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The AlgoVoi MCP server lets any Model Context Protocol client call AlgoVoi’s gateway as if its tools were native. An assistant can then create payment links, verify transactions, and check status as part of a normal conversation.

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What’s exposed

ToolAction
create_checkoutGenerate a hosted-checkout URL from amount + currency + chain
verify_paymentConfirm an on-chain transaction was paid for the given token
check_statusPoll a checkout’s lifecycle state
list_networksReturn all supported chains and assets for a tenant
list_resourcesList the tenant’s defined paid resources

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Two implementations

ImplementationWhen to pick itSource
PythonEasiest to extend, runs everywhere Python runsmcp-server/python
TypeScriptBest for Node-native deployments and Cloudflare Workersmcp-server/typescript
Both expose the same tools and configuration. Functional behaviour is identical.

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Wiring it into Claude Desktop

Add the MCP server to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS): 
{
  "mcpServers": {
    "algovoi": {
      "command": "uvx",
      "args": ["algovoi-mcp"],
      "env": {
        "ALGOVOI_API_KEY": "algv_…",
        "ALGOVOI_TENANT_ID": "…",
        "ALGOVOI_API_BASE": "https://api1.ilovechicken.co.uk"
      }
    }
  }
}
Restart Claude Desktop. The AlgoVoi tools appear in the tools list. Now ask Claude “create a $5 USDC checkout link on Solana” and it will call create_checkout and return the URL.

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Wiring into Claude Code, Cursor, or Windsurf

Same shape as Claude Desktop. Each editor has its own MCP config location, but the server entry is the same.

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A2A and MCP together

The same gateway exposes A2A skills for agent-to-agent calls and MCP tools for assistants. They’re equivalent on the wire, just different protocols. If you’re building agents, A2A is the discoverable shape; if you’re augmenting an assistant, MCP is the natural fit.

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See also

  • A2A for the agent-to-agent equivalent
  • MPP for paywalling MCP tools that you build
  • The MCP spec