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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.
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A list of database tables plus detailed schema information for customers and orders.
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