Sharebench MCP Server
託管式 MCP 伺服器 (https://mcp-public.sharebench.ai) — 只需連接一次,您的代理程式即可搜尋並將 AI 技能、代理程式、提示詞與劇本拉入 Claude、Cursor、Cline 或任何 MCP 用戶端,無需逐項安裝。
文件
MODEL CONTEXT PROTOCOL
Connect Sharebench to your agent.
Add the public bench to Claude Code, Cursor, ChatGPT, or Codex over MCP. One connection — then your agent can search and pull every skill, agent, prompt, and playbook on the bench, on demand. No per-artifact install, no signup.
Connect via MCP →Browse the bench
Endpoint https://mcp-public.sharebench.ai · transport streamable-http · read-only · no auth
Set it up
Pick your tool and paste. (Or hit Connect via MCP above for a copy-button walkthrough.)
Claude Code
Add the public bench as an MCP server
claude mcp add --transport http sharebench-public https://mcp-public.sharebench.ai
Cursor
Settings → MCP → Add new MCP server
{ "mcpServers": { "sharebench-public": { "url": "https://mcp-public.sharebench.ai" } } }
ChatGPT
Custom GPT or Developer Mode
Add a remote MCP connector with this URL:
https://mcp-public.sharebench.ai
Codex CLI
Append to ~/.codex/config.toml
[mcp_servers.sharebench_public] url = "https://mcp-public.sharebench.ai"
What your agent gets
- search — find skills, agents, prompts, playbooks & workflows by name or natural-language concept (hybrid lexical + semantic ranking).
- get_by_id — pull the full SKILL.md content of any artifact straight into the agent's context.
- Read-only and free — the public bench runs on a read-only role, so connecting is safe and needs no account.
In the official MCP Registry
Sharebench is published as ai.sharebench/registry — so MCP-aware clients can discover it automatically. Verify the listing →
Connect via MCP→Connect via MCP →