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Sharebench
ai.sharebench/registry · v0.1.1
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | resources, tools |
| Tool definitions | 2 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client
Connect
streamable-http · https://mcp-public.sharebench.ai
claude mcp add --transport http registry https://mcp-public.sharebench.ai{
"mcpServers": {
"registry": {
"url": "https://mcp-public.sharebench.ai"
}
}
}Tools as reported by the server
searchSearch this workspace's published artifacts (skills, agents, workflows, and knowledge documents in SKILL.md format). Returns ranked metadata — name, description, type, contributor, timestamps, bundledCount, slug, authorCredit, and industries — but NOT the full body. To read an artifact's content, caget_by_idFetch the full SKILL.md content and metadata for a single artifact. Provide EXACTLY ONE of `artifactId` (the UUID returned by `search`) or `slug` (the URL-safe identifier, e.g. from a `/p/<slug>` link). Passing both or neither returns a `validation_failed` error. Use this after `search` to retrieve
Website · JSON · Text for agents · Registry updated 2026-06-24