Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"agentpay": {
"env": {
"AGENT_PRIVATE_KEY": "0x...",
"AGENT_WALLET_ADDRESS": "0x..."
},
"args": [
"agentpay-mcp"
],
"command": "npx"
}
}
}Are you the author?
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Non-custodial x402 payments for AI agents. Sign locally, spend limits, Base network.
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Compatible with x402 V1/V2 + Stripe MPP — protocol-agnostic spend controls.
agentpay-mcp is the human-first trust and policy layer above commodity execution rails (x402, ACP, UCP). OWS-compatible trust layer -- works on top of MoonPay Open Wallet Standard. Protocol-agnostic trust layer -- works with x402 AND Stripe MPP. While x402 settles $600M annualized — with AI agents driving 40% of protocol activity (March 2026) — the missing piece isn't payment execution. It's governance: who approved it, how much can be spent, and what happens when the agent tries to exceed its budget. That's what agentpay-mcp provides.
ACP handles what agents SELL. agentpay-mcp handles what agents BUY. ACP (Agent Commerce Protocol) enables agents to list services, negotiate, and receive payments. agentpay-mcp is the complementary layer — controlling what agents spend when consuming paid APIs, tools, and services. Different problems, compatible solutions.
When your agent hits HTTP 402 Payment Required, it needs to pay and retry — with your approval, within limits you set. AgentPay MCP is a Model Context Protocol server that gives Claude, Cursor, and any MCP-compatible agent a payment wallet with hard spend caps, human-approval mode, and a full on-chain audit trail.
The MCP ecosystem now has 97M+ monthly downloads and 10,000+ active servers — agentpay-mcp is the only MCP-native full payment execution layer.
✅ Integrated into NVIDIA/NeMo-Agent-Toolkit-Examples (PR #17 merged) — payment infrastructure for NVIDIA's official agent toolkit.
📌 AgentIndex flagship offer and sandbox payment demo: How agents buy API calls safely and AgentPay MCP trust result.
📌 x402 ecosystem listing context is tracked in docs/x402-ecosystem-submission.md.
agentpay-mcp is built for three buyer personas who all share the same problem: autonomous agents spending money without controls.
| Persona | Problem | What They Use agentpay-mcp For |
|---|---|---|
| FinOps Practitioners (Fortune 500 AI spend owners) | 98% of FinOps teams now manage AI spend (FinOps Foundation 2026) — but no governance layer exists for autonomous agents | Cost center attribution, per-agent budget caps, CFO-ready spend dashboards, policy-as-code enforcement |
| Platform Engineers (MCP / agent framework builders) | Agents call paid APIs at runtime with no native spend controls in x402, Stripe MPP, or MCP protocol | Drop-in spend governance middleware: daily caps, kill switches, per-task limits, audit trails |
| Enterprise Compliance Teams (EU AI Act, SOC 2, internal audit) | EU AI Act Article 14 (enforced Aug 2, 2026) requires runtime human oversight and decision-time enforcement for autonomous agents | Human-approval queues, runtime kill switches, full on-chain audit trail for compliance evidence |
FinOps teams: agentpay-mcp is the first governance layer designed for your workflows — not just for developers. Budget caps, approval thresholds, and cost attribution that slot into your existin