Connect

Connect your team's AI

Paste one link into your AI app and sign in. Your AI can then use your team's skills, knowledge and memory.

  1. Open your AI app's connector settings

    In ChatGPT, Claude, Gemini and most others, look for "connectors" or "custom connector".

  2. Paste the link

    Give it a name like "Sharebench" and save.

  3. Sign in

    Use Google, Microsoft or GitHub. You're connected.

Works with
  • ChatGPT
  • Claude
  • Gemini
  • Claude Code
  • Codex
  • Grok
  • Cursor
  • GitHub Copilot
  • and more
For developersClient snippets and transport details

Endpoint https://mcp-public.sharebench.ai · transport streamable-http · read-only · no auth

Set it up

Pick your tool and paste.

Claude Code

# Add the public library 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 →

Try the public library without signing up

Connect any AI app to the public library endpoint and ask it for a skill. No account needed.

https://mcp-public.sharebench.ai