Fluora

Provides service discovery, auto payments, and AI integration for monetized web services using USDC on Base.
  • javascript

0

GitHub Stars

javascript

Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "fluora-ai-fluora-mcp": {
      "command": "npx",
      "args": [
        "fluora-mcp"
      ],
      "env": {
        "LOG_LEVEL": "INFO",
        "MCP_TRANSPORT": "stdio",
        "FLUORA_API_URL": "https://api.fluora.ai/api",
        "ENABLE_REQUEST_ELICITATION": "true",
        "ENABLE_UNSAFE_DIRECT_ACCESS": "false"
      }
    }
  }
}

Fluora MCP lets your AI agents discover, access, and pay for monetized services across the web using seamless blockchain payments. It supports automatic USDC payments on the Base network, empowering agents to act autonomously while handling payments securely and locally.

How to use

You can connect your AI agent to Fluora MCP through your preferred MCP client, such as a code editor extension or a desktop client. Once connected, your agent can discover monetized services, request service actions, and trigger auto payments when services are used. Private keys stay on your machine, while real-time service status, pricing, and availability are surfaced for you to make informed decisions.

How to install

Prerequisites: ensure you have Node.js and npm installed on your machine.

Install Fluora MCP globally and start the server to generate a wallet automatically.

Run the following commands to set up Fluora MCP and connect it to your MCP client.

Additional content

Configuration helps you tailor how Fluora MCP operates, including transport, logging, and security. Wallets are generated locally and stored on your device, and payments are verified on-chain using USDC on Base.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational