Sharebench

ai.sharebench/registry · v0.1.1

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

MCPremoteno credentialsDocuments & PDF

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 2 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 75/100

What it does: 2 tools · 2 read, 0 write · Documents & PDF, Analytics & marketing, AI & LLM

Test call get_by_id: failed — tool error: {"code":"validation_failed","message":"invalid input","fieldErrors":{"artifactId":"one of artifactId or slug is required (1,142 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +10
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +10
Read/write annotations: 0
Safe test call: 0
More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://mcp-public.sharebench.ai

Tools

2 tools listed at last check

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

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