payram-mcp — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by PayRam · MCP Server · ★ 155

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About payram-mcp

PayRam MCP Server — Self-Hosted Crypto Payments for AI Agents A no-signup, no-KYC crypto payment gateway with card-to-crypto checkout — your AI agent can deploy and operate it over MCP. Hosted endpoint: · Website · Docs · Agentic · OpenClaw An MCP (Model Context Protocol) server that lets any MCP-aware AI agent — OpenClaw, Hermes, Claude, Cursor, GitHub Copilot, and others — deploy, integrate, and operate a self-hosted PayRam crypto-payment stack. It exposes tools to assess a codebase, scaffold starter apps, generate multi-language integration snippets, read inline docs, create payment links, and check node sync + payment readiness against your own deployment. For agents & crawlers: server card · skills index · llms.txt · sitemap. The server also answers on with an agent-readable summary. What is PayRam? · PayRam 是什么? PayRam is a self-hosted, multi-chain crypto payment gateway you own outright — with no signup and no KYC/KYB to run it. An AI agent (or a developer) can stand up a store and start accepting payments without registering an account with PayRam, a ban

agenticcryptomcpopenclawpayment-gatewaypaymentsself-hostedstablecoinusdcusdt

Quick Facts

Stars155
Forks7
LanguageTypeScript
CategoryMCP Server
Quality Score69.2953160047861/100
Open Issues4
Last Updated2026-07-25
Created2025-11-25
Platformsmcp, node
Est. Tokens~20k

Compatible Skills

These tools work well together with payram-mcp for enhanced workflows:

  • ClawRouter — semantic(0.27)+complementary+rare_topics+same_lang+shared_platform (49%)
  • pinion-os — semantic(0.26)+rare_topics+same_lang+similar_pop+shared_platform (48%)

payram-mcp alternative? Top 6 similar tools

Looking for a payram-mcp alternative? If you're comparing payram-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • pinion-os by chu2bard · ⭐ 95

    Client SDK, Claude plugin and skill framework for the Pinion protocol. x402 micropayments on Base.

  • awesome-openclaw by vincentkoc · ⭐ 143

    Curated awesome list for OpenClaw (formerly Moltbot/Clawdbot): skills, plugins, memory systems, MCP tools, dep

  • agenti by nirholas · ⭐ 79

    Give any AI agent a crypto wallet. Agents deserve access to money. Pay x402 APIs, receive USDC, check balance

  • awesome-molt-ecosystem by eltociear · ⭐ 62

    The brutally honest map of where AI-agent money actually flows. Every number measured, dated, and re-checked —

  • comfyui-mcp by artokun · ⭐ 745

    Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video

  • Overture by SixHq · ⭐ 641

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

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Frequently Asked Questions

What is payram-mcp?

payram-mcp is Connect to hosted payram helper at: https://mcp.payram.com. It is categorized as a MCP Server with 155 GitHub stars.

What programming language is payram-mcp written in?

payram-mcp is primarily written in TypeScript. It covers topics such as agentic, crypto, mcp.

How do I install or use payram-mcp?

You can find installation instructions and usage details in the payram-mcp GitHub repository at github.com/PayRam/payram-mcp. The project has 155 stars and 7 forks, indicating an active community.

What are the best alternatives to payram-mcp?

The top alternatives to payram-mcp on Agent Skills Hub include pinion-os, awesome-openclaw, agenti. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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