lucid-agents — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 daydreamsai · MCP Server · ★ 193

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

🔒 Is lucid-agents safe to install? View the security audit →

About lucid-agents

Lucid Agents The Protocol-Agnostic Multi-Runtime Framework for Building and Monetizing AI Agents Build, deploy, and monetize autonomous AI agents with typed entrypoints, onchain identity, and built-in payment infrastructure. What is Lucid Agents? Lucid Agents is a TypeScript-first framework for building and monetizing AI agents. An agentic commerce and payments SDK. Build AI agents that sell services, facilitate monetary transactions, and participate in agent-to-agent marketplaces. Core Capabilities: Industry-Standard Protocols: Native support for x402 (payments), A2A (agent-to-agent communication), and ERC-8004 (onchain identity). Build agents that

8004a2aa2a-protocolagentic-commerceagentseip8004mcpx402

Quick Facts

Stars193
Forks75
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score69.5310960253997/100
Open Issues12
Last Updated2026-07-26
Created2025-11-04
Platformscli, mcp, node
Est. Tokens~19k

lucid-agents alternative? Top 6 similar tools

Looking for a lucid-agents alternative? If you're comparing lucid-agents 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.

  • a2a-x402 by google-agentic-commerce · ⭐ 563

    The A2A x402 Extension brings cryptocurrency payments to the Agent-to-Agent (A2A) protocol, enabling agents to

  • hyperterse by hyperterse · ⭐ 84

    The agentic server framework.

  • agentarea by agentarea · ⭐ 63

    Cloud-native AI Agents orchestration platform for zero-human organizations

  • mcp-gateway-registry by agentic-community · ⭐ 939

    Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication

  • awesome-a2a by ai-boost · ⭐ 690

    Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.

  • aser by AmeNetwork · ⭐ 472

    Aser is a lightweight, self-assembling AI Agent frame.

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular TypeScript Agent Tools

Frequently Asked Questions

What is lucid-agents?

lucid-agents is Lucid Agents Commerce SDK. Bootstrap AI agents in 60 seconds that can pay, sell, and participate in agentic commerce supply chains. Our protocol agnostic SDK provides CLI-generated templates and drop-. It is categorized as a MCP Server with 193 GitHub stars.

What programming language is lucid-agents written in?

lucid-agents is primarily written in TypeScript. It covers topics such as 8004, a2a, a2a-protocol.

How do I install or use lucid-agents?

You can find installation instructions and usage details in the lucid-agents GitHub repository at github.com/daydreamsai/lucid-agents. The project has 193 stars and 75 forks, indicating an active community.

What license does lucid-agents use?

lucid-agents is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to lucid-agents?

The top alternatives to lucid-agents on Agent Skills Hub include a2a-x402, hyperterse, agentarea. 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:

View on GitHub → Browse MCP Server tools