# Recharge Storefront API MCP Server

> Use this tool when you need to integrate AI-powered solutions with the Recharge Storefront API to manage subscriptions, customers, and orders. It solves problems related to automated billing, customer management, and order processing by providing a standardized interface for AI agents to access Recharge API endpoints. The tool accepts API requests as input and returns relevant data as output, making it ideal for use cases that require seamless interaction with the Recharge platform.

Canonical page: https://skillsregistry.net/skills/bearded-giant-recharge-storefront-api-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bearded-giant-recharge-storefront-api-mcp

## Description

A comprehensive Model Context Protocol (MCP) server that provides complete access to the Recharge Storefront API endpoints. Enables AI assistants to manage subscriptions, customers, orders, and billing through a standardized interface.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wvr5bymyo2)
- **Repository:** <https://github.com/bearded-giant/Recharge-Storefront-API-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bearded-giant-recharge-storefront-api-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bearded-giant-recharge-storefront-api-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bearded-giant-recharge-storefront-api-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt