Fin-MCP Payment Server

Fin-MCP Payment Server

Enables AI agents to interact with multiple payment providers (Stripe, Paystack) through a unified API. Supports payment initialization, verification, refunds, customer management, and invoicing without requiring knowledge of specific provider implementations.

Category
访问服务器

README

Fin-MCP

Fin-MCP is a self-hosted, modular MCP that allows AI agents or enterprise systems to interact with multiple payment providers (e.g., Stripe, Paystack) via a single unified API. It abstracts the provider logic so agents can call payment operations seamlessly.


Features

  • MCP for Payments: AI agents can perform payment actions without knowing provider details.
  • Dynamic MCP tools: Initialize payment, verify payment, refund, create customers, and invoices.
  • Optional authentication: Protect MCP access with API keys.
  • Metadata endpoint: Agents can discover available tools and supported providers.
  • Self-hosted MCP: Full control over deployments and provider credentials.
  • Extensible: Add new tools or providers with minimal changes.
  • Protocol-driven tool execution: Agents can call any tool via /mcp/call.
  • Provider abstraction: MCP selects or routes to the appropriate payment provider automatically (e.g., based on provider like stripe, based on currency (soon)).

Table of Contents


Installation

git clone https://github.com/Veri5ied/fin-mcp.git
cd fin-mcp

Install dependencies

bun install

Configuration

Create a .env file in the root:

# Enable or disable API key authentication
ENABLE_AUTH=false

# API key for auth (only used if ENABLE_AUTH=true)
FIN_MCP_KEY=supersecret-fin-key

# Stripe secret key (required for Stripe provider)
STRIPE_SECRET=sk_test_1234567890
  • ENABLE_AUTH: Set to true for secure access; false for testing or private networks.
  • FIN_MCP_KEY: Your self-generated secret key.
  • STRIPE_SECRET: Stripe API secret for payment operations.

Running the MCP

bun run dev

Open http://localhost:3000 in your browser.


API Endpoints

1. Get Metadata

GET /mcp/metadata

Agents discover available payment tools and providers

{
  "tools": [
    {
      "name": "initialize_payment",
      "description": "Start a payment",
      "providers": ["stripe", "paystack"]
    }
  ]
}

2. Call a Tool

POST /mcp/call

Agents execute payment operations through the MCP protocol.

Headers (if auth enabled):

Authorization: Bearer <FIN_MCP_KEY>
Content-Type: application/json

Body Example (Stripe Initialize Payment):

{
  "tool": "initialize_payment",
  "input": {
    "provider": "stripe",
    "amount": 5000,
    "currency": "USD",
    "email": "customer@example.com"
  },
  "idempotency_key": "unique-key-123"
}

Response:

{
  "status": "ok",
  "result": {
    "id": "cs_test_1234",
    "object": "checkout.session"
  }
}

Adding New Providers

  1. Create a new adapter in src/providers/.
  2. Implement the required interfaces (PaymentProvider, or extend specific tool interfaces).
  3. Add the adapter to the provider registry (src/providers/registry.ts).
  4. Update metadata.ts to include the new provider for relevant tools.

The MCP will automatically route calls based on the provider field in the request payload.


Development Notes

  • Idempotency: Use idempotency_key in /mcp/call to prevent duplicate operations.
  • Audit Logging: MCP logs every call via logAudit() for traceability.
  • Extensibility: You can define new tools without modifying the core callHandler — just add the tool interface and adapter implementation.
  • Optional Authentication: Set ENABLE_AUTH=false for testing or private self-hosted environments.

License

MIT License — free to use and modify for your self-hosted deployments.


💡 Optional Add-ons

  • Integrate AI agents to call /mcp/call dynamically.
  • Add support for webhooks from payment providers.
  • Add fully typed output interfaces for each provider to eliminate any responses.

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