterMind/sqlx, which points at a container image for clients that install from there:
docker run -i --rm ghcr.io/ottermind/sqlx:latest. A container reaches only the SQL-execution path
— the credential page, the result page and the local workbench are served on the container's own
127.0.0.1, and the data directory lives inside it, so mount a volume at /root/.sqlx to keep
saved connections. Prefer the package above when the user should type credentials or read results.
Skill only
sqlx skill install --target codex # Codex and dsh share ~/.agents/skills
sqlx skill install --target claude
sqlx skill install --target dsh
sqlx skill install --target pi
sqlx skill status # list managed installations
sqlx skill update # update them, keeping local edits
For another agent, pass its skill directory with sqlx skill install --path <directory>.
Connections and SQL
Create a connection
sqlx datasource add --name dev --type postgresql --host db.example.com --port 5432 --database app
sqlx datasource test --id dev
sqlx sql execute --datasource dev --command "SELECT current_database()" --command "SELECT 1"
| Database | --type values |
Execution | Required values and defaults |
|---|---|---|---|
| MySQL | mysql |
native worker | port 3306 by default |
| MariaDB | mariadb |
reuses the MySQL worker | port 3306 by default |
| TiDB | tidb |
reuses the MySQL worker | port 4000 by default |
| GreatSQL | greatsql |
reuses the MySQL worker | port 3306 by default |
| OceanBase | oceanbase, ob |
reuses the MySQL worker | port 2881 by default; connect as user@tenant |
| StarRocks | starrocks |
reuses the MySQL worker | port 9030 by default; has no user database until one is created |
| Apache Doris | doris |
reuses the MySQL worker | port 9030 by default; has no user database until one is created |
| PostgreSQL | postgresql, postgres, pgsql |
native worker | port 5432 by default |
| CockroachDB | cockroachdb, cockroach, crdb |
reuses the PostgreSQL worker | |
| YugabyteDB | yugabytedb, yugabyte, yb |
reuses the PostgreSQL worker | port 5433 by default |
| openGauss | opengauss, gaussdb |
JDBC worker | port 5432 by default; authenticates with its own driver |
| Oracle | oracle |
JDBC worker | --service <service-name> is required |
| SQL Server | sqlserver, mssql |
JDBC worker | port 1433 by default |
| ClickHouse | clickhouse |
JDBC worker | connects to the HTTP port, 8123 by default |
| Trino | trino |
JDBC worker | --database <catalog>[.<schema>] is required |
| TDengine | tdengine, taos |
JDBC worker | connects through taosAdapter, 6041 by default |
| Dameng | dameng, dm |
JDBC worker | port 5236 by default; the account is also the default schema |
| KingbaseES | kingbase, kingbasees |
JDBC worker | port 54321 by default |
| Redis | redis |
native worker | port 6379 by default; each --command is one Redis command, not SQL |
| MongoDB | mongodb, mongo |
native worker | port 27017 by default; each --command is one command document, not SQL |
| SQLite | sqlite, sqlite3 |
native worker | --path <file> (or --database) opens or creates a local file; no host, port or credentials; --property mode=ro and --property busy_timeout=<ms> |
| DuckDB | duckdb |
native worker | --path <file> opens or creates a local file, :memory: keeps one for the invocation; --property read_only=true and --property threads=<n> |
| H2 | h2 |
JDBC worker | --path <file> opens a local file, or --host and --port (9092 by default) reach a TCP server |
| Presto | presto, prestodb |
JDBC worker | port 8080 by default; --database <catalog>[.<schema>] is required; --username is required and a password is only sent over TLS |
| Hive | hive |
JDBC worker | port 10000 by default; --database selects the Hive database, default when unset |
| Apache Kylin | kylin |
JDBC worker | port 7070 by default; --database carries the Kylin project, and the default account is ADMIN/KYLIN |
| XuguDB | xugu, xugudb |
JDBC worker | port 5138 by default; SYSTEM is the system database |
| IBM Db2 | db2, ibmdb2 |
JDBC worker | port 50000 by default; needs a driver you provide, see Drivers you provide |
| IBM Informix | informix, ifx |
JDBC worker | port 9088 by default; --service <server-instance> is required and the driver must be provided |
| SUNDB | sundb |
JDBC worker | port 22581 by default; runs the Goldilocks engine and needs the driver from the vendor image |
| GBase 8s | gbase8s, gbasedbt |
JDBC worker | port 9088 by default; --service <server-instance> is required and the driver must be provided |
--id and --datasource accept a stable datasource UUID or its unique name.
To let the user type the password in a local page, so it never enters the conversation or a tool response:
sqlx datasource add --ui --name dev --type postgresql --host db.example.com --port 5432 --database app
sqlx datasource setup-status --request-id <request-id>
To edit an existing connection and keep its saved password unless you replace it: sqlx datasource update --id dev --ui.
Connections do not use TLS unless you ask for it: --tls defaults to disable. Add --tls verify-full to verify the database certificate; a database that serves no certificate your machine trusts then fails with invalid peer certificate: UnknownIssuer (MySQL), error performing TLS handshake (PostgreSQL) or a closed connection (Oracle), which is the usual case for a local container. Either choice is also available as an update:
sqlx datasource add --name dev --type mysql --host 127.0.0.1 --port 3306 --database app \
--username-env DB_USER --password-env DB_PASSWORD # no TLS, the default
sqlx datasource update --id dev --tls verify-full # verify the server certificate
Credentials
Credentials come from named environment variables, hidden interactive prompts, or a connection JSON object on stdin. Never put a literal password in a command argument.
sqlx datasource add --name dev --connection-stdin
{
"database_type": "postgresql",
"host": "localhost",
"port": 5432,
"database": "app",
"service": "",
"username": "example_account",
"password": "replace_with_real_input",
"tls": "disable",
"properties": {}
}
Datasource responses omit usernames, passwords and vendor properties.
Importing connections
A tool that already stores connections can hand all of them over in one versioned document, so a migration never needs a password in a command argument. examples/import-connections.json is a runnable starting point:
sqlx datasource import --stdin < connections.json
{
"version": 1,
"mode": "merge",
"datasources": [
{
"name": "dev",
"connection": {
"database_type": "postgresql",
"host": "localhost",
"port": 5432,
"database": "app",
"username": "example_account",
"password": "replace_with_real_input",
"tls": "disable"
}
}
]
}
Each connection is the same object --connection-stdin accepts. merge (the default) adds new names and updates existing ones in place while keeping their IDs, and it never deletes a stored connection. Every entry is validated on its own, so an unsupported engine or an incomplete connection is reported in skipped with its reason instead of failing the document:
{"success":true,"data":{"mode":"merge","added":1,"updated":0,"unchanged":0,"total":1,"datasources":[{"id":"...","name":"dev","connection":{"database_type":"postgresql"}}],"skipped":[{"name":"legacy","reason":"invalid_connection","detail":"..."}]}}
--dry-run validates and reports without storing anything, --strict refuses the whole document when any entry is invalid, and --file <path> reads the document from a file for callers that cannot pipe stdin. The store is written once, so an import is never half applied.
total counts every connection the import considered: the connections already stored plus the document's entries, including the ones it skipped. With one stored connection and two entries, one of them invalid, the response reports total: 3, added: 1 and one skipped entry.
Commands
| Operation | Command |
|---|---|
| Initialize local storage | sqlx init |
| Create a connection | sqlx datasource add --name dev --type mysql --host localhost --database app --username-env DB_USER --password-env DB_PASSWORD |
| List connections | sqlx datasource list |
| Inspect a connection | sqlx datasource show --id dev |
| Change connection settings | sqlx datasource update --id dev --host db.example.com |
| Import saved connections | sqlx datasource import --stdin |
| Remove a saved connection | sqlx datasource remove --id dev |
| Test connectivity | sqlx datasource test --id dev |
| Execute SQL | sqlx sql execute --datasource dev --command "SELECT 1" --command "SELECT 2" |
| Download workers, the JDBC runtime and the UI ahead of time | sqlx prefetch mysql ui (mariadb, tidb, greatsql, oceanbase, starrocks, doris, postgres, cockroachdb, yugabytedb, opengauss, oracle, sqlserver, clickhouse, trino, presto, hive, kylin, xugu, db2, informix, sundb, gbase8s, tdengine, dameng, kingbase, redis, mongodb, sqlite, duckdb, h2, skill or all; the four engines whose driver you provide fetch the shared runtime only) |
| Install a driver the release cannot ship | sqlx driver add --type db2 --jar <path>, sqlx driver list, sqlx driver remove --type db2 |
| Execute and open a result page | sqlx sql execute --datasource dev --command "SELECT 1" --view |
| Read a stored result | sqlx results list, sqlx results rows --id <result-id> --offset 100 --limit 50 |
| Show or change settings | sqlx setting list, sqlx setting set preview-rows 20, sqlx setting set results-dir ~/sqlx-results |
| Return a large result inline | sqlx sql execute --datasource dev --command "SELECT …" --full |
| Local workbench | sqlx ui, sqlx ui status, sqlx ui stop |
| Create a chart and place it on a dashboard | sqlx analytics chart add --name revenue --datasource dev --command "SELECT month, SUM(revenue) AS revenue FROM sales GROUP BY month" --type line --x month --y revenue --run --dashboard "Sales" (as everywhere else, --sql is accepted as an alias) |
| Run a saved chart's SQL again | sqlx analytics chart run revenue |
| List or delete charts and dashboards | sqlx analytics list, sqlx analytics dashboard add --name "Sales", sqlx analytics remove chart revenue |
| Serve MCP over stdio | sqlx mcp |
| Install the Skill | sqlx skill install --target codex, --target claude, --target dsh or --target pi |
| Install to another skill directory | sqlx skill install --path /path/to/skills/sqlx |
| Inspect and update managed Skills | sqlx skill status, sqlx skill update |
| Stop managing a Skill installation | sqlx skill remove --path /path/to/skills/sqlx (files are kept) |
| Help and version | sqlx --help, sqlx --version |
Execution behavior
Each invocation owns one database connection. Repeated --command arguments execute in order, initially with autocommit, and stop at the first error; there is no implicit all-or-nothing transaction. Temporary tables and session variables do not survive another invocation. Do not submit client directives such as GO, DELIMITER or psql backslash commands.
--command is the current flag and --sql is still accepted as an alias.
Output is one JSON object with one item per executed statement: results[].stmt identifies the statement, cols lists the columns as [name, type] pairs (base64, boolean and json join as a third entry when values are not plain text), rows holds positional values and count holds the driver's row count. Duplicate labels remain distinct. Numbers are encoded as strings to preserve integer and decimal precision, and binary data uses Base64. A failed statement carries its own error with an outcome; statements that never ran are listed in skipped; the object ends with success, which is also the process exit status.
Only a preview travels through standard output. A result set with more rows than preview-rows (10 by default) or more than 16 KiB of values is written completely to results/<id>/<statement>-<result>.jsonl inside the result directory, and its item carries a file path plus the object's id. Read more rows from that file, or page them with sqlx results rows --id <id> --offset 100. The default result directory is a private directory inside the system temporary directory, so results disappear when the machine reboots; sqlx setting set results-dir ~/sqlx-results keeps them, and sqlx setting set results-retention-hours 0 stops the 24-hour cleanup.
A caller that cannot read files needs the whole result in one answer: --full prints every row and stores nothing, sqlx setting set result-mode full makes that the default for this machine, and the MCP tool sqlx_sql_execute takes "full": true for one call. A large result then fills the caller's own output budget, which is why the preview is the default.
--events prints the raw worker event stream instead (protocol_version, datasource_id, events, success) for scripts that parse it, and never stores anything. --preview <rows> overrides the preview size for one call.
Check the final success flag and the exit status, and never replay an uncertain write automatically.
Local pages
Let the user inspect results in a browser and enter the password there.
sqlx sql execute --datasource dev --command "SELECT id, name FROM users ORDER BY id" --view
SQLX executes once and returns a local URL. The page loads the results automatically, supports multiple result sets and pagination, and preserves exact values. Reloading, paging or reopening the page reads the cached result; Refresh on the page reruns the original SQL batch against the database, so any writes in that batch run again. A successful refresh replaces the displayed snapshot at the same URL; a failure keeps the previous result and does not roll back database changes. Results are retained locally for 24 hours.
sqlx ui opens the local workbench, sqlx ui status and sqlx ui stop inspect or stop the service, and --no-open returns a link without launching a browser. The workbench also renders the charts and dashboards created with sqlx analytics (see Local analytics); that command needs no running service. Pages are reachable only on the machine running SQLX, load an HttpOnly browser session automatically, and the service stays up until sqlx ui stop.
Typing the password into the page keeps credentials out of the conversation, but it does not isolate them from an agent that can read files or control the browser as the same operating-system user. See the local UI design for the interface and storage boundaries.
Choose your UI
sqlx ui plugin install --url <plugin-zip-url> --sha256 <published-sha256>
sqlx ui plugin list
sqlx ui plugin use <plugin-id> # default restores the default interface
sqlx ui plugin remove <plugin-id> --version <version>
Installing does not activate a plugin; after selecting it, reload an open page or run sqlx ui. CLI updates keep the version of a plugin you installed and move the default interface to the version of the release, and switching versions needs sqlx ui stop first. Plugins run locally and can access entered credentials and displayed data, so install interfaces from authors you trust: a checksum proves the downloaded bytes are intact, not that the author is trustworthy.
To build your own interface, see the UI plugin guide, the typed browser SDK and the independent terminal UI example. Users need no Node.js runtime.
Pertanyaan tentang SQLX MCP
Bagaimana cara menambahkan SQLX MCP ke Claude Code?
Jalankan claude mcp add sqlx -- docker run -i --rm ghcr.io/ottermind/sqlx:0.1.22 di terminal Anda. Tambahkan --scope user agar tersedia di semua proyek.
Bagaimana cara menambahkan SQLX MCP ke Cursor?
Buka ~/.cursor/mcp.json dan tambahkan server di bawah mcpServers, menggunakan config Cursor yang ditunjukkan di bagian instalasi di atas.
Database apa saja yang didukung?
SQLX mendukung lebih dari 30 database termasuk MySQL, PostgreSQL, Oracle, SQL Server, ClickHouse, MongoDB, Redis, SQLite, dan DuckDB.
Bagaimana kredensial database saya disimpan?
Koneksi disimpan menggunakan enkripsi, dan kredensial tetap tersimpan secara lokal di mesin Anda.
Bisakah saya menggunakan SQLX dengan AI agent?
Ya, SQLX menyediakan plugin dan ekstensi untuk agent seperti Claude Code, Codex, DeepSeek Harness, dan Pi.
Bagaimana cara mencegah password saya muncul di riwayat chat?
Anda dapat menggunakan flag --ui saat menambahkan datasource untuk memungkinkan penginputan password melalui halaman web lokal alih-alih di terminal.