# Fewsats

> Use this tool when you need to enable AI agents to make secure purchases autonomously, handling financial transactions with ease and maintaining user control. Fewsats provides a simple interface for checking wallet balances, retrieving payment methods, and paying for offers, solving problems related to secure and efficient transaction processing. It accepts a Fewsats API key as input and outputs payment details, making it ideal for applications requiring autonomous and secure financial transactions.

Canonical page: https://skillsregistry.net/skills/fewsats  
JSON: https://api.skillsregistry.net/v1/skills/fewsats

## Description

Fewsats MCP server integrates with the Fewsats payment platform, enabling AI agents to securely make purchases through a simple interface. Built with Python using the FastMCP framework, it exposes four key tools: checking wallet balances, retrieving payment methods, paying for offers using L402 protocol, and accessing payment details. The implementation is designed to run via either uv package manager or pip installation, and requires a Fewsats API key for authentication. This server is particularly valuable for applications where AI agents need to handle financial transactions autonomously while maintaining security and user control over the payment process.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fewsats)
- **Repository:** <https://github.com/fewsats/fewsats-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": "fewsats"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fewsats` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fewsats/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