SpendShield runs on your own machine — the client starts it, so there is no endpoint to ping. 2 961 installs a week from pypi. Last commit 7 Sep 2026.
Authorization layer between AI agents and money: ALLOW/APPROVAL/DENY, budgets, audit.
Today is the operative word: we check SpendShield every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
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 spendshield -- uvx spendshield
{
"mcpServers": {
"spendshield": {
"args": [
"spendshield"
],
"command": "uvx"
}
}
}
[mcp_servers.spendshield]
command = "uvx"
args = ["spendshield"]
{
"mcpServers": {
"spendshield": {
"args": [
"spendshield"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"spendshield": {
"args": [
"spendshield"
],
"command": "uvx"
}
}
}
Pre-flight spend authorization for AI agents. Set a budget, enforce limits, audit every decision.
Runtime authority for AI agents: credential mediation, spend cap, approval gates, audit log.
MCP adapter for Agent_Sudo: authorization, delegation, provenance, and audit for AI agents.
Intent-bound action authorization for AI agents: policy, human approval, and a signed audit trail.
Runtime permission, approval, and audit layer for AI agent tool execution.
Let AI agents query and operate business systems with authorization, approval and audit trails.
Spend approval gate for AI agents: budget caps, HITL thresholds, signed audit hash.
Secure permission layer between AI agents and your .env files
Answers built from our own checks of this server.