Ermöglicht es AI-Agents, mehrere SQL Server Instanzen zu verwalten, Index-Audits durchzuführen, Ausführungspläne zu analysieren und Abfragen über gruppierte Verbindungen hinweg auszuführen.
Auch bekannt als cvelasquez/mcp-sqlserver, mcp-sqlserver, @cevelas/mcp-sqlserver
- Stars
- 3
- Tools
- 8
- Downloads, 30 Tage
- 382
- Neueste Version
- 3.3.0
- Letzter Commit
- 12. Okt. 2026
- Lizenz
- MIT
Was ist SQL MCP?
SQL ist ein MCP server. Ermöglicht es AI-Agents, mehrere SQL Server Instanzen zu verwalten, Index-Audits durchzuführen, Ausführungspläne zu analysieren und Abfragen über gruppierte Verbindungen hinweg auszuführen. Er stellt 8 Tools bereit, etwa list_connections, reload_connections, query.
Zusammenfassung generiert aus dem README des Projekts
Über SQL MCP server
Datenbankadministratoren und Consultants, die Dutzende von SQL Server Instanzen verwalten, können dieses Tool nutzen, um mehrere Umgebungen über eine einzige Schnittstelle zu überwachen. Anstatt für jede Datenbank einzelne Connection Strings zu konfigurieren, pflegst du eine zentrale connections.json Datei, in der die Instanzen mittels connectionGroup nach Client oder Umgebung organisiert sind. Dies ermöglicht es einem AI-Agent, sofort zwischen verschiedenen Servern zu wechseln, ohne dass die Client-Anwendung neu gestartet werden muss.
User können tiefgehende technische Analysen mit spezialisierten Tools wie get_execution_plan für Performance-Tuning, get_indexes für das Auditing von Tabellenlayouts und get_stored_procedure zur Inspektion von Quellcode durchführen. Der Server unterstützt verschiedene Authentifizierungsmethoden, einschließlich NTLM und Entra ID. Um versehentliche Datenänderungen zu verhindern, kannst du eine readOnly Einstellung für spezifische Verbindungen aktivieren, die Write-Statements ablehnt, noch bevor sie deine Maschine verlassen. Das System ist für das Management in großem Maßstab ausgelegt und liefert in jeder Response Metadaten mit, sodass der Agent immer genau weiß, welcher Server die Daten bereitgestellt hat.
Was du damit machen kannst
- 1Langsame Stored Procedures troubleshootenBitte den Agenten, zu untersuchen, warum eine bestimmte Prozedur eine schlechte Performance hat, indem er den Quellcode und den Ausführungsplan analysiert.
- 2Datenbank-Schemas über Umgebungen hinweg vergleichenFordere einen Vergleich der Tabellenstrukturen zwischen einer Production-Instanz und einer QA-Instanz an.
- 3Tabellen-Indizes auditierenIdentifiziere, welche Indizes auf einer bestimmten Tabelle nicht für Covering Queries genutzt werden.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du SQL MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenSQL MCP in Claude Code installieren
$ claude mcp add --env 'MSSQL_MCP_CONNECTIONS_JSON=<YOUR_MSSQL_MCP_CONNECTIONS_JSON>' mcp-sqlserver -- npx -y @cevelas/mcp-sqlserverSQL MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"mcp-sqlserver": {
"command": "npx",
"args": [
"-y",
"@cevelas/mcp-sqlserver"
],
"env": {
"MSSQL_MCP_CONNECTIONS_JSON": "<YOUR_MSSQL_MCP_CONNECTIONS_JSON>"
}
}
}
}SQL MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"mcp-sqlserver": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cevelas/mcp-sqlserver"
],
"env": {
"MSSQL_MCP_CONNECTIONS_JSON": "<YOUR_MSSQL_MCP_CONNECTIONS_JSON>"
}
}
}
}SQL MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"mcp-sqlserver","type":"stdio","command":"npx","args":["-y","@cevelas/mcp-sqlserver"],"env":{"MSSQL_MCP_CONNECTIONS_JSON":"<YOUR_MSSQL_MCP_CONNECTIONS_JSON>"}}'SQL MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"mcp-sqlserver": {
"command": "npx",
"args": [
"-y",
"@cevelas/mcp-sqlserver"
],
"env": {
"MSSQL_MCP_CONNECTIONS_JSON": "<YOUR_MSSQL_MCP_CONNECTIONS_JSON>"
}
}
}
}SQL MCP in Codex installieren
$ codex mcp add mcp-sqlserver --env 'MSSQL_MCP_CONNECTIONS_JSON=<YOUR_MSSQL_MCP_CONNECTIONS_JSON>' -- npx -y @cevelas/mcp-sqlserverSQL MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.mcp-sqlserver] command = "npx" args = ["-y", "@cevelas/mcp-sqlserver"] [mcp_servers.mcp-sqlserver.env] MSSQL_MCP_CONNECTIONS_JSON = "<YOUR_MSSQL_MCP_CONNECTIONS_JSON>"
SQL MCP in Gemini CLI installieren
$ gemini mcp add -s user -e 'MSSQL_MCP_CONNECTIONS_JSON=<YOUR_MSSQL_MCP_CONNECTIONS_JSON>' mcp-sqlserver npx -- -y @cevelas/mcp-sqlserverSQL MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"mcp-sqlserver": {
"command": "npx",
"args": [
"-y",
"@cevelas/mcp-sqlserver"
],
"env": {
"MSSQL_MCP_CONNECTIONS_JSON": "<YOUR_MSSQL_MCP_CONNECTIONS_JSON>"
}
}
}
}SQL MCP tools 8
Erkannt aus dem READMElist_connectionsreload_connectionsqueryget_schemaget_indexesget_execution_planget_stored_procedureformat
| list_connections | — | |
| reload_connections | — | |
| query | — | |
| get_schema | — | |
| get_indexes | — | |
| get_execution_plan | — | |
| get_stored_procedure | — | |
| format | — |
Konfiguration
MSSQL_MCP_CONNECTIONS_JSONSecretThe connections JSON inline, for setups that keep credentials out of the filesystem.
MSSQL_MCP_CONNECTIONSPath to connections.json. Defaults to ~/.mcp-sqlserver/connections.json; create one with --init.
MSSQL_TEST_CONNECTION
| Name | Beschreibung | Typ |
|---|---|---|
| MSSQL_MCP_CONNECTIONS_JSON | The connections JSON inline, for setups that keep credentials out of the filesystem. | Secret |
| MSSQL_MCP_CONNECTIONS | Path to connections.json. Defaults to ~/.mcp-sqlserver/connections.json; create one with --init. | |
| MSSQL_TEST_CONNECTION | — |
Automatisierte Checks
Geluften am 13. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarcvelasquez/mcp-sqlserver is public and reachablegithub.com/cvelasquez/mcp-sqlserver ↗Bestanden
- Paket nennt dieses Repository als Quelle@cevelas/mcp-sqlserver names cvelasquez/mcp-sqlserver as sourcenpmjs.com/package/@cevelas/mcp-sqlserver ↗Bestanden
- Build-Provenienz (Sigstore-Attestierung)Sigstore attestation for @cevelas/mcp-sqlservernpmjs.com/package/@cevelas/mcp-sqlserver/v/3.3.0#provenance ↗Bestanden
- Open Source Lizenz (OSI)MITspdx.org/licenses/MIT.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-10-12github.com/cvelasquez/mcp-sqlserver ↗Bestanden
- OpenSSF ScorecardNicht geprüft
- Package-Name ähnelt keinem populären PackageNo popular package one edit away from @cevelas/mcp-sqlserverBestanden
- Keine kritischen Advisories im Paket oder seinen Abhängigkeiten169 resolved dependencies checked; no critical advisoryosv.dev ↗Bestanden
- Keine versteckten Anweisungen an das Modell8 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNo tool named like delete, drop or execBestanden
- Remote-Endpoint beantwortet den MCP-HandshakeNicht geprüft
README
Auf GitHub ansehenSQL Server MCP for people who manage dozens of instances
One MCP entry, every SQL Server you administer. Connections live in a single
connections.json, grouped by client or environment, hot-reloaded without
restarting your AI agent — plus execution plans, index audits and
stored-procedure analysis.
Built for DBAs and consultants, not for a demo against a single localhost database.
Install
Add this to your AI agent's MCP configuration:
{
"mcpServers": {
"sqlserver": {
"command": "npx",
"args": ["-y", "@cevelas/mcp-sqlserver"]
}
}
}
Then create your connections file and restart the agent:
npx -y @cevelas/mcp-sqlserver --init
That writes ~/.mcp-sqlserver/connections.json from a commented template. Edit
it, and ask your agent to "list all SQL Server connections".
Needs Node.js 22 or newer.
| Agent | Config file |
|---|---|
| Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json |
| Claude Desktop (macOS) | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Claude Code | claude mcp add sqlserver -- npx -y @cevelas/mcp-sqlserver |
| VS Code / Copilot | .vscode/mcp.json |
| Cursor | ~/.cursor/mcp.json |
Any MCP-compatible agent works — ChatGPT, Gemini, Copilot, Cline, Zed and
others all take the same command / args pair.
Why this one
Most SQL Server MCP servers take a single connection string. That is fine for one database. It falls apart when you administer thirty across eight clients, because every instance needs its own entry in the agent config, its own credentials, and its own restart when something changes.
| Single-DSN servers | This one | |
|---|---|---|
| Instances per MCP entry | 1 | all of them |
| Organised by client or environment | — | connectionGroup |
| Add or change a connection | edit agent config, restart | edit a file, reload_connections |
| Which server answered? | you assume | in every response's metadata |
Beyond SELECT |
— | execution plans, index layout, SP source |
| Read-only safety rail | — | "readOnly": true per connection |
Connections
{
"connections": [
{
"name": "acme-prod",
"connectionGroup": "Acme Corp",
"description": "Production - head office",
"server": "192.168.1.10\\SQLEXPRESS",
"database": "AcmeDB_Prod",
"user": "app_reader",
"password": "${env:ACME_PROD_PASSWORD}",
"port": 1433,
"encrypt": true,
"trustServerCertificate": false,
"readOnly": true
}
]
}
| Field | Required | Notes |
|---|---|---|
name |
yes | Unique; this is what you say to the agent |
server |
yes | Hostname, IP, or host\instance |
connectionGroup |
no | Client, project or environment. Groups the listing |
description |
no | Shown in list_connections and in every response |
database |
no | Defaults to the login's default database |
user, password |
no | Omit for domain or Entra ID auth |
port |
no | Defaults to 1433 |
encrypt, trustServerCertificate |
no | encrypt defaults to true |
readOnly |
no | Rejects writing statements — see below |
Anything else you put here is passed straight to mssql,
so requestTimeout, connectionTimeout, pool, authentication and a nested
options object all work.
Keeping passwords out of the file
Any string may reference an environment variable:
"password": "${env:ACME_PROD_PASSWORD}"
A connection that references a variable you have not set is disabled, and
list_connections names both the connection and the missing variable. Leaving
the literal in place would only move the failure to connect time, where it
arrives as Login failed for user and tells you nothing.
You can also skip the file entirely and pass the whole thing through the agent config, which keeps credentials in one place with the rest of your MCP secrets:
{
"mcpServers": {
"sqlserver": {
"command": "npx",
"args": ["-y", "@cevelas/mcp-sqlserver"],
"env": {
"MSSQL_MCP_CONNECTIONS_JSON": "{\"connections\":[{\"name\":\"prod\",\"server\":\"10.0.0.1\",\"database\":\"App\",\"user\":\"reader\",\"password\":\"...\"}]}"
}
}
}
}
Where the file is looked for
In order, first hit wins:
--connections <path>$MSSQL_MCP_CONNECTIONS— a path$MSSQL_MCP_CONNECTIONS_JSON— the JSON itself, inline./connections.jsonin the working directory~/.mcp-sqlserver/connections.jsonconnections.jsonnext to the installed package
A path given explicitly via 1 or 2 that does not exist is an error — the server will not quietly fall back to a different file and talk to the wrong database.
Checking every connection at once
npx -y @cevelas/mcp-sqlserver --check
Connects to every entry in parallel, runs SELECT 1, and lists which ones
fail and why. Exits non-zero if any did, so it works in a scheduled task.
Useful after a password rotation, or before blaming the agent.
Windows domain and Entra ID authentication
The bundled tedious driver supports NTLM and the Entra ID (Azure AD) family.
Add domain for NTLM:
{
"name": "warehouse",
"server": "dwh.corp.local",
"database": "DWH",
"domain": "CORP",
"user": "svc_analytics",
"password": "${env:DWH_PASSWORD}"
}
{
"name": "azure-sql",
"server": "myserver.database.windows.net",
"database": "reporting",
"encrypt": true,
"authentication": {
"type": "azure-active-directory-password",
"options": { "userName": "${env:AZURE_USER}", "password": "${env:AZURE_PASSWORD}" }
}
}
Fully integrated auth — a trusted connection with no password at all — needs
the native msnodesqlv8 driver, which is not bundled because it would break
the one-line install on machines without a build toolchain. NTLM with an
explicit service account is the supported path.
Tools
| Tool | Arguments | What it does |
|---|---|---|
list_connections |
— | Every connection, grouped |
reload_connections |
— | Re-read the file, drop open pools |
query |
connection, sql, maxRows?, format? |
Run a query |
get_schema |
connection, table? |
Columns, types, nullability, defaults |
get_indexes |
connection, table |
Indexes, types, key and included columns |
get_execution_plan |
connection, sql |
SHOWPLAN_XML — the plan, without running the query |
get_stored_procedure |
connection, name |
Source of a stored procedure |
Every response carries the connection it came from:
{
"metadata": {
"connection": "acme-prod",
"connectionGroup": "Acme Corp",
"description": "Production - head office",
"server": "192.168.1.10\\SQLEXPRESS",
"database": "AcmeDB_Prod"
},
"data": [ ... ]
}
With thirty connections in play, that line is what tells you the answer came from the client you meant.
Query results that fit in a context window
An agent that runs SELECT * FROM Orders does not need four million rows, and
neither does its context window.
- Row cap.
queryreturns at most 1000 rows across all result sets.maxRowschanges that, up to 10000. When the cap is hit the query is cancelled on the server, not trimmed afterwards. - A truncated result says so, first. The response opens with
"truncated": trueand a note stating that more rows exist, that the total is unknown, and how to get it. It sits before the rows on purpose: a 10000-row response runs to hundreds of KB, and a client that cuts long output keeps the beginning. An agent must never conclude "the table has 10000 rows" from a capped result. Asking for more than 10000 is not an error — the cap is lowered to 10000, and if rows were left out the note says what was asked for. format: "csv". JSON repeats every column name on every row. Withcsvthe response is one JSON header line with the metadata, a blank line, then the rows.NULLis an empty cell and an empty string is"", so the two stay distinguishable.- Server messages.
PRINToutput andSET STATISTICS IO, TIME ONresults come back inmessages, so the agent can read logical reads and CPU time instead of guessing. - Every result set. A batch with several
SELECTs returns them all inrecordsets.datais still the first one. - Binary columns come back as hex (
0x8f3a...), truncated after 64 bytes, instead of a JSON array with one number per byte.
rowCount is always present; truncated, messages and recordsets only
appear when they have something to say. Responses are compact JSON.
What this gets you
Things that are tedious by hand and become one sentence to the agent:
- "Why is this stored procedure slow?" —
get_stored_procedurefor the source,get_execution_planfor the plan,get_indexesfor what is missing. - "Compare the Orders schema between acme-prod and acme-qa" —
get_schemaon both, agent diffs them. - "Which indexes on this table are never covering anything?" —
get_indexesplus the queries you care about. - "I added a client to connections.json" —
reload_connections, no restart.
Read-only connections
"readOnly": true
Rejects INSERT, UPDATE, DELETE, MERGE, DROP, TRUNCATE, ALTER,
CREATE, GRANT, EXEC, BACKUP, DBCC, OPENQUERY, DISABLE/ENABLE
and friends before the query leaves your machine. It also requires the batch to
start with something that reads — SELECT, WITH, DECLARE, SET, IF
and so on — because T-SQL lets you call a procedure without EXEC, and
sp_rename 'dbo.Users','Users_old' contains no blocked keyword at all.
String literals, comments and bracketed identifiers are ignored, so
WHERE note = 'please delete this', SELECT [delete] FROM [Audit] and
DECLARE @Create DATETIME all pass. get_execution_plan still works, because
SHOWPLAN_XML returns the plan without executing anything.
Anything other than an explicit false turns the guard on — a hand-written
"readOnly": "false" locks the connection down rather than silently opening
it, and says so in list_connections.
This is a guard rail, not a security boundary. It stops an agent from
"helpfully" fixing a row in production. It will not stop someone determined to
write. The real protection is a SQL login that only has db_datareader:
CREATE LOGIN mcp_reader WITH PASSWORD = '...';
CREATE USER mcp_reader FOR LOGIN mcp_reader;
ALTER ROLE db_datareader ADD MEMBER mcp_reader;
GRANT VIEW DEFINITION TO mcp_reader; -- for get_stored_procedure
GRANT SHOWPLAN TO mcp_reader; -- for get_execution_plan
Use both.
Security notes
connections.jsonholds credentials. Keep it out of version control — the bundled.gitignorecoversconnections*.json.- Prefer
${env:VAR}over literal passwords. - Give each connection the least privilege it needs. Do not use
sa. - Restrict file permissions:
icacls connections.json /inheritance:r /grant:r "%USERNAME%:F"on Windows,chmod 600 connections.jsonelsewhere. - The
querytool runs whatever SQL the agent writes. That is the point of the tool — treat the connection's permissions as the boundary, not the tool.
Web UI
web/connections.html is a standalone page for editing connections.json
without hand-writing JSON: drag and drop between groups, duplicate a
connection, autocompleting group selector, and auto-save through the File
System Access API in Chrome and Edge. No build, no dependencies, entirely
optional. See web/README.md.
Claude Desktop one-click install
Grab the .mcpb bundle from the
latest release
and drag it onto Claude Desktop's extensions settings. Point it at your
connections.json in the extension's settings, or leave that empty to use
~/.mcp-sqlserver/connections.json.
Upgrading from 2.x
Your existing connections.json works unchanged — every new field is optional
and the tools take the same arguments. Two things worth knowing:
- Multi-connection was broken before 3.0. The server used the
mssqlglobal connection pool, which ignores the config it is handed once a connection is already open. In practice every connection after the first silently reused the first one's server and database. If you were relying on results from more than one connection in a session, they may not have come from where you thought. Fixed in 3.0 with a pool per connection. - If your agent config points at
node C:\path\to\index.js, that still works. The file resolution order now checks that path last, so nothing moves.
Development
npm install
npm test # unit tests, no database needed
node .github/scripts/smoke.mjs # packs, installs and speaks MCP to the tarball
Against a real server, name a connection from your own file:
MSSQL_TEST_CONNECTION=local npm run test:integration
The mssql driver is injected, so the unit tests mock only that boundary —
everything else is the real code path. test/contract.test.js freezes the tool
names and arguments so a refactor cannot change the MCP surface by accident.
License
MIT — see LICENSE.
Author
Christian Velasquez — @cvelasquez
SQL MCP Fragen
Wie füge ich SQL MCP zu Claude Code hinzu?
Führe claude mcp add --env 'MSSQL_MCP_CONNECTIONS_JSON=<YOUR_MSSQL_MCP_CONNECTIONS_JSON>' mcp-sqlserver -- npx -y @cevelas/mcp-sqlserver in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich SQL MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Welche Tools bietet SQL MCP?
Er stellt 8 Tools bereit, darunter list_connections, reload_connections, query, get_schema, get_indexes.
Wie verwalte ich mehrere SQL Server Verbindungen?
Verbindungen werden in einer einzigen connections.json Datei gespeichert, die nach Client oder Umgebung gruppiert werden kann und per Hot-Reload ohne Neustart des Agents aktualisiert wird.
Was passiert, wenn eine Abfrage zu viele Zeilen zurückgibt?
Der Server begrenzt die Ergebnisse standardmäßig auf 1000 Zeilen (bis zu 10000 via maxRows) und bricht die Abfrage auf dem Server ab, falls das Limit erreicht wird, um Platz im Context Window zu sparen.