MyPenny MCP MCP server

MyPenny is a portable AI memory service that allows agents to access, search, create, and manage user notes, profiles, tasks, projects, and saved skills via the Model Context Protocol. It supports OAuth authentication for secure access to personal data across various AI clients.

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 Penny

MCP endpoint (Streamable HTTP)

https://app.mypenny.ai/mcp

Vendor documentation

What you can do with it

Search and read user notes and profile context
Create and update tasks, projects, and trackers
Manage saved skills and memory tags
Initialize secure OAuth connections for AI clients

Tools advertised by the last live check:

penny_get_skill
penny_start_setup
penny_session_start
penny_read
penny_write
penny_edit
penny_delete

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 mypenny-mcp https://app.mypenny.ai/mcp

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 mypenny-mcp --url https://app.mypenny.ai/mcp

Cursor

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

Cursor configuration

{
  "mcpServers": {
    "mypenny-mcp": {
      "url": "https://app.mypenny.ai/mcp"
    }
  }
}

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": {
    "mypenny-mcp": {
      "type": "streamableHttp",
      "url": "https://app.mypenny.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

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

VS Code configuration

{
  "servers": {
    "mypenny-mcp": {
      "type": "http",
      "url": "https://app.mypenny.ai/mcp"
    }
  }
}

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 mypenny-mcp https://app.mypenny.ai/mcp

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": {
    "mypenny-mcp": {
      "url": "https://app.mypenny.ai/mcp"
    }
  }
}

Windsurf

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

Windsurf configuration

{
  "mcpServers": {
    "mypenny-mcp": {
      "serverUrl": "https://app.mypenny.ai/mcp"
    }
  }
}

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