Vericto: database guardrails for AI agents is answering right now. Last checked 3 min ago.
Database guardrails for AI agents: check SQL against your Vericto rules before it runs.
Today is the operative word: we check Vericto: database guardrails for AI agents every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.
claude mcp add mcp --transport http https://mcp.vericto.com/mcp
https://mcp.vericto.com/mcp
[mcp_servers.mcp]
url = "https://mcp.vericto.com/mcp"
{
"mcpServers": {
"mcp": {
"url": "https://mcp.vericto.com/mcp"
}
}
}
{
"servers": {
"mcp": {
"type": "http",
"url": "https://mcp.vericto.com/mcp"
}
}
}
This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://mcp.vericto.com/mcp | streamable-http | needs auth | 431 ms | 3 min ago |
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Governs what AI agents do: tool calls, SQL, commands, files checked against policy before they run.
Read-only PostgreSQL for AI agents: every statement is checked before it runs. No account needed.
Deterministic safety, correctness & cost gate that vets Postgres SQL before your AI agent runs it.
Memory for AI coding agents — markdown in your own git, not a vendor database. Apache-2.0.
The trust and intelligence layer between AI agents and your database.
MCP Toolbox for Databases enables your agent to connect to your database.
MCP Toolbox for Databases enables your agent to connect to your database.
Answers built from our own checks of this server.