Braintree MCP Server

by QuentinCody

Finance/Payments Braintree GraphQL Payment AI Assistant

An unofficial Model Context Protocol (MCP) server for interacting with PayPal Braintree payment processing services. It enables AI systems to perform payment operations through MCP tools.

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What is Braintree MCP Server?

This server implements the Model Context Protocol (MCP) specification to provide AI assistant models with direct, structured access to Braintree's payment processing capabilities via GraphQL API.

How to use Braintree MCP Server?

First, clone the repository and set up a Python 3.13+ environment. Then, install dependencies using pip and configure your Braintree credentials in a .env file. Finally, run the server using python braintree_server.py and use the available MCP tools like braintree_ping and braintree_execute_graphql to interact with the Braintree API.

Key features of Braintree MCP Server

GraphQL API access to Braintree
MCP compliant interface
Payment operations via AI assistants
Transaction management
Customer data access

Use cases of Braintree MCP Server

AI-powered payment processing
Automated transaction management
Customer service automation
Integrating Braintree with AI models
Building payment workflows for AI assistants

FAQ from Braintree MCP Server

What is MCP?

Model Context Protocol (MCP) is a specification for providing AI assistant models with direct, structured access to external services.

What are the requirements for running this server?

Python 3.13+ and Braintree merchant account credentials.

How do I configure my Braintree credentials?

Create a .env file in the project root with your Braintree merchant ID, public key, private key, and environment.

How do I run the server?

Execute python braintree_server.py in your terminal.

Is this an official Braintree integration?

No, this is an unofficial integration and is not endorsed by or affiliated with PayPal or Braintree.