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kukapay/token-minter-mcp

by Various

An MCP server providing tools for AI agents to mint ERC-20 tokens across multiple blockchains.

K

MCP

kukapay/token-minter-mcp

Added 1 June 2026

Overview

An MCP server that exposes tools for AI agents to mint ERC-20 tokens on multiple blockchains. It implements the Model Context Protocol so agents can trigger token creation through standardized tool calls.

Best for

Best for
Developers building AI agents that need to programmatically mint ERC-20 tokens across different chains

Use cases

  • Automating token distribution for airdrops or rewards via an AI agent
  • Enabling AI-driven token creation in multi-chain DeFi applications
  • Integrating token minting capabilities into agentic workflows

Notes

An MCP server that exposes tools for AI agents to mint ERC-20 tokens on multiple blockchains. It implements the Model Context Protocol so agents can trigger token creation through standardized tool calls.

18 stars on GitHub. Last updated 2025-04-28. Licensed MIT.

Use cases

  • Automating token distribution for airdrops or rewards via an AI agent
  • Enabling AI-driven token creation in multi-chain DeFi applications
  • Integrating token minting capabilities into agentic workflows

Pros

  • Works across multiple blockchains, increasing flexibility
  • Leverages the MCP standard for easy integration with AI agents
  • Lightweight JavaScript implementation

Cons

  • Low community adoption (18 stars) may indicate limited testing or support
  • Only supports ERC-20 tokens, not other token standards
  • Documentation and examples may be sparse given the early stage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works across multiple blockchains, increasing flexibility
  • Leverages the MCP standard for easy integration with AI agents
  • Lightweight JavaScript implementation

Cons

  • Low community adoption (18 stars) may indicate limited testing or support
  • Only supports ERC-20 tokens, not other token standards
  • Documentation and examples may be sparse given the early stage

Pairs with

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