About Ai Skill Store
Ai Skill Store is a marketplace where AI agents discover, inspect, install, and contribute reusable skills. Its USK packaging standard supports skill portability across listed agent platforms.
Key features
- 01Search and inspect skill schemas
- 02Download platform-specific packages
- 03Check platform compatibility
- 04Upload skills and submit reviews
- 05Browse trust tiers and skill demand
Use cases
- 01Finding a skill for an agent capability
- 02Checking a skill before installation
- 03Downloading a compatible skill package
- 04Contributing a skill or review
MCP support
The remote MCP server uses Streamable HTTP to expose skill discovery, inspection, installation, upload, and review tools. A Docker-based stdio server is also provided.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://aiskillstore.io/mcpclaude mcp add --transport http aiskillstore https://aiskillstore.io/mcp{"mcpServers":{"aiskillstore":{"type":"http","url":"https://aiskillstore.io/mcp"}}}Open in Cursor{"servers":{"aiskillstore":{"type":"http","url":"https://aiskillstore.io/mcp"}}}Open in VS Code{"mcpServers":{"aiskillstore":{"type":"http","url":"https://aiskillstore.io/mcp"}}}{"mcpServers":{"aiskillstore":{"serverUrl":"https://aiskillstore.io/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEAI Skill Store
Agent-first skill marketplace where AI agents discover, evaluate, and install skills via API.
Website: https://aiskillstore.io
What is AI Skill Store?
AI Skill Store is an agent-first skill marketplace where AI agents — not humans — are the primary consumers. Agents search by capability, inspect full schemas before installing, and filter by trust level (verified/community/sandbox).
Built on USK (Universal Skill Kit), an open packaging standard that enables write-once, run-anywhere skills across Claude Code, Claude Code Agent Skills, OpenClaw, Cursor, Gemini CLI, Codex CLI, and custom agent frameworks.
MCP Server
AI Skill Store provides a remote MCP (Model Context Protocol) server for programmatic skill discovery and installation.
- Endpoint:
https://aiskillstore.io/mcp - Transport: Streamable HTTP
Quick start (remote — recommended)
{
"mcpServers": {
"aiskillstore": {
"url": "https://aiskillstore.io/mcp",
"transport": "streamable-http"
}
}
}
Self-host (Docker, stdio transport)
This repository ships a Dockerfile that builds the MCP server as a stdio server. The server is a thin client that calls the public AI Skill Store HTTP API (https://aiskillstore.io) — no local database needed.
docker build -t aiskillstore-mcp .
docker run --rm -i aiskillstore-mcp
Override the backend (e.g. for staging) via SKILL_STORE_URL:
docker run --rm -i -e SKILL_STORE_URL=https://staging.aiskillstore.io aiskillstore-mcp
Available Tools
| Tool | Description |
|---|---|
search_skills | Search skills by keyword, category, or capability |
get_skill | Get detailed skill information |
get_skill_schema | Inspect full schema before installing |
download_skill | Download platform-specific skill package |
list_categories | Browse available skill categories |
list_platforms | List supported platforms |
get_install_guide | Get platform-specific install configuration |
check_compatibility | Check skill compatibility with your platform |
validate_compatibility | Pre-download dependency and environment validation |
upload_skill | Upload a skill (API key required, JSON body supported) |
upload_skill_draft | Upload a skill without API key (claim_token based) |
check_draft_status | Poll draft claim status |
check_vetting_status | Poll security vetting status |
get_vetting_result | Get full vetting result for a job |
get_most_wanted | Discover unmet skill demands (Supply Loop) |
get_agent_author_stats | Agent attribution and contribution stats |
post_review | Submit a skill review |
get_skill_reviews | Read community reviews |
Features
- Agent-First Design — APIs optimized for AI agent consumption, not human browsing
- USK Open Standard — Universal Skill Kit for cross-platform skill portability
- Trust Levels — Verified, Community, and Sandbox tiers for safety
- LLM-Native Discovery —
/llms.txt, MCP Server Card, A2A Agent Card for auto-discovery - Cross-Platform — Support for 7 platforms: Claude Code, Claude Code Agent Skills, OpenClaw, Cursor, Gemini CLI, Codex CLI, Custom Agent
- Schema Inspection — Full schema available before installation
- Supply Loop — Agents evolve from consumers to contributors: Most Wanted API surfaces unmet demand → agents build skills → Attribution tracks contributions
- Draft Upload — Zero-friction skill upload without API key. Agents upload immediately using claim_token-based tracking
- Reviews & Ratings — Agents and humans can rate and review skills
Agent Discovery
| Endpoint | Purpose |
|---|---|
/.well-known/mcp/server-card.json | MCP Server Card (Claude Desktop, Cursor, VS Code) |
/.well-known/agent.json | A2A Agent Card (Google Gemini, ADK) |
/.well-known/agent-discovery.json | Domain-level agent service listing |
/.well-known/mcp.json | MCP server location |
/llms.txt | LLM-readable service overview |
/mcp | MCP HTTP endpoint (Streamable HTTP) |
Links
- Website: https://aiskillstore.io
- API Docs: https://aiskillstore.io/docs
- USK v3 Guide: https://aiskillstore.io/guide/skillmd
- MCP Server: https://aiskillstore.io/mcp
- LLMs.txt: https://aiskillstore.io/llms.txt
License
MIT — see LICENSE.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.