ClawHub

Mssql Toolkit

Integrations

Query and explore Microsoft SQL Server databases using sqlcmd. Schema inspection, ad-hoc T-SQL queries, data analysis. Works with any MSSQL/SQL Server instance.

Install

openclaw skills install @fchrulk/mssql-toolkit

MSSQL Toolkit

Query and explore Microsoft SQL Server databases using sqlcmd.

Setup

Environment Variables

Set these in your OpenClaw .env file:

MSSQL_HOST=your-server,port    # e.g., 10.0.0.1,1433
MSSQL_USER=your_username
MSSQL_PASSWORD=your_password
MSSQL_DB=your_database

sqlcmd Path

If sqlcmd is in your PATH, use it directly. If installed at a non-standard location, set:

MSSQL_SQLCMD=/opt/mssql-tools18/bin/sqlcmd

If MSSQL_SQLCMD is not set, default to sqlcmd.

Connection Command

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "YOUR_QUERY"

Required Flags

  • -C trust server certificate (always required for modern MSSQL)
  • -Q run query and exit
  • -W remove trailing whitespace

Useful Flags

  • -s "," comma column separator (CSV-like output)
  • -w 999 wide output (prevent line wrapping)
  • -h -1 hide column headers (for scripting)

Schema Inspection

List all schemas

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT DISTINCT TABLE_SCHEMA FROM INFORMATION_SCHEMA.TABLES ORDER BY TABLE_SCHEMA"

List all tables (with schema)

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT TABLE_SCHEMA, TABLE_NAME FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_TYPE='BASE TABLE' ORDER BY TABLE_SCHEMA, TABLE_NAME"

Search tables by keyword

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT TABLE_SCHEMA, TABLE_NAME FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_TYPE='BASE TABLE' AND TABLE_NAME LIKE '%KEYWORD%' ORDER BY TABLE_SCHEMA, TABLE_NAME"

Describe table columns

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT COLUMN_NAME, DATA_TYPE, CHARACTER_MAXIMUM_LENGTH, IS_NULLABLE FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA='SCHEMA' AND TABLE_NAME='TABLE' ORDER BY ORDINAL_POSITION"

Row count

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT COUNT(*) AS row_count FROM schema_name.table_name"

Sample rows

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT TOP 5 * FROM schema_name.table_name"

List indexes

${MSSQL_SQLCMD:-sqlcmd} -S $MSSQL_HOST -U $MSSQL_USER -P $MSSQL_PASSWORD -d $MSSQL_DB -C -W -Q "SELECT i.name AS index_name, i.type_desc, STRING_AGG(c.name, ', ') AS columns FROM sys.indexes i JOIN sys.index_columns ic ON i.object_id = ic.object_id AND i.index_id = ic.index_id JOIN sys.columns c ON ic.object_id = c.object_id AND ic.column_id = c.column_id WHERE i.object_id = OBJECT_ID('schema_name.table_name') GROUP BY i.name, i.type_desc"

Query Patterns

Aggregation

SELECT department, COUNT(*) AS cnt, SUM(amount) AS total
FROM schema_name.table_name
GROUP BY department
HAVING SUM(amount) > 1000
ORDER BY total DESC;

CTE (Common Table Expression)

WITH monthly AS (
    SELECT
        YEAR(created_at) AS yr,
        MONTH(created_at) AS mo,
        SUM(amount) AS total
    FROM schema_name.table_name
    GROUP BY YEAR(created_at), MONTH(created_at)
)
SELECT * FROM monthly ORDER BY yr, mo;

Window Functions

SELECT *,
    ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank,
    SUM(salary) OVER (PARTITION BY department) AS dept_total
FROM schema_name.table_name;

Date Filtering

-- Today
WHERE CAST(date_column AS DATE) = CAST(GETDATE() AS DATE)

-- This month
WHERE YEAR(date_column) = YEAR(GETDATE()) AND MONTH(date_column) = MONTH(GETDATE())

-- Last 7 days
WHERE date_column >= DATEADD(DAY, -7, GETDATE())

-- Date range
WHERE date_column BETWEEN '2026-01-01' AND '2026-01-31'

PIVOT

SELECT *
FROM (
    SELECT category, region, revenue
    FROM schema_name.table_name
) AS src
PIVOT (
    SUM(revenue) FOR region IN ([North], [South], [East], [West])
) AS pvt;

Safety Rules

  1. READ-ONLY by default — only run SELECT unless the user explicitly asks to modify data
  2. Always use TOP or OFFSET-FETCH — never run unbounded SELECT * on large tables
  3. Never expose credentials — never print, echo, or cat any env var values or connection strings
  4. Never run DROP, DELETE, TRUNCATE, or ALTER without explicit user confirmation
  5. Use transactions for any write operations: BEGIN TRAN ... COMMIT / ROLLBACK
  6. Always include ORDER BY with TOP to ensure deterministic results
  7. Always qualify table names with schema — use schema_name.table_name, not just table_name
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