Phx DB Explorer MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Phx DB Explorer MCP ServerShow me all tables in the HR schema."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
10.0 or later | Required to build and run | |
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 |
| ✅ Yes | Database type. Use |
| ✅ Yes | Full ADO.NET connection string for the target database. |
| ❌ No | Comma-separated list of schemas to expose (default: |
| ❌ No | Hard ceiling on rows returned by any data-read tool (default: |
| ❌ No | Command timeout for data-read queries (default: |
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=30The 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_ownerlogin gives every connected AI client read access to every row in the configured schemas.
Installation
Option A — Download a prebuilt binary (recommended)
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.
Go to the Releases page.
Download the archive matching your OS/architecture:
Asset
Platform
PhxDbExplorer-<version>-win-x64.zipWindows x64
PhxDbExplorer-<version>-linux-x64.tar.gzLinux x64
PhxDbExplorer-<version>-osx-x64.tar.gzmacOS (Intel)
PhxDbExplorer-<version>-osx-arm64.tar.gzmacOS (Apple Silicon)
Extract it and point your MCP client at the extracted
PhxDbExplorer(orPhxDbExplorer.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 buildOption 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-dbexplorerOn 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 runcommand 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 |
| Lists all tables and views in the configured schema(s) with type and description. |
| Returns full schema for a table/view: columns, foreign keys, indexes, and constraints. |
| Lists all stored procedures in the configured schema(s). |
| Returns the full definition of a stored procedure including parameters and SQL source. |
| Lists all user-defined functions (UDFs) in the configured schema(s). |
| Returns the full definition of a function including parameters and SQL source. |
| Case-insensitive keyword search across tables, views, columns, procedures, and functions. |
Data-read tools
Tool | Description |
| Returns rows from a table or view, with an optional |
| Runs a single read-only |
| Exact row count for a table or view. |
| Reports the active |
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:
Statement validation —
execute_queryaccepts only a single statement that starts withSELECTorWITH. 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 whileDR/**/OPcannot smuggle a keyword past it.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 ONLYtransaction, so the engine itself refuses writes.No identifier interpolation —
sample_table_dataresolves 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 BYfragments are raw SQL by necessity and go through the same validator, which additionally rejects;and unbalanced parentheses.Schema and row limits — reads are confined to
SCHEMA_FILTER, and no response can exceedMAX_ROWSregardless of thelimita 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.TestsTests 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.IntegrationTestsThe 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 v1.2.0See docs/readme.md for the full CI/CD pipeline documentation, including artifact naming, job breakdown, and pipeline verification history.
Contributing
Fork the repository and create a feature branch.
Make your changes — keep them focused and well-tested.
Ensure all unit tests pass (
dotnet test src/PhxDbExplorer.Tests).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).
This server cannot be installed
Maintenance
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