Identify the plugin and its audience first, explain the agent/MCP architecture and limits, and streamline onboarding while preserving detailed examples and the reference catalog. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: ba611893-3f35-446b-a650-1e7bf57fa186
6.5 KiB
Postgres Skills setup
This plugin starts @microsoft/postgres-mcp as a local stdio process through
npx. It does not include database credentials or connect to a database until
you select and connect a profile.
Prerequisites
- Install a supported agent: Claude Code, GitHub Copilot CLI, or Codex CLI. Follow Starting with nothing if you do not have one yet.
- Install Node.js with
npxavailable onPATH, then follow the plugin quick start. Review the MCP server entry before enabling it. - Use a dedicated, least-privilege PostgreSQL role. Prefer a read-only role and a read-only connection profile for exploration.
- For Azure control-plane operations, install the Azure CLI and authenticate
with
az loginyourself. The plugin must not initiate an interactive login.
Starting with nothing
You need an internet connection, an account for one supported AI agent, and
Node.js LTS. Node.js includes npx, which
runs the bundled PostgreSQL MCP server.
This guide sets up the agent tools, not a PostgreSQL server. Before connecting, you need a running database you can reach and a dedicated, read-only role. If you do not have a database, install PostgreSQL for development or create a development database with your cloud provider. Ask your database administrator to provision the role and supply connection details.
-
Install Node.js LTS, then open a new terminal and verify:
node --version npx --version -
Install one AI agent:
Claude Code requires a Pro, Max, Team, Enterprise, or Console account. The free Claude plan does not include Claude Code.
Operating system Installation command Windows PowerShell irm https://claude.ai/install.ps1 | iexmacOS, Linux, or WSL curl -fsSL https://claude.ai/install.sh | bashGitHub Copilot CLI requires an active GitHub Copilot subscription. Organization administrators must allow Copilot CLI. The npm installation requires Node.js 22 or later; Windows also requires PowerShell 6 or later.
npm install -g @github/copilotCodex CLI supports ChatGPT Plus, Pro, Business, Edu, or Enterprise, or an OpenAI API key.
Operating system Installation command Windows PowerShell powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"macOS or Linux curl -fsSL https://chatgpt.com/codex/install.sh | shOn Windows, Git for Windows is optional but recommended for Claude Code and Codex.
-
Start the agent and sign in:
Agent Start command First-time sign-in Claude Code claudeFollow the browser prompt. GitHub Copilot CLI copilotEnter /loginand follow the prompts.Codex CLI codexSelect Sign in with ChatGPT, or configure an API key. Exit the agent after sign-in so you are back at your normal terminal prompt.
-
Install Postgres Skills using the commands in the plugin quick start, then start a new agent session.
-
Create and connect a read-only profile using the steps below.
Configure a database connection
The recommended method is a saved connection profile. Profile metadata is
stored under ~/.postgres-mcp/; passwords are stored separately in the
operating-system keyring.
Run these commands in your terminal, replacing the example connection details.
The single-line commands work in PowerShell and macOS/Linux shells.
Use your database provider's TLS requirements; verify-full requires a trusted
server certificate and a matching host name.
npx -y @microsoft/postgres-mcp connection add my-database "host=db.example.com user=agent_user dbname=app sslmode=verify-full" --access-mode ro
npx -y @microsoft/postgres-mcp connection set-password my-database
npx -y @microsoft/postgres-mcp connection list
The password command uses a hidden prompt. Do not put passwords in plugin configuration, prompts, source files, command arguments, or shell history.
After creating the profile, ask your agent to list the available PostgreSQL
profiles and connect to my-database.
Permissions and approvals
- The PostgreSQL role is the effective security boundary. The MCP server can do anything that role is allowed to do.
- Keep profiles read-only unless the task requires writes. Use both
--access-mode roand database-level read-only privileges. - The agent may run read-only inspection after you select a connection and allow the relevant tools.
- The skills instruct the agent to describe and request confirmation before any data, schema, role, extension, configuration, file-import, or Azure resource change.
- These instructions do not enforce approvals at the database layer. Combine database privileges, connection access modes, and agent tool permissions.
- Review the target, SQL, command, and expected impact before approving a change. Do not enable blanket approval for write tools.
- Prefer development or anonymized data over production data.
Data access and privacy
The local MCP process can access the selected database and return schema metadata, query results, and diagnostics to your AI agent. That information becomes part of your interaction with the agent and follows your AI provider's account and organization data-handling settings. A local MCP server does not mean the model runs locally.
CSV tools can read only approved local paths. Keep the allowlist narrow and set
POSTGRES_MCP_DISABLE_CWD_ACCESS=1 if the MCP startup directory should not be
readable.
This plugin starts postgres-mcp with --no-telemetry and does not transmit
database content to Microsoft for plugin telemetry. Installing or updating the
MCP package requires access to the npm registry. Azure workflows may communicate
with Azure services through the Azure CLI after you authenticate.
Review the postgres-mcp usage and security documentation before connecting sensitive or production databases.
Remove access
Disconnect the active profile, then remove it:
npx -y @microsoft/postgres-mcp connection remove my-database
Review the operating-system keyring and ~/.postgres-mcp/ if you also need to
remove locally stored credentials or configuration.