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Braintree MCP Server

@QuentinCody

代码仓库

关于 Braintree MCP Server

暂无概览

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "braintree-mcp-server": {
      "command": "python",
      "args": [
        "braintree_sse_server.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Braintree MCP Server?

An unofficial Model Context Protocol (MCP) server that provides AI assistants with structured access to PayPal Braintree payment processing services via GraphQL API. It enables AI systems to perform payment operations such as fetching transactions, creating payments, and managing customer data through MCP tools.

How to use Braintree MCP Server?

Install dependencies, create a .env file with Braintree credentials (BRAINTREE_MERCHANT_ID, BRAINTREE_PUBLIC_KEY, BRAINTREE_PRIVATE_KEY, BRAINTREE_ENVIRONMENT), then run python braintree_server.py for STDIO transport or python braintree_sse_server.py for SSE transport. The server exposes tools like braintree_ping and braintree_execute_graphql.

Key features of Braintree MCP Server

  • Two transport modes: STDIO (per‑session) and SSE (persistent web server)
  • Executes arbitrary GraphQL queries against Braintree API
  • Simple connectivity test tool (braintree_ping)
  • Supports standard payment operations (transactions, customers, etc.)
  • Configurable environment (sandbox or production)

Use cases of Braintree MCP Server

  • AI assistants querying transaction details and customer information
  • Automated payment creation and settlement via natural language or tools
  • Testing Braintree connectivity and credentials programmatically
  • Integrating payment processing into MCP‑compatible client applications

FAQ from Braintree MCP Server

What Braintree credentials are required?

You need BRAINTREE_MERCHANT_ID, BRAINTREE_PUBLIC_KEY, BRAINTREE_PRIVATE_KEY, and BRAINTREE_ENVIRONMENT, obtainable from your Braintree Control Panel.

What transport options are available?

Two versions: STDIO (designed for Claude Desktop and other MCP clients) and SSE (standalone web server on 127.0.0.1:8001 by default, for multiple persistent connections).

Can I run multiple client connections?

The STDIO version spawns a new server process per client session and terminates on disconnect. The SSE version runs persistently and can handle multiple client connections simultaneously.

Does the server support production Braintree environments?

Yes, set BRAINTREE_ENVIRONMENT to either sandbox or production in your .env file.

What Python version is required?

Python 3.13+ is recommended.

常见问题

What Braintree credentials are required?

You need `BRAINTREE_MERCHANT_ID`, `BRAINTREE_PUBLIC_KEY`, `BRAINTREE_PRIVATE_KEY`, and `BRAINTREE_ENVIRONMENT`, obtainable from your Braintree Control Panel.

What transport options are available?

Two versions: STDIO (designed for Claude Desktop and other MCP clients) and SSE (standalone web server on `127.0.0.1:8001` by default, for multiple persistent connections).

Can I run multiple client connections?

The STDIO version spawns a new server process per client session and terminates on disconnect. The SSE version runs persistently and can handle multiple client connections simultaneously.

Does the server support production Braintree environments?

Yes, set `BRAINTREE_ENVIRONMENT` to either `sandbox` or `production` in your `.env` file.

What Python version is required?

Python 3.13+ is recommended.

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基本信息

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其他

传输方式

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发布者

QuentinCody

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