Agent Guardrail runs on your own machine — the client starts it, so there is no endpoint to ping. 102 installs a week from pypi. Last commit 25 Aug 2026.
Deterministic policy firewall for AI agent tool calls - YAML rules, not a fuzzy risk score.
We read the source, 13 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.
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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 agent-guardrail -- uvx guardrail-mcp
{
"mcpServers": {
"agent-guardrail": {
"args": [
"guardrail-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.agent-guardrail]
command = "uvx"
args = ["guardrail-mcp"]
{
"mcpServers": {
"agent-guardrail": {
"args": [
"guardrail-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"agent-guardrail": {
"args": [
"guardrail-mcp"
],
"command": "uvx"
}
}
}
Deterministic policy enforcement and MCP management for AI agent tool calls.
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Deterministic, zero-token security scanner your AI agent calls to find and re-verify issues.
Network-egress firewall for agent tools: check URLs against a declarative policy.
Deterministic payment policy guardrail for AI agents - budgets, allowlists, signed mandates.
Deterministic PDF tools for AI agents: inspect fields, fill forms, merge PDFs, invoices.
Zero-trust gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
Answers built from our own checks of this server.