Braintree MCP Server

@QuentinCody

Braintree MCP Server について

概要はまだありません

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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.