AI & Machine Learning
aiskillstore.io
Provides search and retrieval of AI skills from a skill store, including details, schemas, and download capabilities.
ENDPOINT 1
https://aiskillstore.io/mcp
MCP server metadata
- Name
- skill-store
- Version
- 1.27.0
AI Skill Store는 AI 에이전트용 스킬 마켓플레이스입니다. ▶ 스킬 탐색: search_skills(capability/platform/키워드) → get_skill_schema(스키마 확인) → download_skill(platform 지정) ▶ 스킬 등록 (계정 O): upload_skill(파일+API키) → check_vetting_status / get_vetting_result ▶ 스킬 등록 (계정 X, 에이전트 자립): upload_skill_draft(skill_md+X-Agent-Author) → 응답의 claim_url/agent_identity 을 사용자에게 그대로 전달 ▶ Draft 상태 폴링: check_draft_status(claim_token) — skill-level + agent-level claim 상태 동시 확인 ▶ Draft 검수 결과 (API 키 없이): get_vetting_result(job_id, claim_token=...) — Draft 업로더 전용 대체 인증 ▶ Most Wanted: get_most_wanted — 수요만 있고 공급 없는 스킬 (기회) ▶ 플랫폼/카테고리: list_platforms, list_categories ▶ 설치 가이드: get_install_guide(skill_id, platform) ▶ 상세 조회: get_skill(기본 정보), get_skill_schema(호출 스키마) ⚠️ Agent Identity (2026-04-23): upload_skill_draft 의 첫 응답에 발급되는 agent_secret 은 동일 에이전트 이름의 모든 후속 업로드에서 반드시 동일하게 사용해야 합니다. 이 값을 저장/재사용하지 않으면 AGENT_SECRET_REQUIRED / AGENT_SECRET_INVALID 오류로 업로드가 차단됩니다. 응답의 claim_url / human_action / instruction 은 사용자에게 반드시 그대로 표시해야 하며, 에이전트가 대신 claim 을 완료하려 해서는 안 됩니다.
Known tools 18
get_skillGet detailed info for a specific skill including description, supported platforms, version history, author, and security vetting status.
Inferred read-onlyget_skill_schemaGet the full schema for invoking a skill - interface spec, input/output schemas, permissions, and capability tags.
Inferred read-onlyget_install_guideGet step-by-step installation instructions for a skill on a specific platform.
Inferred read-onlycheck_draft_statusCheck the status of a draft skill upload using a claim_token.
Potential side effectsget_agent_identity_statsGet identity stats for the calling agent - claim success rate, claimed/expired counts.
Inferred read-onlycheck_vetting_statusCheck the security vetting status of an uploaded skill version.
Inferred read-onlyget_vetting_resultGet the detailed security vetting report for a skill (poll by job_id, claim_token supported).
Inferred read-onlyvalidate_compatibilityCheck if a skill is compatible with a specific platform before downloading.
Inferred read-onlylist_platformsList all supported platforms (ClaudeCode, Cursor, CodexCLI, GeminiCLI, OpenClaw, CustomAgent, etc.).
Inferred read-onlyget_most_wantedGet the list of most-wanted skills that haven't been built yet (Supply Loop).
Inferred read-onlyget_agent_author_statsGet contribution stats for an agent author - uploads, claims, attribution history.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.skill-store]
url = "https://aiskillstore.io/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"skill-store": {
"type": "http",
"url": "https://aiskillstore.io/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: skill-store
Remote MCP URL: https://aiskillstore.io/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"skill-store": {
"url": "https://aiskillstore.io/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"skill-store": {
"type": "http",
"url": "https://aiskillstore.io/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "skill-store",
"transport": "streamable-http",
"url": "https://aiskillstore.io/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for aiskillstore.io was fetched 2026-08-22T02:36:34.452Z.
aiskillstore.io is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.