A powerful **Model Context Protocol (MCP)** server that enables natural language querying of SQL Server databases. Transform your English questions
A powerful Model Context Protocol (MCP) server that enables natural language querying of SQL Server databases. Transform your English questions into SQL queries automatically using OpenAI's GPT models, with intelligent schema awareness. Exposed over MCP by the chatql mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverInstallation — 1. Clone the repository bash git clone https://github.com/SyedRazaHasnain/chatql-mcp.git cd chatql-mcpSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
You will need 3 environment variables: DB_SERVER, DB_DATABASE, OPENAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Chatql MCP's toolset — Prerequisites, Installation — is a fair guide to whether it matches your workflow. It is maintained by SyedRazaHasnain; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Installation | 1. **Clone the repository** bash git clone https://github.com/SyedRazaHasnain/chatql-mcp.git cd chatql-mcp |
{
"mcpServers": {
"chatql-mcp": {
"command": "python",
"args": ["C:/Users/YourUsername/Desktop/mcp/server.py"],
"env": {
"DB_SERVER": "localhost\\SQLEXPRESS",
"DB_DATABASE": "YourDatabase",
"OPENAI_API_KEY": "your-openai-api-key"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DB_SERVER | Configuration value read at startup. | Optional |
| DB_DATABASE | Configuration value read at startup. | Optional |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.