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Memlane

Created By
danii12 days ago
Memlane is a personal library for links and notes you save from the web. This connector lets agents search your library by meaning, read full saved articles, capture new URLs, create and edit notes, and organize items by project or topic. Sign in once with OAuth; your assistant only sees your account. Tools include semantic search, filtered browsing, URL capture with automatic summarization, note creation, and topic tagging.
Content

@memlane/mcp

Connect Memlane, your personal library of saved links and notes, to AI assistants that support local MCP servers.

Prerequisites

  1. A Memlane account
  2. An API key from Manage → Connections → API keys in the app
  3. Node.js 18+ (for npx)

Configuration

This server runs locally via stdio. Most compatible hosts use the same JSON shape:

{
  "mcpServers": {
    "memlane": {
      "command": "npx",
      "args": ["-y", "@memlane/mcp"],
      "env": {
        "MEMLANE_API_KEY": "ml_live_…"
      }
    }
  }
}
VariableRequiredDefault
MEMLANE_API_KEYYesn/a
MEMLANE_API_URLNohttps://api.memlane.io

After npm install -g @memlane/mcp, you can use "command": "memlane-mcp" instead of npx.

Supported hosts

HostWhere to add the config
CursorSettings → MCP, or .cursor/mcp.json in a project
Claude Codeclaude mcp add memlane -- npx -y @memlane/mcp (pass -e MEMLANE_API_KEY=…)
Windsurf~/.codeium/windsurf/mcp_config.json
VS Code + Copilot.vscode/mcp.json — see below
Gemini CLI~/.gemini/settings.json

For ChatGPT and Claude Desktop, use the remote MCP endpoint instead (OAuth, no API key).

Restart the host app after editing config files.

VS Code

VS Code uses "servers" as the root key (not "mcpServers"):

{
  "servers": {
    "memlane": {
      "command": "npx",
      "args": ["-y", "@memlane/mcp"],
      "env": {
        "MEMLANE_API_KEY": "ml_live_…"
      }
    }
  }
}

Enable MCP in VS Code settings: "chat.mcp.enabled": true.

ChatGPT and remote MCP hosts

ChatGPT, Claude Desktop, Claude on the web, and other remote MCP clients cannot run npx. Use Memlane's hosted endpoint instead:

URL: https://api.memlane.io/mcp

  1. In your AI app, add a custom MCP connector with that URL.
  2. Complete the OAuth sign-in flow (Memlane account: magic link or future social providers).
  3. Approve access on the consent screen.

No API key required. Disconnect by removing the connector in your AI app's settings.

Tools

The local server exposes 10 MCP tools. Full function reference:

  • docs/TOOLS.md — what each tool does, parameters, return shapes, and workflow tips
  • docs/API.md — REST mappings, auth scopes, and curl examples
ToolDescription
search_savesSemantic search over your library
list_savesBrowse saves with filters (project, topic, kind, status)
get_saveFetch metadata; optional full markdown body
capture_urlSave a URL (enrichment runs in the background)
create_note / update_noteCreate or edit markdown notes
list_projects / list_topicsList projects and topics
add_topic_to_save / remove_topic_from_saveTag or untag a save

Security

API keys are secrets. Store them in your MCP host's environment config. Never commit them to version control. Revoke a leaked key in Manage → Connections → API keys.

License

MIT

Server Config

{
  "mcpServers": {
    "memlane": {
      "command": "npx",
      "args": [
        "-y",
        "@memlane/mcp"
      ],
      "env": {
        "MEMLANE_API_KEY": "ml_live_…"
      }
    }
  }
}
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