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Agent Skills Search Server: MCP server, setup and security

Agent Skills Search Server is an open-source MCP server published on GitHub that lets an AI agent search and discover Agent Skills from the skills.sh registry. Its repository has 26,559 stars and its last commit is from August 9, 2026 and it is licensed under Apache-2.0.

Actively maintainedRemote serverTop 10% by stars

What Agent Skills Search Server does

According to its repository: “Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Agent Skills Search Server is listed under Developer tools, a category of 475 servers in the directory, where it ranks #8 by stars.

Topics declared by the repository: agent-skills.

Installing and connecting Agent Skills Search Server

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Agent Skills Search Server. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on December 16, 2025, the agentskills/agentskills repository has 26,559 stars and 1,955 forks, with 49 open issues. It is one of the most starred servers in the directory. Last change 3 months ago. Version published in the registry: 1.0.0 (February 4, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6K
GitHub stars of the most followed servers in the category (log scale); Agent Skills Search Server in orange. Checked October 25, 2026.

Verdict

Agent Skills Search Server is one of the most solid servers in its category: followed, maintained and well framed.

Strengths

  • Active project: recent commit
  • Widely followed: 26.6K stars
  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (Apache-2.0)

Frequently asked questions

How do I install Agent Skills Search Server?

Agent Skills Search Server is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of agentskills/agentskills.

Is Agent Skills Search Server free?

The code is published under the Apache-2.0 licence and can be used free of charge.

Is Agent Skills Search Server safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

It is published in the MCP registry under the verified namespace ai.com.mcp, which shows the publisher controls that domain.

What are the alternatives to Agent Skills Search Server?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score