MCPxel

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MCPxel is an AI Agents & Automation tool that provides an audited directory for Model Context Protocol (MCP) agent skills. It features AI-powered code reviews, security insights, and standardized installation guides for agents like Claude.

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At a glance

Pricing

Freemium · Paid

Free tier

Yes

API

Skill level

Technical

About

What is MCPxel?

MCPxel serves as a trusted directory for Model Context Protocol (MCP) tools, specifically focusing on agent skills for platforms like Claude. It aims to eliminate the guesswork involved in finding and installing reliable agent skills by offering an audited system. The platform provides AI-powered code reviews, security insights, and standardized installation guides, transforming the process of integrating new capabilities into a seamless experience. Users can browse S-Tier and top-rated skills, view audit reports, and copy one-click install commands. MCPxel also features a robust review system, risk-first analysis, and continuous tracking of skill updates, ensuring developers can confidently choose and deploy agent skills.

Best used for

Ideal for developers and startup founders who need to find, evaluate, and integrate reliable AI agent skills for platforms like Claude. Especially valuable for ensuring the quality, security, and ease of installation of new agent capabilities without extensive manual vetting.

Common actions

discover agent skills

evaluate AI tools

integrate AI agents

audit code quality

analyze security risks

artificial intelligenceDeveloper Toolsopen-source

Capabilities

Key features

Audited agent skill directory
AI-powered code reviews
Security risk analysis
Standardized install guides
Capability search
Skill rating system

Target Audience

developerstartup founder

Integrations

Not yet documented

Pricing & Plans

Freemium · Paid

Not publicly disclosed. Check mcpxel.com for current pricing.

FAQs

What is the Model Context Protocol (MCP) and how do Agent Skills relate to it?

MCP is an open standard enabling AI agents like Claude to securely interact with external tools and data. Agent Skills are concrete, ready-to-use MCP servers and configurations, acting as specific power adapters that plug into the MCP 'socket' standard, such as file browsers or custom APIs.

How does MCPxel rate agent skills?

MCPxel uses an automated AI agent powered by DeepSeek V3 to analyze READMEs, code structure, and documentation. It scores skills across five dimensions: Clarity, Utility, Completeness, Maintainability, and Novelty, resulting in an S/A/B/C/D tiering system.

Can I submit my own agent skill to MCPxel?

Currently, public submissions are not supported. MCPxel curates and ingests skills internally, often via crawlers, to maintain consistent quality during its MVP phase. They are working towards building automated crawling and rating systems.

Does MCPxel support private GitHub repositories for auditing?

No, currently MCPxel only supports public GitHub repositories to ensure transparency for the community. They are actively working on developing a secure method to audit private repositories in the future.

How often are the skill ratings updated?

MCPxel re-evaluates skills whenever significant updates occur in the repository or upon user request. Users can also manually trigger a re-audit from the skill's detail page to ensure the ratings reflect the latest version.

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