ai.com.mcp/skills-search

ai.com.mcp/skills-search

Unclaimed verified 27 jul 2026
score · 29  ]
Pricing: Free Company: agentskills Last verified: 2026-07-27
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TL;DR

ai.com.mcp/skills-search is a discovery tool for the Model Context Protocol (MCP) that allows AI agents to search and retrieve procedural knowledge from the skills.sh registry. It acts as a bridge between an agent's connectivity (MCP) and its instructional guidance (Agent Skills), enabling 'on-the-fly' capability expansion.

What Users Actually Pay

No user-reported pricing yet.

Our Take

This product represents a pivotal shift toward a standardized 'package manager' for AI agent logic. While MCP servers provide the raw plumbing to connect agents to APIs and databases, ai.com.mcp/skills-search provides the intelligence layer—allowing an agent to autonomously find the 'user manual' (SKILL.md) for a specific task without bloating the initial system prompt. By adopting a 'search-then-execute' pattern, it solves the context window exhaustion problem that plague agents with too many native tools. Strategically, it positions agentskills.io and the skills.sh registry as the 'npm' of the agentic web. The integration with security partners like Snyk indicates a high level of maturity regarding the supply chain risks associated with third-party agent instructions. However, its utility is currently locked into the MCP ecosystem, making it a specialized power tool for developers using Claude Code, Cursor, or custom MCP-based agents. For enterprise users, the most significant advantage is the ability to maintain internal, private registries of skills that can be discovered by agents using this same protocol. It effectively transforms static SOPs into executable, discoverable agent capabilities. As the ecosystem matures, this will likely become a default component for any autonomous agent architecture.

Alternatives

Ranked by Revuo score — paid tiers never affect order.

Pros

  • + Significant context savings by allowing agents to fetch instructions only when needed rather than loading all tools upfront.
  • + Open-standard architecture (SKILL.md) ensures portability across different AI IDEs like Cursor, Claude Code, and Windsurf.
  • + Integrated security scanning via the Snyk/Vercel partnership reduces the risk of 'prompt injection' or malicious tool usage.
  • + Highly discoverable via the official MCP registry, making it easy to add to existing agent workflows with a single configuration line.

Cons

  • - The multi-step 'search -> read -> execute' flow can occasionally lead to increased latency or reasoning loops if the agent fails to find the correct skill.
  • - Heavily dependent on the growth and quality of the skills.sh community registry to remain useful for broad applications.
  • - Requires a relatively high level of technical proficiency to set up and configure within custom MCP environments compared to basic prompt engineering.

Agent Readiness

52/100

The product is built specifically for AI agents, scoring near the top of agent readiness. It utilizes the Model Context Protocol (MCP), a standard designed for model-to-tool communication. Because it is an infrastructure component that facilitates discovery for other tools, its 'integration' isn't with platforms like Zapier but rather directly with the LLM runtimes themselves (Claude, OpenAI). Documentation is highly technical and provides clear specifications for the SKILL.md format and MCP server configuration.

API Surface100
Public APIJSON-RPCMCPFree TieropenApi
Protocol Support0
MCP (0 tools)
SDK Availability35
npm: skills
Integration Ecosystem25
WebhooksClaude CodeCursorWindsurfVercel AI SDKGitHub Copilot
Developer Experience85
Docs: excellentSandboxVersioningChangelog

Last checked Mar 29, 2026

MCP Integrations

1 server
ai.com.mcp/skills-searchai.com.mcp/skills-search
officialRemoteHigh match

Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.

Last checked Jul 31, 2026

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