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Phx DB Explorer MCP Server

by hsenidBiz

Phx DB Explorer MCP Server

A Model Context Protocol (MCP) server that exposes your SQL Server database schema to AI coding assistants (GitHub Copilot, Cursor, etc.). It allows AI tools to discover tables, views, stored procedures, functions, indexes, foreign keys, and more — without writing any SQL themselves — and to read row data through guarded, read-only tools.


Prerequisites

Requirement

Version

Notes

.NET SDK

10.0 or later

Required to build and run

Docker

Any recent version

Required for integration tests only


Related MCP server: mcp-server-mssql

Project Structure

src/
├── PhxDbExplorer/                  # MCP server application
├── PhxDbExplorer.Tests/            # Unit tests (xUnit, Moq)
└── PhxDbExplorer.IntegrationTests/ # Integration tests (Testcontainers, requires Docker)

Configuration

The server is configured entirely through environment variables.

Variable

Required

Description

DB_TYPE

✅ Yes

Database type. Use mssql or sqlserver for SQL Server.

CONNECTION_STRING

✅ Yes

Full ADO.NET connection string for the target database.

SCHEMA_FILTER

❌ No

Comma-separated list of schemas to expose (default: dbo).

MAX_ROWS

❌ No

Hard ceiling on rows returned by any data-read tool (default: 100). A caller's limit is clamped to this — it can lower the cap, never raise it.

QUERY_TIMEOUT_SECONDS

❌ No

Command timeout for data-read queries (default: 30).

Example values:

DB_TYPE=mssql
CONNECTION_STRING=Server=localhost,1433;Database=MyDb;User Id=sa;Password=YourPassword;TrustServerCertificate=True;
SCHEMA_FILTER=dbo,hr
MAX_ROWS=100
QUERY_TIMEOUT_SECONDS=30

The connection string is the real access boundary. The server never escalates privileges, but it also cannot grant itself any it wasn't given. If the assistant should not be able to read a table, connect with a login that cannot read it. Pointing this server at production with a db_owner login gives every connected AI client read access to every row in the configured schemas.


Installation

Self-contained, single-file executables are published as GitHub Releases for every tagged version — no .NET SDK (or even the .NET runtime) required on the target machine.

  1. Go to the Releases page.

  2. Download the archive matching your OS/architecture:

    Asset

    Platform

    PhxDbExplorer-<version>-win-x64.zip

    Windows x64

    PhxDbExplorer-<version>-linux-x64.tar.gz

    Linux x64

    PhxDbExplorer-<version>-osx-x64.tar.gz

    macOS (Intel)

    PhxDbExplorer-<version>-osx-arm64.tar.gz

    macOS (Apple Silicon)

  3. Extract it and point your MCP client at the extracted PhxDbExplorer (or PhxDbExplorer.exe) binary.

Each release should have all four assets attached — if one is missing, check the release workflow run for that tag.

Option B — Build from source

Requires the .NET SDK (see Prerequisites above).

dotnet build

Option C — npx (used by the PHR-Foundry Claude Code plugin)

package.json at the repo root wraps Option A behind an npx launcher, so nothing needs to be downloaded or installed by hand:

npx -y github:hsenidBiz/phx-dbexplorer

On first run it downloads the release asset matching your OS/arch into ~/.cache/phx-dbexplorer-mcp/<version>/<rid>/ and execs it; later runs reuse the cached binary. Pin a specific tag with PHX_DBEXPLORER_VERSION=1.2.0 (defaults to the latest release). This is what an MCP client's command should point at instead of a local binary path — see phr-foundry's org-standards plugin for the registered mcpServers entry.

This repo must stay public. The launcher's download step (GET /repos/.../releases/latest and the release asset itself) is unauthenticated — it has no way to use a developer's own git/GitHub credentials — so a private repo would 404 for anyone without direct access, defeating the point of the npx install path.

You still need to set DB_TYPE / CONNECTION_STRING / SCHEMA_FILTER yourself (see Configuration above) — npx only fetches and runs the binary, it doesn't supply your database credentials. In the org-standards plugin these are wired up from PHX_DB_TYPE / PHX_DB_CONNECTION_STRING / PHX_DB_SCHEMA_FILTER in your own shell environment.

Archive extraction on Windows uses a small self-contained zip reader (Node's built-in zlib, no external dependency) rather than shelling out to tar — GNU tar (e.g. the one bundled with Git Bash) can't read .zip at all, and a Windows path's drive-letter colon confuses tar's remote-archive detection regardless. Linux/macOS releases are .tar.gz and still extract via the system tar, which every POSIX machine has.


Registering the Server with an MCP Client

The server is not launched directly. Instead, it is registered in your editor's MCP configuration file so the editor starts and manages it automatically.

VS Code — .vscode/mcp.json

Create (or update) .vscode/mcp.json in your workspace:

{
  "servers": {
    "phx-dbexplorer": {
      "type": "stdio",
      "command": "Path to PhxDbExplorer.exe",
      "args": [],
      "env": {
        "DB_TYPE": "mssql",
        "CONNECTION_STRING": "Server=localhost,1433;Database=YourDatabase;User Id=YourUsername;Password=YourPassword;TrustServerCertificate=True;",
        "SCHEMA_FILTER": "YourSchema"
      }
    }
  }
}

Tip: For a published/built binary, replace the dotnet run command with the path to the compiled executable (e.g. "command": "path/to/PhxDbExplorer.exe").

Once registered, restart your editor and the MCP server will be available to any AI assistant that supports the MCP protocol.


Available MCP Tools

These tools are automatically available to your AI assistant once the server is running.

Tool

Description

list_tables

Lists all tables and views in the configured schema(s) with type and description.

get_table_schema

Returns full schema for a table/view: columns, foreign keys, indexes, and constraints.

list_stored_procedures

Lists all stored procedures in the configured schema(s).

get_procedure_definition

Returns the full definition of a stored procedure including parameters and SQL source.

list_functions

Lists all user-defined functions (UDFs) in the configured schema(s).

get_function_definition

Returns the full definition of a function including parameters and SQL source.

search_schema

Case-insensitive keyword search across tables, views, columns, procedures, and functions.

Data-read tools

Tool

Description

sample_table_data

Returns rows from a table or view, with an optional WHERE predicate, ORDER BY list, and row limit.

execute_query

Runs a single read-only SELECT (or WITH … SELECT) — for joins, aggregates, and anything sampling can't express.

get_table_row_count

Exact row count for a table or view.

get_data_read_limits

Reports the active MAX_ROWS, query timeout, and readable schemas, so a client can size requests before making them.

Both sample_table_data and execute_query return { columns, rows, rowCount, rowLimit, truncated }. truncated: true means the row cap was hit and more rows matched than were returned.

How reads are kept read-only

Data access is enabled by default and constrained by four independent layers, so no single mistake makes a write possible:

  1. Statement validationexecute_query accepts only a single statement that starts with SELECT or WITH. Writes, DDL, EXEC/CALL, SELECT … INTO, transaction and session control, and file/external access (OPENROWSET, pg_read_file, sp_/xp_ procedures, …) are rejected. Validation runs against SQL with string literals, quoted identifiers, and comments blanked out, so 'DELETE' inside a literal and a [Update] column name are fine while DR/**/OP cannot smuggle a keyword past it.

  2. A transaction that is always rolled back — every caller-supplied statement runs inside a transaction the server rolls back unconditionally. On PostgreSQL it is additionally a READ ONLY transaction, so the engine itself refuses writes.

  3. No identifier interpolationsample_table_data resolves the table against the catalog first and only ever splices the catalog's own spelling into SQL, so a table or schema name cannot carry syntax. WHERE/ORDER BY fragments are raw SQL by necessity and go through the same validator, which additionally rejects ; and unbalanced parentheses.

  4. Schema and row limits — reads are confined to SCHEMA_FILTER, and no response can exceed MAX_ROWS regardless of the limit a caller asks for.

Layer 1 is a filter, not a parser, and it fails closed: an unusual-but-legitimate query may be rejected. Rephrase it, or use sample_table_data. Layers 2–4 are the guarantees.


Running Tests

Unit Tests

No extra dependencies required.

dotnet test src/PhxDbExplorer.Tests

Tests use xUnit, Moq, and FluentAssertions to verify tool behavior and configuration logic in isolation.

Integration Tests

⚠️ Docker is required. Integration tests use Testcontainers to automatically pull and start a SQL Server 2022 container. Docker must be running before executing these tests.

dotnet test src/PhxDbExplorer.IntegrationTests

The container is started automatically at the beginning of the test run and torn down when the tests complete. No manual database setup is needed.


Releasing

Pushing a tag matching v*.*.* (e.g. v1.2.0) triggers the release workflow, which runs the unit tests, publishes self-contained single-file binaries for win-x64, linux-x64, osx-x64, and osx-arm64, and attaches them to a new GitHub Release.

git tag v1.2.0
git push origin v1.2.0

See docs/readme.md for the full CI/CD pipeline documentation, including artifact naming, job breakdown, and pipeline verification history.


Contributing

  1. Fork the repository and create a feature branch.

  2. Make your changes — keep them focused and well-tested.

  3. Ensure all unit tests pass (dotnet test src/PhxDbExplorer.Tests).

  4. Open a pull request with a clear description of the change.

Every pull request runs the CI workflow automatically: build, unit tests, and integration tests (Testcontainers spins up its own SQL Server container on the runner — no setup needed on your end).

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Maintenance

Maintainers
Response time
Release cycle
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Commit activity

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