VantegrateNative API integrationIntegrate SQL Server with AI agentsthat answer in natural language
Vantegrate's AI agents connect to your Microsoft SQL Server database with a read-only login in the db_datareader role: Metrix queries your tables and answers business questions in natural language, with no T-SQL and no manual reports. The data doesn't leave your database: the agent queries and answers, and it doesn't take your SQL Server anywhere else.
How the data flows
What does it mean to integrate SQL Server with Vantegrate's AI agents?
Integrating SQL Server with Vantegrate's AI agents means that Metrix queries your database to answer business questions in natural language, instead of relying on manual reports or on an analyst who writes every T-SQL query. The connection uses a read-only login in the db_datareader role, and the agent interprets the question, turns it into a query and answers with your real data.
That is different from a fixed decision-tree bot that only repeats stored answers. The agent understands the context of the question, builds the query and answers from the live data in your database. The information stays in your SQL Server: the agent queries it and returns it without copying or moving it, and every query is logged for auditing.
What do you want to connect to your SQL Server?
Pick what you need and we'll write the message for you.
1 · Pick what to solve
2 · What our team receives
Vantegrate
online
What data moves between Vantegrate and SQL Server
The agent works on your database in real time and read-only: it interprets the question, turns it into a query on your tables and views, and answers with the current data, without taking the database out of your environment.
Read-only queries on your database
The agent connects with a read-only login whose database user is a member of the db_datareader role, which only allows reading data from user tables and views, with no writes and no structural changes. It reads what it needs to answer, nothing more.
Answers in natural language
You ask in plain English from the chat and the agent turns the question into a query, runs it on your database and returns the answer, with nobody having to write T-SQL or wait for an analyst to build the report.
The data doesn't leave your database
Our principle: AI comes to your data, not your data to the AI. Your data stays in your SQL Server; the agent queries and answers, it doesn't take the database anywhere else, and every query is logged.
How the integration works, step by step
Vantegrate handles the setup and rollout. Your team authorizes, validates and starts using it.
Database and schema discovery
We walk through your SQL Server database and its schemas to understand which tables and views matter, before touching anything. The technical connection path and the network rules are defined and validated case by case.
Read-only login on db_datareader
We create a read-only login and add its database user to the db_datareader role (ALTER ROLE db_datareader ADD MEMBER), with Windows or SQL Server authentication depending on your IT policy, and TLS encryption in transit.
Loading the business context
We teach the agent what each table and each metric means in your database: what a customer is called, what counts as a closed sale, which column holds the amount. Without that context, a correct query answers the wrong question.
Testing with real questions and activation
We test the agent with real questions from your team, validate that the answers match your source of truth and roll it out in phases.
Asking in natural language vs. waiting for a manual report
Not every way of getting to the data is the same. Requesting a report and waiting for someone to write the T-SQL query creates a queue: a question asked on Monday gets answered on Wednesday, when the data has already changed, and small questions never get asked because they aren't worth the interruption. The agent that queries the database on its own answers on the spot, from live data.
The difference shows up in every question: whoever needs the number asks for it in the chat and gets it instantly, without opening a ticket or depending on the analyst's schedule. And because the agent connects with a read-only login limited to the db_datareader role, every query is logged for auditing, something scattered spreadsheets and shared credentials rarely allow.
| Dimension | Manual report / analyst | Agent on SQL Server |
|---|---|---|
| Connection | Exports and scattered spreadsheets | Read-only login (db_datareader) |
| How you ask | Request a report or write T-SQL | In natural language, from the chat |
| Response time | Hours or days in a queue | On the spot, from live data |
| Permissions | Broad access or shared credentials | Read-only, limited by the role |
| Traceability | Hard to audit | Every query is logged |
Comparison of data access patterns; the exact scope and the connection path are defined with your IT team based on your instance and your security policy.
Your data stays in your database: the agent queries your SQL Server read-only through the db_datareader role and returns the answer; it doesn't copy or move your database to another environment. Vantegrate enables the access; your instance is yours to operate and certify.
You've seen how it connects. Want to walk through your case?
Tell us how your SQL Server is set up and we'll tell you what data we need and where the agent connects.
An agent connected to your SQL Server vs. a standalone tool
| Standalone AI tool | Agent connected to your SQL Server | |
|---|---|---|
| Data source | A copy that drifts | Your source of truth, live |
| Where your data lives | In a third-party system | In your environment, encrypted end to end |
| Result of each operation | Stuck in another app | Written back to your SQL Server |
| Permissions and audit | Broad and hard to audit | Least-privilege scope and an audit trail |
| Reaching production | Often stalls as a pilot | Validated, phased rollout |
Why add an agent that queries your database over WhatsApp
Third-party figures, each with its published source, to size up the platform and the context. None of them is a Vantegrate result.
Top 3
SQL Server ranks among the world's most popular databases in the DB-Engines Ranking
95%
Of generative AI pilots never reach production with measurable business impact
The position in the DB-Engines Ranking changes with every monthly measurement. The exact connection path to your SQL Server and the network rules are validated case by case before you start.
Which agents run on your SQL Server
On the same database, each product in the suite does its own job: Metrix answers questions, Arconte leaves structured data where it belongs and Sellium looks up what it needs to serve customers.
Metrix
Data agent: answers business questions in natural language against your SQL Server database, with no T-SQL and no waiting, with read-only access through the db_datareader role.
Explore Metrix
Arconte
Document agent: when the data extracted from invoices and receipts is headed for your SQL Server database, Arconte makes it available there, structured, for the rest of your operations.
Explore Arconte
Sellium
Sales agent on WhatsApp: when it needs data that lives in your database to answer a customer, it looks it up read-only without taking the person out of the chat.
Explore SelliumThe integration doesn't take your data anywhere
The principle is simple: AI comes to your data, not your data to the AI. The agent queries your SQL Server with minimum read-only permissions, over the path and network rules you authorize, and the agents run on certified cloud infrastructure.
- Access with a read-only login in the db_datareader role: the agent reads tables and views without writing to them or changing your database structure.
- The data doesn't leave your database: the agent queries and answers, and it doesn't copy or move your SQL Server to another environment.
- Windows or SQL Server authentication depending on your IT policy, and TLS encryption in transit over the engine's protocol.
- The agents run on Salesforce or Oracle Cloud Infrastructure, whose SOC 2 Type II and ISO 27001 certifications belong to those platforms, not to Vantegrate or to your SQL Server instance, with every query logged for auditing.
Frequently asked questions about the SQL Server integration
What IT and data teams usually ask before connecting an AI agent to their SQL Server database.
Can the agent modify my SQL Server database?
Can the agent modify my SQL Server database?
Not with the recommended setup. The login's database user is a member of the db_datareader role, which only allows reading data from user tables and views, with no writes and no structural changes. The agent queries and answers; it doesn't insert, update or delete. Vantegrate handles the setup and rollout; your IT team authorizes the permissions, validates and starts using it. Meet Metrix, the data agent.
Where does my data stay?
Where does my data stay?
In your SQL Server database. The agent queries your database and returns the answer to the question; the database isn't copied or moved to another environment. The principle is that AI goes to your data, not your data to the AI, and every query is logged so you can audit what was read and when.
What type of authentication does the connection use?
What type of authentication does the connection use?
SQL Server supports Windows (Active Directory) and SQL Server authentication, and the connection is encrypted with TLS in transit. The exact option is defined with your IT team based on your security policy; in every case, access is limited to the read-only db_datareader role.
Which port does it connect on?
Which port does it connect on?
The SQL Server engine listens on TCP port 1433 by default, over the TDS protocol. The exact connection path, your instance's actual port and the network rules are validated with your team before you start, so access stays within your perimeter and your policy.
Metrix, the data agent
How the agent answers business questions about your database in natural language, with no T-SQL.
Learn moreAll integrations
The full map: the CRMs, ERPs, databases and tools the AI agents connect to.
Learn moreAI agents for enterprises
The map of the Vantegrate suite: sales, marketing, documents, data and logistics.
Learn moreLet's connect AI agents to your SQL Server
Tell us what you ask your SQL Server database and we'll show you how Metrix answers in natural language, which read-only login we request on db_datareader and how the data never leaves your instance. A 30-minute conversation, no commitment.
Francisco Morales, co-founder, takes your call. We reply on WhatsApp within 4 business hours, no strings attached.
