Sharebench MCP MCP server

Sharebench provides an MCP server that allows AI agents to search and pull AI skills, agents, prompts, and playbooks from the Sharebench registry. It enables teams to centralize their AI work and have agents read artifacts on demand without manual installation or copy-pasting, ensuring versions are always up to date.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Sharebench

MCP endpoint (Streamable HTTP)

https://mcp-public.sharebench.ai

Vendor documentation

What you can do with it

Pull brand voice principles from the registry
Search the public bench for marketing ideas
Apply launch strategy skills to a draft
Retrieve customer research interview synthesis

Tools advertised by the last live check:

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get_by_id

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http sharebench-mcp https://mcp-public.sharebench.ai

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add sharebench-mcp --url https://mcp-public.sharebench.ai

Cursor

Merge this server into .cursor/mcp.json in your project, then enable sharebench-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "sharebench-mcp": {
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "sharebench-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp-public.sharebench.ai",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start sharebench-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "sharebench-mcp": {
      "type": "http",
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http sharebench-mcp https://mcp-public.sharebench.ai

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "sharebench-mcp": {
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "sharebench-mcp": {
      "serverUrl": "https://mcp-public.sharebench.ai"
    }
  }
}

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