Connect your AI Tools
with your SQL Server

Most Microsoft SQL Server MCP setups run locally, so only the person who installed them can use them.

• A stable HTTPS endpoint your whole team and every AI client can reach
• No local installs, no Node or Docker on each machine, no version drift
• Managed uptime, logs, versioning and rate limits included
• Works the same from Claude, ChatGPT, Copilot, Cursor or your own agent

Database access for agents needs real authentication, not a connection string pasted into a config file.

• Every endpoint is protected out of the box with OAuth 2.0, API keys or our own auth
• Microsoft SQL Server credentials stay on the server and are never handed to the AI client
• Per user and per client access, revocable at any time
• Full audit trail of which tool was called, by whom and with which parameters

Exposing a whole database as one generic query tool floods the model context and makes answers unreliable.

• You publish the few usecase tools your agents actually need
• Small, typed inputs and clean responses keep the context window free for reasoning
• Fewer wrong queries, faster answers and lower token cost
• Schemas, filters and limits are enforced server side, not suggested to the model

Requirements move, and your MCP server should move with them without a new deployment.

• Add, adjust or retire tools in the builder and publish in seconds
• Test every tool against your live database before it goes out
• Keep the server read only or open specific writes step by step
• One server can serve several teams with different tool sets and permissions