About
The Fewsats MCP Server enables AI agents to retrieve wallet balances, list payment methods, and execute purchases securely through the Fewsats API. It is ideal for integrating seamless e‑commerce payments into agent workflows.
Capabilities
Overview
The Fewsats MCP Server bridges the gap between AI assistants and real‑world commerce by providing a secure, programmable interface to the Fewsats payment platform. For developers building conversational agents that need to perform transactions—whether buying digital goods, subscribing to services, or handling micro‑payments—this server offers a concise set of tools that abstract away the complexities of authentication, balance checks, and payment execution. By exposing these operations through MCP, Claude or any other compatible AI can request a purchase on behalf of the user with minimal friction and maximum safety.
At its core, the server implements four primary tools:
- balance – retrieves the current wallet balance for the authenticated user.
- payment_methods – lists all payment methods linked to the account, enabling an AI to present options or verify available funding sources.
- pay_offer – executes a payment against an offer identified by its ID, handling the required L402 protocol details such as the payment context token and request URL.
- payment_info – fetches detailed status information for a specific transaction, allowing the agent to confirm completion or troubleshoot failures.
These tools are deliberately lightweight yet powerful. They encapsulate all the stateful interactions needed to manage a payment lifecycle, while keeping the API surface small enough for straightforward integration. The server accepts an API key via environment variable, ensuring that only authorized agents can initiate transactions on a user’s behalf.
In practical scenarios, the Fewsats MCP Server shines for any application that needs to monetize or pay for services within a conversational context. For example, an AI tutor could sell premium lesson plans, a virtual assistant could purchase cloud storage on demand, or a chatbot could facilitate in‑app purchases for a game. Because the server handles balance checks and payment confirmation, developers can focus on crafting the user experience rather than dealing with payment gateway intricacies.
Integrating this server into an AI workflow is seamless: add the MCP entry to your Claude Desktop configuration, provide the Fewsats API key, and expose the four tools. The agent can then invoke them through natural language prompts—“Show me my balance,” “What payment methods do I have?” or “Buy the premium offer with ID 12345”—and receive structured responses that can be directly used in subsequent dialogue or UI updates. The result is a frictionless, secure purchase flow that feels native to the conversation.
Overall, the Fewsats MCP Server offers a unique combination of simplicity, security, and real‑world payment capability. It empowers developers to embed commerce into AI assistants without exposing sensitive credentials or handling low‑level payment logic, making it an invaluable asset for any project that seeks to monetize interactions or provide paid services through conversational agents.
Related Servers
Netdata
Real‑time infrastructure monitoring for every metric, every second.
Awesome MCP Servers
Curated list of production-ready Model Context Protocol servers
JumpServer
Browser‑based, open‑source privileged access management
OpenTofu
Infrastructure as Code for secure, efficient cloud management
FastAPI-MCP
Expose FastAPI endpoints as MCP tools with built‑in auth
Pipedream MCP Server
Event‑driven integration platform for developers
Weekly Views
Server Health
Information
Explore More Servers
Wikidata SPARQL MCP Server
Global SPARQL access to Wikidata via Cloudflare Workers
Supavec MCP Server
Fetch context from Supavec for AI models
MCP Claude Spotify
Spotify integration for Claude Desktop via MCP
MCP Custom Servers Collection
A modular repository of custom MCP servers for diverse deployments
Filesystem Operations MCP Server
Bulk file and folder tools for fast, reliable batch processing
EVM MCP Server
Unified AI interface for 30+ EVM chains