sqlglass runs on your own machine — the client starts it, so there is no endpoint to ping. 50 installs a week from pypi.
SQL Server / Azure SQL for agents: real schema, lint, read-only runs, plans, write previews.
The linked repository no longer exists on GitHub — it was deleted or made private.
We have not read this server's code yet, 31 d ago · rules ccca72095570
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.
этот файл ставится пользователю, но в репозитории его нет
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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 sqlglass -- uvx sqlglass
{
"mcpServers": {
"sqlglass": {
"command": "uvx",
"args": [
"sqlglass"
]
}
}
}
[mcp_servers.sqlglass]
command = "uvx"
args = ["sqlglass"]
{
"mcpServers": {
"sqlglass": {
"command": "uvx",
"args": [
"sqlglass"
]
}
}
}
{
"servers": {
"sqlglass": {
"type": "stdio",
"command": "uvx",
"args": [
"sqlglass"
]
}
}
}
Optional settings from the registry entry, left out of the block above:
SQLGLASS_CONFIG (Path to sqlglass.toml (connection definitions). Optional if the file is in the workspace or the user data folder).
Read-only codebase audits for coding agents: secrets, RLS, deps, review verdicts. No writes.
MCP server for the phlow agent runtime: bounded planner-coder-reviewer agent workflows.
Read-only MCP server for exposing database schema metadata without row data.
Read-only MCP server for Inforcer M365 baseline governance, plus assessment and report runs.
Read-only MCP server for Inforcer M365 baseline governance, plus assessment and report runs.
Tently, the AI PR reviewer for GitHub: agents check team decisions before they write code.
Score repos for launch and agent readiness, find verified agents, read collaborations. Read-only.
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
Answers built from our own checks of this server.