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Connect AI to Microsoft SQL Server for schema queries and CRUD operations.
The main exposure comes from its normal capability to run locally and perform read/write operations against Microsoft SQL Server databases, which fits a caution rating rather than high risk. A positive factor is that the source is publicly auditable, but the missing license, zero community adoption, and unknown maintenance limit supply-chain confidence.
The material does not declare any API key, token, or environment variable requirements, and no explicit credential-harvesting design is shown. Note that connecting to SQL Server would typically still involve database credentials in real deployment, but the documentation provides no details.
Although no fixed remote endpoint is declared, its stated function is to interact with Microsoft SQL Server databases, which implies sending queries and data requests to user-configured database hosts. This kind of targeted database communication is normal for such a tool, and there is no evidence of exfiltration to unrelated third parties in the material.
The objective checks indicate that it executes code, meaning the MCP service runs locally as a process and handles database operation requests. This is normal execution surface for an MCP tool, and the material does not show extra privileged system actions or suspicious command-execution features.
The description explicitly supports table listing, schema retrieval, and CRUD, meaning it can read database structure and contents and also create, modify, and delete records. This gives it significant operational access over the connected database, so it should be restricted to least-privilege accounts and only necessary databases/tables.
The public source repository is a positive factor because it is auditable; however, the source is a third-party registry entry, the README is absent, the license is unspecified, community adoption is 0 stars, and maintenance status is unknown. This limits confidence in usability and long-term trustworthiness, so manual source and dependency review is advisable first.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-mssql" yet — see the docs or source repo.
Connect to the specified Microsoft SQL Server database, list all tables, and show the columns, types, primary keys, and foreign key relationships for the customers and orders tables.
A list of database tables plus detailed schema information for customers and orders.
Based on the current database schema, write a SQL query to calculate sales revenue, order count, and average order value by region for the last 30 days, sorted by revenue descending.
An executable SQL query with a brief explanation of the fields and aggregation logic.
In the products table, update all items with inventory 0 and status active to inactive; first tell me how many records will be affected, then perform the update.
First return the estimated affected row count, then execute the update and report the result.
Connect to Microsoft SQL Server to query data, inspect schemas, and run procedures.
Safely let AI query MS SQL Server in read-only mode.
Connect to Microsoft SQL Server for safe schema exploration and read-only queries.
Safely let AI agents explore and query SQL Server databases read-only.
Connect to MySQL and PostgreSQL and run SQL queries dynamically.
Securely inspect and query SQL Server databases for analysis and troubleshooting.