
Agent Skills Search Server
ai.com.mcpPublished by mcp.com.aiOfficial publisherv1.0.0Updated Oct 24, 2026
Search and discover Agent Skills from the skills.sh registry. Powered by HAPI MCP server.
Overview
Lets an assistant search and discover Agent Skills from the skills.sh registry so it can find reusable instructions and workflows.
- What you can do
- This remote MCP server exposes a search capability over the skills.sh registry of Agent Skills, described as a lightweight open format for extending agents with specialized knowledge and workflows. A skill is a folder containing a SKILL.md file with metadata and instructions, optionally bundling scripts, references, templates, and other resources. The README explains that agents use progressive disclosure: they load only a skill's name and description at startup, read the full instructions when a task matches, and then execute or load bundled files as needed. The server itself is described as powered by the HAPI MCP server; no individual tools are listed in the manifest.
- When to use it
- Use it when you want an assistant to locate existing Agent Skills by topic instead of writing instructions from scratch, or to check whether a skill already covers a workflow such as legal review, data analysis, or presentation formatting. It is a discovery aid, not an execution environment: the assistant still needs a skills-compatible client to load and run whatever it finds. Skip it if you already know which skills you use or do not rely on the skills.sh registry.
- Requirements
- A remote streamable HTTP endpoint at no package installation, runtime, account, API key, environment variable, or header is declared. Network access to that endpoint is required.
Installation
In SourceWeft
- Open Agent Skills Search Server in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.com.mcp%2Fskills-search/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"agent-skills-search": {
"type": "http",
"url": "https://skills-sh.run.mcp.com.ai/mcp"
}
}
}README
Agent Skills
A standardized way to give AI agents new capabilities and expertise.
What are Agent Skills?
Agent Skills are a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows.
At its core, a skill is a folder containing a SKILL.md file. This file includes metadata (name and description, at minimum) and instructions that tell an agent how to perform a specific task. Skills can also bundle scripts, reference materials, templates, and other resources.
Why Agent Skills?
Agents are increasingly capable, but often don't have the context they need to do real work reliably. Skills solve this by packaging procedural knowledge and company-, team-, and user-specific context into portable, version-controlled folders that agents load on demand. This gives agents:
- Domain expertise: Capture specialized knowledge — from legal review processes to data analysis pipelines to presentation formatting — as reusable instructions and resources.
- Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
- Cross-product reuse: Build a skill once and use it across any skills-compatible agent.
How do Agent Skills work?
Agents load skills through progressive disclosure, in three stages:
-
Discovery: At startup, agents load only the name and description of each available skill, just enough to know when it might be relevant.
-
Activation: When a task matches a skill's description, the agent reads the full
SKILL.mdinstructions into context. -
Execution: The agent follows the instructions, optionally executing bundled code or loading referenced files as needed.
Full instructions load only when a task calls for them, so agents can keep many skills on hand with only a small context footprint.
Where can I use Agent Skills?
Agent Skills are supported by a large number of AI tools and agentic clients — see the Client Showcase to explore some of them!
Getting started
- Documentation — Guides and tutorials
- Specification — Format details
- Example Skills — See what's possible
- Discord — Share what you're building!
Open development
The Agent Skills format was originally developed by Anthropic, released as an open standard, and has been adopted by a growing number of agent products. The standard is open to contributions from the broader ecosystem — see CONTRIBUTING.md for how to get involved.
License
Code in this repository is licensed under Apache 2.0. Documentation is licensed under CC-BY-4.0. See individual directories for details.
Source: README.md at commit 69ef37e
Tools
0Version history
1- v1.0.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declaredRequired10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts