
MoltPe
@umangbuilds
MoltPe について
AI-native payment infrastructure that gives AI agents isolated wallets with programmable spending policies for autonomous USDC stablecoin transactions. 11 MCP tools for Claude Desktop, Cursor, and Windsurf. Tri-rail support: x402 (HTTP-native micropayments), MPP (session-based st
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"moltpe": {
"command": "npx",
"args": [
"-y",
"@moltpe/mcp-server"
],
"env": {
"MOLTPE_API_KEY": "<YOUR_API_KEY>"
}
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is MoltPe?
MoltPe is an MCP server implementing payment tools for AI agents, supporting stablecoin micropayments (x402), session-based streaming (MPP), and traditional fiat payment paths. It is a reference implementation for developers building agent payment systems with mock data by default and optional live mode connecting to moltpe.com/mcp for real on-chain transactions.
How to use MoltPe?
Install the MCP server with cd mcp-server && npm install && npm start to run on port 3000 with 11 payment tools. Configure with Claude Desktop using the example config in examples/claude-desktop-config.json. For live mode, run PROVIDER_MODE=live MOLTPE_AGENT_TOKEN=swai_... npm start to connect to MoltPe’s production server.
Key features of MoltPe
- Reference implementation with x402, MPP, and fiat payment paths
- 11 MCP tools for payments management
- Mock providers for development and testing
- Live mode connects to moltpe.com/mcp for real transactions
- Zero runtime dependencies with 87 tests
- Supports stablecoin, session, and fiat settlement
Use cases of MoltPe
- AI agents paying for API access via x402 micropayments
- Session-based budget authorization for agent tasks
- Fiat card authorization and settlement for traditional payments
- Collections layer for agent receivables and invoicing
- Agent-to-agent stablecoin payments on Polygon/Base
FAQ from MoltPe
What is MoltPe compared to self-built payment stacks?
MoltPe is a reference implementation with mock data; for production, developers must implement real PaymentProvider adapters. It shows how agents can pay, get paid, and manage money across different protocols.
What runtime dependencies does MoltPe require?
Both the mcp-server and x402-client packages have zero runtime dependencies and zero npm audit vulnerabilities.
Where does payment data live?
By default, the server runs with mock data in all three payment providers. In live mode, it connects to moltpe.com/mcp for real on-chain transactions on Polygon and Base.
What are the known limits of MoltPe?
The project is a reference implementation not intended for production use without custom PaymentProvider adapters. It provides 11 MCP tools and supports three parallel payment paths with a 64-item production deployment checklist available.
What transport and auth does MoltPe use?
The MCP server runs on port 3000 and
「AI とエージェント」の他のコンテンツ
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
MCP-LLM Bridge
patruffBridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
Intervals.icu MCP Server
mvilanovaModel Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
Perplexity MCP Server
DaInfernalCoderA Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
コメント