AgentPay MCP Server

AgentPay MCP Server

Provides a trust and governance layer for AI agents, enabling secure API access, credential vaulting, paid execution with human approval, and automatic call resume.

Category
访问服务器

README

AgentPay

<p align="center"> <strong>Trust + capability vault + governed paid execution for agents.</strong> </p>

<p align="center"> <a href="https://www.npmjs.com/package/@agentpayxyz/mcp-server"><img src="https://img.shields.io/npm/v/%40agentpayxyz%2Fmcp-server?color=4ade80&label=mcp-server" alt="npm"></a> <a href="https://github.com/Rumblingb/Agentpay/actions/workflows/ci.yml"><img src="https://github.com/Rumblingb/Agentpay/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <img src="https://img.shields.io/badge/status-live_beta-4ade80" alt="Live Beta"> <img src="https://img.shields.io/badge/license-BSL--1.1-blue" alt="License"> <a href="https://github.com/Rumblingb/Agentpay"><img src="https://img.shields.io/github/stars/Rumblingb/Agentpay?style=social" alt="Stars"></a> </p>


AgentPay is the authority layer between an AI agent and the real world. It handles provider access, funding authority, human approval, exact-call resume, and proof so agents can finish work end to end without raw secrets in chat or repeated dashboard setup.

It is not a generic "agent platform." It is the trust seam that makes autonomous execution usable.

npx -y @agentpayxyz/mcp-server

That one command gives any MCP-compatible host the ability to:

  • request API access
  • vault credentials without exposing the raw key to the agent
  • run governed paid execution
  • pause for OTP or approval only when needed
  • resume the exact blocked call automatically
  • reuse governed access later from the same workbench

Why it exists

Agents fail at the same place every time:

  1. they need an API the developer has not wired yet
  2. they need a credential the human should not paste into chat
  3. they hit a paid step and lose continuity

AgentPay fixes that seam.

Capability Vault Users connect a provider once through AgentPay. The raw credential is vaulted server-side. The agent receives only governed capability access.

Governed paid execution Humans set guardrails once: funding rail, auto-approve limit, OTP policy, and spend limits. AgentPay enforces those rules when the agent acts.

Exact-call resume When a paid step needs a human, AgentPay pauses, collects the minimum approval, and resumes the exact blocked call without asking the agent to reconstruct it.

Same-workbench reuse Local projects never need raw provider keys. AgentPay can issue opaque, revocable workbench leases so the same workbench can reuse governed access later.

The inevitable path

This is the path AgentPay is built around:

  1. Agent asks for an API.
  2. AgentPay checks whether governed access already exists.
  3. If not, AgentPay runs one hosted setup flow for authority and provider connection.
  4. The agent uses the capability for free until paid usage is required.
  5. AgentPay pauses for OTP or confirmation only if policy requires it.
  6. AgentPay resumes the exact blocked call.
  7. The same workbench can reuse governed access later without re-entering the secret.

Get started in 30 seconds

Add AgentPay to Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "agentpay": {
      "command": "npx",
      "args": ["-y", "@agentpayxyz/mcp-server"],
      "env": {
        "AGENTPAY_API_KEY": "apk_your_key_here",
        "AGENTPAY_MERCHANT_ID": "your_merchant_id"
      }
    }
  }
}

Get your API key:

curl -s -X POST https://api.agentpay.so/api/merchants/register \
  -H "Content-Type: application/json" \
  -d '{ "name": "My Agent", "email": "you@example.com" }'

Now ask your host:

"My agent needs Firecrawl. Set a $5 auto-approve limit, ask for OTP above that, and keep the key out of chat."

Or:

"My agent needs Databento for this workbench. If access already exists, reuse it. If not, start the minimal AgentPay setup flow."

Full quickstart


Terminal-native control plane

AgentPay should be operated through hosts and terminals, not a merchant dashboard.

Key surfaces:

  • GET /api/capabilities/authority-bootstrap
  • POST /api/capabilities/authority-bootstrap
  • POST /api/capabilities/access-resolve
  • POST /api/capabilities/onboarding-sessions
  • POST /api/capabilities/lease-execute
  • GET /api/capabilities/leases
  • POST /api/capabilities/leases/:leaseId/revoke
  • POST /api/capabilities/:capabilityId/execute

These let a host or agent:

  • read authority state
  • set guardrails
  • connect providers
  • request human approval only when needed
  • reuse governed access safely later

Flagship provider paths

The current wedge is strongest when AgentPay owns setup and continuity for high-value agent APIs.

Current priority paths:

  • Databento
  • Firecrawl
  • Browserbase
  • Exa
  • Generic REST API fallback

The product goal is simple: visiting provider dashboards should become the exception, not the default.

Remote MCP

For hosts that support remote MCP:

https://api.agentpay.so/api/mcp

Authenticate with your API key as a Bearer token, or mint a short-lived token for Claude, OpenAI, or another remote MCP host:

curl -X POST https://api.agentpay.so/api/mcp/tokens \
  -H "Authorization: Bearer apk_your_key_here" \
  -d '{ "audience": "openai", "ttlSeconds": 3600 }'

Ace - built on AgentPay

Ace is a proof front door built on AgentPay. It demonstrates the core seam under real-world conditions. It is not the core story.

Product truth

If a human still has to:

  • paste a raw provider key into chat
  • rebuild a blocked call after payment
  • keep reopening provider dashboards
  • or lose continuity between approval and execution

then the product is still unfinished.

Developer resources

Resource Link
Quickstart QUICKSTART.md
MCP server reference packages/mcp-server/README.md
Full API reference openapi.yaml
Terminal-native control plane docs/TERMINAL_NATIVE_CONTROL_PLANE_20260419.md
Examples examples/README.md
Security model docs/SECURITY_MODEL.md

Repository layout

apps/
  api-edge/         Cloudflare Workers public API
  meridian/         Ace front door

packages/
  mcp-server/       Published MCP package
  sdk/              TypeScript SDK
  sdk-node/         Node.js SDK

examples/           Example agents and adapters
docs/               Architecture and product notes
migrations/         PostgreSQL migrations
ops/                Founder and growth operating artifacts

License

Business Source License 1.1. Converts to AGPL-3.0 on 2029-01-01.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选