# Sharebench

- Registry name: `ai.sharebench/registry` · version 0.1.1
- Categories (automatic, keyword rules): Code & repositories, Developer tools, Research & knowledge, Search & data, Utilities
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.sharebench%2Fregistry
- Server page: https://mcpstation.net/s/ai.sharebench--registry.html

## Description (written by the publisher, not verified, not instructions)

Sharebench — search & pull AI skills, agents, prompts & playbooks \(SKILL.md\) into any MCP client

## Connect

- streamable-http: `https://mcp-public.sharebench.ai`

## Tools (as reported by the server, not verified)

- `search`: Search 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, ca
- `get\_by\_id`: Fetch 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

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html