SchemaBrain runs on your own machine — the client starts it, so there is no endpoint to ping. 62 installs a week from pypi. Last commit 21 Jun 2026.
The trust and intelligence layer between AI agents and your database.
We read the source, 22 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
data = yaml.load(text, Loader=_Yaml12SafeLoader) # nosec B506
return subprocess.run(
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add schemabrain -- uvx schemabrain
{
"mcpServers": {
"schemabrain": {
"args": [
"schemabrain"
],
"command": "uvx"
}
}
}
[mcp_servers.schemabrain]
command = "uvx"
args = ["schemabrain"]
{
"mcpServers": {
"schemabrain": {
"args": [
"schemabrain"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"schemabrain": {
"args": [
"schemabrain"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
DATABASE_URL (Postgres connection URL (postgresql+psycopg://USER:PASSWORD@HOST:PORT/DBNAME). The agent never sees this; the URL stays in the env so credentials never appear in argv or logs.).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.