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Sql Explorer

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A read-only MCP server for browsing and querying SQL Server databases, providing tools to list schemas, tables, describe columns, and execute safe SELECT querie

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Описание

A read-only MCP server for browsing and querying SQL Server databases, providing tools to list schemas, tables, describe columns, and execute safe SELECT queries with validated parameters.

README

Personal, read-only MCP server for browsing/querying a SQL Server database from Claude Code (or any MCP client). Built for local dev use — not intended to be exposed over a network or shared with other people.

Tools exposed

  • list_schemas — list all schemas
  • list_tables — list tables, optionally filtered by schema
  • list_views — list views, optionally filtered by schema
  • list_procedures — list stored procedures, optionally filtered by schema
  • list_functions — list functions (with return type), optionally filtered by schema
  • describe_table — columns, types, nullability, primary key for a table
  • describe_view — columns and the CREATE VIEW definition for a view
  • describe_procedure — parameters and the CREATE PROCEDURE definition (metadata only — never executes it)
  • describe_function — parameters, return type, and the CREATE FUNCTION definition (metadata only — never executes it)
  • browse_tableSELECT TOP N * FROM schema.table (no filter)
  • query_table — same as above with one validated WHERE column op value condition
  • join_tablesSELECT across multiple tables/views with explicit join conditions; every table, alias, and column is validated the same way as the single-table tools
  • run_query — arbitrary read-only SQL: CTEs (WITH ...), subqueries, GROUP BY/aggregates, window functions, UNION, ORDER BY — anything a single SELECT statement can express. See safety notes below.
  • find_similar_names — Jaro-Winkler fuzzy search over table/view/column/procedure/function names, for when you don't remember the exact spelling
  • fuzzy_search_column — Jaro-Winkler fuzzy search over the distinct values of a single text column

Safety notes

  • Point this at a read-only login. Create a SQL login scoped to db_datareader (or equivalent) on whatever database you connect it to. The tool code itself never issues writes, but the real safety boundary should be the DB permission, not the app logic.
  • Every schema/table/column name used in a query is checked against a live INFORMATION_SCHEMA lookup before being used — the server never interpolates an unverified identifier into SQL.
  • Filter values in query_table and join_tables are always passed as parameters (@value), never string-concatenated.
  • join_tables accepts no raw SQL — table/column names are whitelisted per the rule above, and join aliases (which aren't real DB identifiers) are restricted to a safe [A-Za-z_][A-Za-z0-9_]* pattern before being quoted in.
  • run_query is the one tool that accepts raw SQL text, so it doesn't get the whitelist treatment — it gets two layers instead. First, a text-level guard rejects anything but a single SELECT/WITH ... SELECT statement and rejects the query outright if it contains a second ;-separated statement or any of INSERT/UPDATE/DELETE/MERGE/EXEC/EXECUTE/DROP/ALTER/CREATE/ TRUNCATE/GRANT/REVOKE/DENY/OPENROWSET/OPENDATASOURCE/OPENQUERY/BULK/INTO/ sp_executesql. Second, even after passing that check, the query runs inside a transaction that is unconditionally rolled back afterwards — so a write that somehow slips past the text filter still can't persist. Neither layer is a parser, and neither is a substitute for the read-only DB login recommended above — they're defense in depth on top of it, not instead of it.
  • describe_procedure/describe_function only ever read metadata (INFORMATION_SCHEMA.PARAMETERS, OBJECT_DEFINITION()) — there is no tool that calls EXEC, since running a procedure could itself be a write.
  • The fuzzy-search tools (find_similar_names, fuzzy_search_column) compute Jaro-Winkler similarity in-process after a normal validated SELECT; the search term never becomes part of the SQL text.
  • Row limits are capped server-side at 200 regardless of what's requested.

Setup

npm install
npm run build

Environment variables

Variable Required Notes
DB_SERVER yes e.g. your-server.database.windows.net
DB_NAME yes database name
DB_USER yes read-only SQL login
DB_PASSWORD yes
DB_ENCRYPT no defaults to true (needed for Azure SQL)
DB_TRUST_CERT no set true only for local dev instances with self-signed certs

Claude Code configuration

Add to your MCP config (project-level .mcp.json or global config):

{
  "mcpServers": {
    "sql-browser": {
      "command": "node",
      "args": ["/absolute/path/to/sql-mcp-server/dist/index.js"],
      "env": {
        "DB_SERVER": "your-server.database.windows.net",
        "DB_NAME": "your-db",
        "DB_USER": "readonly_user",
        "DB_PASSWORD": "your-password",
        "DB_ENCRYPT": "true"
      }
    }
  }
}

Don't commit real credentials into .mcp.json if the repo is shared — use a local, gitignored config, or reference environment variables already set on your machine.

Extending

The query_table tool intentionally supports only a single WHERE condition to keep the validation surface small. If you need multiple conditions later, extend the input schema to accept an array of { column, operator, value } and validate each one against getValidColumns() the same way — resist the temptation to accept a raw SQL fragment.

from github.com/timsuv/sql-explorer-mcp

Установка Sql Explorer

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/timsuv/sql-explorer-mcp

FAQ

Sql Explorer MCP бесплатный?

Да, Sql Explorer MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Sql Explorer?

Нет, Sql Explorer работает без API-ключей и переменных окружения.

Sql Explorer — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Sql Explorer в Claude Desktop, Claude Code или Cursor?

Открой Sql Explorer на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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