Fewsats MCP Server

What does “Fewsats” MCP Server do?

The Fewsats MCP (Model Context Protocol) Server acts as a bridge between AI assistants and the Fewsats platform, enabling secure and automated purchasing capabilities. By integrating with Fewsats, this MCP server allows AI agents to interact with user wallets, manage payment methods, and perform transactions such as paying for offers or retrieving payment information. This enhances development workflows by providing programmatic access to purchasing and payment functions, enabling advanced use cases where AI assistants can securely handle financial operations on behalf of users without manual intervention.

List of Prompts

No prompt templates are mentioned in the available documentation or repository files.

List of Resources

No explicit MCP resources are listed in the available documentation or repository files.

List of Tools

• balance
  • Retrieves the balance of the user’s wallet. No input required; returns current wallet balance information.
• payment_methods
  • Retrieves the user’s payment methods. No input required; returns a list of available payment methods.
• pay_offer
  • Pays an offer with the specified ID from the l402_offers. Inputs include offer_id (string) and l402_offer (object). Returns payment status response.
• payment_info
  • Retrieves the details of a payment. Input is pid (string, payment ID). Returns detailed payment information.

Use Cases of this MCP Server

• Wallet Balance Checking
  • AI agents can query and display a user’s Fewsats wallet balance, enabling real-time financial awareness within development or assistant workflows.
• Payment Method Management
  • Developers can allow users to view and manage available payment methods directly through AI assistants, streamlining account management.
• Automated Purchasing
  • AI agents can automatically pay for offers or services by calling the pay_offer tool, facilitating seamless transactions in applications that require purchasing digital goods or services.
• Payment Tracking
  • The payment_info tool allows for retrieval of payment details, supporting features like transaction history, receipt generation, and auditing within AI-driven applications.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the repository.

Claude

1. Prerequisite: Obtain your Fewsats API key from Fewsats.com.
2. Locate your claude_desktop_config.json file.
3. Add or edit the mcpServers section to include Fewsats MCP Server:

   "mcpServers": {
     "Fewsats Server": {
       "command": "uvx",
       "args": ["fewsats-mcp"],
       "env": {
         "FEWSATS_API_KEY": "YOUR_FEWSATS_API_KEY"
       }
     }
   }
   

4. Save the configuration file.
5. Restart Claude Desktop and verify the server is available.

Securing API Keys:
Use the env field in your configuration to securely inject your API key.

Cursor

No setup instructions for Cursor are provided in the repository.

Cline

No setup instructions for Cline are provided in the repository.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "fewsats-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “fewsats-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the available documentation, the Fewsats MCP Server provides clear tool definitions and secure API key handling but lacks documented prompts and explicit resource definitions. Sampling and Roots support are not mentioned. Overall, this is a practical payment integration MCP with good setup documentation for certain platforms, but with room for improvement in standardization and multi-platform support.

MCP Score

MCP Server rating: 5/10
The server delivers its core payment tools well, but lacks prompt templates, resources, sampling/roots documentation, and broad platform setup coverage.