Fewsats▌

by fewsats
Fewsats integrates secure L402 transactions, enabling wallet balance checks, payment options, and seamless purchases via
Integrates with the Fewsats payment platform to enable secure financial transactions through L402 protocol, allowing wallet balance checks, payment method retrieval, and autonomous purchasing capabilities.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI agents needing payment capabilities
- / Automated financial transactions
- / L402 protocol implementations
capabilities
- / Check wallet balance
- / Retrieve payment methods
- / Process L402 payments
- / Track payment status
- / Make autonomous purchases
what it does
Enables AI agents to make secure payments through the Fewsats platform using L402 protocol. Provides wallet management and autonomous purchasing capabilities.
about
Fewsats is an official MCP server published by fewsats that provides AI assistants with tools and capabilities via the Model Context Protocol. Fewsats integrates secure L402 transactions, enabling wallet balance checks, payment options, and seamless purchases via It is categorized under finance.
how to install
You can install Fewsats in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Fewsats is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
fewsats-mcp: A Fewsats MCP Server
Overview
This MCP server integrates with Fewsats and allows AI Agents to purchase anything in a secure way.
MCP is
Tools
-
balance- Retrieve the balance of the user's wallet
- Input: None
- Returns: Current wallet balance information
-
payment_methods- Retrieve the user's payment methods
- Input: None
- Returns: List of available payment methods
-
pay_offer- Pays an offer with the specified ID from the l402_offers
- Input:
offer_id(string): String identifier for the offerl402_offer(object): Offer details containing:offers: Array of offer objects with ID, amount, currency, description, titlepayment_context_token: Payment context token stringpayment_request_url: URL for payment requestversion: API version string
- Returns: Payment status response
-
payment_info- Retrieve the details of a payment
- Input:
pid(string): Payment ID to retrieve information for
- Returns: Detailed payment information
Installation
Using uv (recommended)
When using uv no specific installation is needed. We will
use uvx to directly run fewsats-mcp.
uvx fewsats-mcp
Using PIP
Alternatively you can install fewsats-mcp via pip:
pip install fewsats-mcp
After installation, you can run it as a script using:
fewsats-mcp
Configuration
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
Important: Replace YOUR_FEWSATS_API_KEY with the API key you obtained from Fewsats.com.
"mcpServers": {
"Fewsats Server": {
"command": "uvx",
"args": ["fewsats-mcp"],
"env": {
"FEWSATS_API_KEY": "YOUR_FEWSATS_API_KEY"
}
}
}
</details>FAQ
- What is the Fewsats MCP server?
- Fewsats is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Fewsats?
- This profile displays 34 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★34 reviews- ★★★★★Sakura Lopez· Dec 28, 2024
Fewsats is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Sophia Sharma· Dec 20, 2024
Fewsats has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Shikha Mishra· Dec 8, 2024
According to our notes, Fewsats benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ren Liu· Dec 8, 2024
Fewsats reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Yash Thakker· Nov 27, 2024
We wired Fewsats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Noah Singh· Nov 27, 2024
I recommend Fewsats for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ira Diallo· Nov 11, 2024
Fewsats is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Dhruvi Jain· Oct 18, 2024
Fewsats is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Fatima Malhotra· Oct 18, 2024
Strong directory entry: Fewsats surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ira Gonzalez· Oct 2, 2024
We wired Fewsats into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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