SQL Server MCP Server Generator for AI Agents

Give Claude, ChatGPT, Copilot, Cursor and your own agents safe access to SQL Server or Azure SQL through named tools instead of a raw connection. APIGenerator reads your schema and generates an MCP server with row rules, keys and a log of every call.

Source

Output

Ready in about 30 s

Or start from

Your files are parsed in your browser and never uploaded.
Code export on every plan. You own what you generate.

Your generated API

https://clinic.apigenerator.ai

Request

Response

Create your account to see every resource, run the tests, export the code and deploy this API.

Why a connection string is the wrong way to connect agents to SQL Server

SQL Server usually holds the data a company cannot afford to leak: orders, invoices, patients, payroll. A generic MCP server with a login lets the model write T-SQL against all of it. One prompt injection can read tables nobody meant to expose, and a generated query with a missing filter can lock a busy table. Named tools with fixed shapes remove both problems and give security a clear list of what an agent can do.

What the generated SQL Server MCP server does

Reads tables, columns, types, indexes, primary and foreign keys from your CREATE TABLE scripts, including schemas such as dbo and sales.
Generates a tool per table and per relation, with filters, sorting and a hard cap on page size.
Separates read tools from write tools. Write tools exist only for the tables you switch on.
Applies row rules per key, so an agent for one customer, branch or business unit sees only that slice.
Uses parameterised queries. The model supplies values, never SQL text.
Writes a log line for every call with the key, the tool, the arguments and the row count.

MCP server6 tools

list_orderslimit, cursor

get_orderid

create_ordercustomer_id, items

cancel_orderid, reason

refund_orderid, amount

From CREATE TABLE to a working agent in four steps

Script your SQL Server schema from Management Studio, or describe the tables in plain words.
Review the proposed tools and change names, descriptions and permissions.
Choose output. MCP server is preselected, and the same schema also gives you a REST API and GraphQL.
Deploy to managed hosting or export the code, then add the server URL and a key to your agent.

Teams that put agents in front of real SQL Server data

Internal IT and BI teams on a Microsoft stack who want a Copilot or Claude agent to answer questions from the line of business database.
Software vendors with a SQL Server backed product who need to offer customers an official, governed MCP endpoint.
Consultancies that build agents for several clients and need one key and one set of row rules per client.
Compliance owners who must show an auditor exactly what an AI agent read last quarter.

CREATE TABLE orders (
  id          uuid PRIMARY KEY,
  customer_id uuid REFERENCES customers,
  status      text NOT NULL,
  total       numeric(10,2),
  placed_at   timestamptz
);

GET/v1/orders

GET/v1/customers/{id}/orders

Raw connection MCP server or a generated one

A generic server is fine for exploring a test database. The table describes what changes when the agent reaches production data.

Topic	Generic SQL Server MCP server	Generated with APIGenerator
Access model	One login, any query	Named tools, one key per agent
SQL written by	The model	Parameterised queries from the schema
Row level limits	Depends on the database user	Per key rules
Write protection	Depends on the database user	Write tools off until enabled
Audit trail	Your own logging	Built in per call
Docs and REST API	Not included	Generated from the same schema

Other databases and outputs

Running PostgreSQL or MySQL as well? See the postgres mcp server and the mysql mcp server pages. To put many agents behind one governed endpoint use the mcp gateway. For the same tables as a normal API, see api database and create rest api.

Questions about sql server mcp server

No. Agents call named tools with a key. The generated server holds the connection on your side and runs parameterised queries, so the model never writes T-SQL and never sees credentials.

Yes. APIGenerator reads the schema from your DDL, so SQL Server, Azure SQL Database and Azure SQL Managed Instance schemas all work. Paste the CREATE TABLE scripts or upload the .sql file.

Yes. A row rule attaches a filter such as CustomerId to the key, and every tool call by that agent is restricted to those rows, for reads and writes alike.

You choose. Export the code and run it next to your SQL Server instance, inside your network, or deploy to managed hosting. Only the schema is needed to generate it.

Connect agents to SQL Server with rules you control

Upload your schema and see the generated tools before you pay for anything.