Skip to content

SQL Server

Connect HolmesGPT to Microsoft SQL Server databases to analyze query execution plans, investigate performance issues, check index fragmentation, examine database health, and read data for troubleshooting.

You can configure multiple SQL Server instances with different names (e.g., sqlserver-prod, sqlserver-analytics, sqlserver-staging).

Creating a Read-Only User

-- Create SQL Server login
CREATE LOGIN holmes_readonly WITH PASSWORD = 'Your_Secure_Password123!';

-- Connect to target database
USE your_database;

-- Create database user
CREATE USER holmes_readonly FOR LOGIN holmes_readonly;

-- Grant read-only access
ALTER ROLE db_datareader ADD MEMBER holmes_readonly;

-- Grant view server state for DMVs and performance monitoring
GRANT VIEW SERVER STATE TO holmes_readonly;
GRANT VIEW DATABASE STATE TO holmes_readonly;
GRANT VIEW DEFINITION TO holmes_readonly;

For Azure SQL Database, see the Azure SQL Database section below.

Configuration

~/.holmes/config.yaml:

toolsets:
  sqlserver-prod:
    type: database
    config:
      connection_url: "mssql+pytds://holmes_readonly:Your_Secure_Password123!@sqlserver.example.com:1433/mydb"
    llm_instructions: "Production SQL Server database with application data"

  sqlserver-analytics:
    type: database
    config:
      connection_url: "mssql+pytds://analyst:pass@analytics-sql.internal:1433/analytics"
    llm_instructions: "Analytics SQL Server for reporting and BI"

Using environment variables:

toolsets:
  sqlserver-prod:
    type: database
    config:
      connection_url: "{{ env.SQLSERVER_URL }}"

Connection URL format:

mssql+pytds://[username]:[password]@[host]:[port]/[database]

Plain mssql:// URLs and legacy mssql+pymssql:// URLs are automatically rewritten to use the pytds driver.

TLS encryption:

Encryption is controlled by the verify_ssl option (default: true). When true, connections use TLS with certificate verification — this is what Azure SQL and other TLS-enforcing servers need. Set it to false for servers with self-signed certificates, which disables TLS entirely:

toolsets:
  sqlserver-dev:
    type: database
    config:
      connection_url: "mssql+pytds://user:pass@server:1433/db"
      verify_ssl: false  # self-signed certificate

Servers with an internal or private CA:

If your SQL Server's certificate is issued by a private CA, keep verify_ssl: true and add the CA to Holmes's trust store with the base64-encoded certificate Helm value (the CERTIFICATE environment variable). This keeps connections encrypted and verified, and applies to every Holmes integration, not just this toolset:

base64 -w0 internal-ca.pem   # value for the setting below
# values.yaml
certificate: "<base64-encoded CA certificate>"

Servers that require encryption cannot be reached with verify_ssl: false, so this is the correct option for a private-CA deployment.

Step 1: Create secret with credentials

kubectl create secret generic sqlserver-credentials \
  --from-literal=url='mssql+pytds://holmes_readonly:Your_Secure_Password123!@sqlserver.example.com:1433/mydb' \
  -n holmes

Step 2: Configure in values.yaml

additionalEnvVars:
  - name: SQLSERVER_URL
    valueFrom:
      secretKeyRef:
        name: sqlserver-credentials
        key: url

toolsets:
  sqlserver-prod:
    type: database
    config:
      connection_url: "{{ env.SQLSERVER_URL }}"
    llm_instructions: "Production SQL Server database with application data"

Multiple instances:

additionalEnvVars:
  - name: PROD_SQLSERVER_URL
    valueFrom:
      secretKeyRef:
        name: sqlserver-prod
        key: url
  - name: ANALYTICS_SQLSERVER_URL
    valueFrom:
      secretKeyRef:
        name: sqlserver-analytics
        key: url

toolsets:
  sqlserver-prod:
    type: database
    config:
      connection_url: "{{ env.PROD_SQLSERVER_URL }}"

  sqlserver-analytics:
    type: database
    config:
      connection_url: "{{ env.ANALYTICS_SQLSERVER_URL }}"

Step 1: Create secret with credentials

kubectl create secret generic sqlserver-credentials \
  --from-literal=url='mssql+pytds://holmes_readonly:Your_Secure_Password123!@sqlserver.example.com:1433/mydb' \
  -n default

Step 2: Configure in values.yaml

holmes:
  additionalEnvVars:
    - name: SQLSERVER_URL
      valueFrom:
        secretKeyRef:
          name: sqlserver-credentials
          key: url

  toolsets:
    sqlserver-prod:
      type: database
      config:
        connection_url: "{{ env.SQLSERVER_URL }}"
      llm_instructions: "Production SQL Server database with application data"

Multiple instances:

holmes:
  additionalEnvVars:
    - name: PROD_SQLSERVER_URL
      valueFrom:
        secretKeyRef:
          name: sqlserver-prod
          key: url
    - name: ANALYTICS_SQLSERVER_URL
      valueFrom:
        secretKeyRef:
          name: sqlserver-analytics
          key: url

  toolsets:
    sqlserver-prod:
      type: database
      config:
        connection_url: "{{ env.PROD_SQLSERVER_URL }}"

    sqlserver-analytics:
      type: database
      config:
        connection_url: "{{ env.ANALYTICS_SQLSERVER_URL }}"

Azure SQL Database

Azure SQL Database works with this toolset over SQL authentication. Create a contained database user (Azure SQL does not use server-level logins for this):

-- Run in the target database
CREATE USER holmes_readonly WITH PASSWORD = 'Your_Secure_Password123!';

ALTER ROLE db_datareader ADD MEMBER holmes_readonly;
GRANT VIEW DATABASE STATE TO holmes_readonly;
GRANT VIEW DEFINITION TO holmes_readonly;

Then configure the connection:

toolsets:
  azure-sql-prod:
    type: database
    config:
      connection_url: "mssql+pytds://holmes_readonly:Your_Secure_Password123!@yourserver.database.windows.net:1433/mydb"
    llm_instructions: "Production Azure SQL database with application data"

Configuration Options

  • connection_url (required): SQL Server connection URL
  • read_only (default: true): Only allow SELECT/SHOW/DESCRIBE/EXPLAIN/WITH statements
  • verify_ssl (default: true): Connect with TLS and certificate verification (required by Azure SQL). Set to false to disable TLS for servers with self-signed certificates
  • max_rows (default: 200): Maximum rows to return (1-10000)
  • llm_instructions: Context about this database

Common Use Cases

"Analyze execution plan for: SELECT * FROM Orders WHERE CustomerId = 123"
"Show database size and file growth settings"
"Check for missing indexes on frequently queried tables"