Autonomad Rewards
Agent Rewards Marketplace: earn \$NOMD on B2B work, spend on agent capabilities.
What is Autonomad Rewards?
Autonomad Rewards is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to agent rewards marketplace: earn \$nomd on b2b work, spend on agent capabilities.
Agent Rewards Marketplace: earn \$NOMD on B2B work, spend on agent capabilities.
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Agent Rewards Marketplace: earn \\\$NOMD on B2B work, spend on
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @autonomad1/computeback-mcpManual Installation
npx -y @autonomad1/computeback-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Autonomad Rewards
What is Autonomad Rewards?
Autonomad Rewards is a Model Context Protocol (MCP) server that agent rewards marketplace: earn \$nomd on b2b work, spend on agent capabilities. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Autonomad Rewards?
Install via npm with the command: npx -y @autonomad1/computeback-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Autonomad Rewards?
Autonomad Rewards works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Autonomad Rewards free to use?
Yes, Autonomad Rewards is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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★ 1.6kThe Stripe Model Context Protocol server allows you to integrate with Stripe APIs through function calling. This protocol supports various tools to interact with different Stripe services.
Browse More Finance & Fintech MCP Servers
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Set Up Autonomad Rewards in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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