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MSSQL MCP Server

by Nirmal123K

insert_data

Add single or multiple records to MSSQL database tables using SQL INSERT statements with proper column mapping and data type validation.

Instructions

Inserts data into an MSSQL Database table. Supports both single record insertion and multiple record insertion using standard SQL INSERT with VALUES clause. FORMAT EXAMPLES: Single Record Insert: { "tableName": "Users", "data": { "name": "John Doe", "email": "john@example.com", "age": 30, "isActive": true, "createdDate": "2023-01-15" } } Multiple Records Insert: { "tableName": "Users", "data": [ { "name": "John Doe", "email": "john@example.com", "age": 30, "isActive": true, "createdDate": "2023-01-15" }, { "name": "Jane Smith", "email": "jane@example.com", "age": 25, "isActive": false, "createdDate": "2023-01-16" } ] } GENERATED SQL FORMAT:

  • Single: INSERT INTO table (col1, col2) VALUES (@param1, @param2)

  • Multiple: INSERT INTO table (col1, col2) VALUES (@param1, @param2), (@param3, @param4), ... IMPORTANT RULES:

  • For single record: Use a single object for the 'data' field

  • For multiple records: Use an array of objects for the 'data' field

  • All objects in array must have identical column names

  • Column names must match the actual database table columns exactly

  • Values should match the expected data types (string, number, boolean, date)

  • Use proper date format for date columns (YYYY-MM-DD or ISO format)

Input Schema

NameRequiredDescriptionDefault
dataYes
tableNameYesName of the table to insert data into

Input Schema (JSON Schema)

{ "properties": { "data": { "oneOf": [ { "description": "Single record data object with column names as keys and values as the data to insert. Example: {\"name\": \"John\", \"age\": 30}", "type": "object" }, { "description": "Array of data objects for multiple record insertion. Each object must have identical column structure. Example: [{\"name\": \"John\", \"age\": 30}, {\"name\": \"Jane\", \"age\": 25}]", "items": { "type": "object" }, "type": "array" } ] }, "tableName": { "description": "Name of the table to insert data into", "type": "string" } }, "required": [ "tableName", "data" ], "type": "object" }

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