About
A Model Context Protocol server that connects to the Coinbase Commerce API, enabling AI assistants like Claude to create payment links, retrieve charge details, and securely manage API keys for cryptocurrency transactions.
Capabilities
Overview
The MCP Coinbase Commerce Server bridges the gap between AI assistants and cryptocurrency payments. By exposing a set of MCP‑compatible tools that wrap the Coinbase Commerce API, it allows conversational agents such as Claude to create and manage payment links directly from chat. This eliminates the need for developers to write custom integration code, enabling rapid deployment of crypto‑enabled commerce flows in any application that supports MCP.
The server solves a common pain point for developers building AI‑driven storefronts or donation systems: generating secure, single‑use payment links and tracking their status without exposing sensitive API keys or handling low‑level HTTP requests. With a single configuration step, an AI assistant can issue commands like “create a $10 USD donation link” or “check the status of charge ID xyz.” The assistant then calls the appropriate MCP tool, which forwards the request to Coinbase Commerce, returns a user‑friendly link or status report, and presents it in the chat interface. This streamlined workflow empowers non‑technical users to accept crypto payments while keeping security and compliance handled by the server.
Key capabilities of the MCP server include:
- Dynamic charge creation: Specify product name, description, amount, currency, and optional redirect URLs to generate a unique payment link instantly.
- Charge retrieval: Look up any existing charge by its ID to obtain status, payment history, and metadata.
- Secure key management: The server reads the Coinbase Commerce API key from environment variables, ensuring credentials are never exposed to the AI client.
- MCP tool integration: The server exposes and as well‑defined MCP tools, making them discoverable through the AI’s hammer icon and callable with natural language prompts.
Typical use cases span a wide range of scenarios. Non‑profit organizations can quickly generate donation links for campaigns, online retailers can offer crypto checkout options without building a custom payment gateway, and event organizers can collect ticket fees in Bitcoin or other supported assets. In each case, the AI assistant acts as a conversational front‑end, translating user intent into precise API calls and delivering real‑time payment links or status updates.
Integrating the server into an AI workflow is straightforward: after configuring the MCP endpoint in the assistant’s settings, developers expose a hammer icon that signals available tools. Users can then issue prompts such as “Create a $5.50 coffee shop payment link” or “Show me the status of charge ID 123.” The assistant automatically invokes the corresponding MCP tool, handles authentication behind the scenes, and returns a ready‑to‑share link or detailed charge report. This tight coupling between natural language interaction and backend payment processing provides a frictionless experience for both developers and end‑users, while keeping the complexity of cryptocurrency transactions abstracted away.
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