Community Servers · MODEL CONTEXT PROTOCOL

mcp-stripe

mcp-stripe is a community-listed Model Context Protocol server. Review the source repository before installation.

WHAT IT CONNECTS

What mcp-stripe gives an AI Agent

The source catalog does not include a structured feature list. Review the repository documentation before use.

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

MCP Stripe Server

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A Model Context Protocol (MCP) server implementation that integrates with Stripe for handling payments, customers, and refunds. This server provides a structured API to manage financial transactions securely.

Demo

stripe_demo

Requirements

  • Python 3.8+
  • MCP SDK 0.1.0+
  • Stripe Python SDK
  • dotenv

Components

Resources

The server provides audit logging of all Stripe operations:

  • Stores audit logs of customer, payment, and refund operations
  • Supports structured logging for better traceability
  • Uses MCP resource endpoints to retrieve audit data

Tools

The server implements Stripe API operations, including:

Customer Management
  • customer_create: Create a new customer
  • customer_retrieve: Retrieve a customer's details
  • customer_update: Update customer information
Payment Operations
  • payment_intent_create: Create a payment intent for processing payments
  • charge_list: List recent charges
Refund Operations
  • refund_create: Create a refund for a charge

Features

  • Secure Payments: Integrates with Stripe for robust payment handling
  • Audit Logging: Keeps track of all Stripe transactions
  • Error Handling: Comprehensive error handling with clear messages
  • MCP Integration: Supports MCP-compatible tools and resource listing

Installation

Installing via Smithery

To install Stripe Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @atharvagupta2003/mcp-stripe --client claude

Install dependencies

python -m venv venv
source venv/bin/activate  # On macOS/Linux
venv\Scripts\activate    # On Windows
pip install -e .

Configuration

Set up the environment variables in a .env file:

STRIPE_API_KEY=your_stripe_secret_key
Claude Desktop

Add the server configuration to your Claude Desktop config:

Windows: C:\Users<username>\AppData\Roaming\Claude\claude_desktop_config.json

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "stripe": {
      "command": "uv",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/src",
        "run",
        "server.py"
      ]
    }
  }
}

Usage

Start the server

uv run src/server.py

Example MCP Commands

Create a customer
{
    "tool": "customer_create",
    "arguments": {
        "email": "customer@example.com",
        "name": "John Doe"
    }
}
Retrieve a customer
{
    "tool": "customer_retrieve",
    "arguments": {
        "customer_id": "cus_123456"
    }
}
Create a payment intent
{
    "tool": "payment_intent_create",
    "arguments": {
        "amount": 5000,
        "currency": "usd",
        "customer": "cus_123456"
    }
}
Create a refund
{
    "tool": "refund_create",
    "arguments": {
        "charge_id": "ch_abc123"
    }
}

Error Handling

The server provides clear error messages for common scenarios:

  • Missing API Key: STRIPE_API_KEY required
  • Invalid API Key: Authentication error
  • Customer not found: Invalid customer ID
  • Invalid input: Missing or incorrect parameters

Development

Testing

Run the MCP Inspector for interactive testing:

npx @modelcontextprotocol/inspector uv --directory /ABSOLUTE/PATH/TO/PARENT/FOLDER/src run server.py

Building

  1. Update dependencies:
uv compile pyproject.toml
  1. Build package:
uv build

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

View README on GitHub

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