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Braintree MCP Server

An unofficial Braintree payment processing MCP server that provides AI assistants with the ability to access Braintree payment services in a structured manner through the GraphQL API, supporting operations such as transaction query and payment creation.
2 points
25

What is the Braintree MCP Server?

This is a server based on the Model Context Protocol (MCP) specification that allows AI systems to securely access Braintree payment processing functions through the GraphQL API. It acts as a bridge between AI assistants and Braintree payment services.

How to use the Braintree MCP Server?

You need to configure Braintree merchant credentials, start the server, and then the AI system can send payment operation requests through the MCP protocol. The server will process these requests and return structured responses.

Use cases

Suitable for AI assistants, chatbots, or automated systems that need to integrate Braintree payment functions, especially in scenarios where payment transactions need to be processed, transaction status queried, or customer payment information managed.

Main features

Connectivity testProvides a simple ping function to verify the connection status with Braintree services
GraphQL query executionSupports executing arbitrary GraphQL queries and mutation operations to interact with the Braintree API
Transaction managementSupports creating, querying, and managing payment transactions
Customer data accessAllows querying and managing customer payment information

Advantages and limitations

Advantages
Provides a standardized payment service access interface for AI systems
Provides flexible data query capabilities through GraphQL
Simplifies the integration process between AI systems and Braintree
Supports sandbox and production environments
Limitations
Requires valid Braintree merchant credentials
Unofficial implementation, not supported by Braintree officially
Requires a Python 3.13+ environment
Functionality is limited by the capabilities of the Braintree GraphQL API

How to use

Clone the repository
Clone the project code to your local machine
Set up the Python environment
Ensure you are using Python 3.13 or a higher version
Install dependencies
Install all Python dependencies required by the project
Configure credentials
Set your Braintree merchant credentials in the .env file
Start the server
Run the server to prepare to receive MCP requests

Usage examples

Query transaction detailsGet detailed information about a specific transaction
Create a new transactionCreate a new transaction using a saved payment method
Get customer informationQuery the customer's payment methods and basic information

Frequently Asked Questions

How to obtain Braintree merchant credentials?
What is the difference between the sandbox environment and the production environment?
What GraphQL operations does the server support?
How to handle API limits?

Related resources

Braintree official documentation
Official documentation for the Braintree GraphQL API
MCP protocol specification
Official specification of the Model Context Protocol
GitHub repository
Project source code
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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