Connect your AI assistant to Google Keep. Search, read, and manage your notes and lists through natural conversation.
Connect your AI assistant to Google Keep. Search, read, and manage your notes and lists through natural conversation. The wlater mcpserver mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
The server ships on PyPI as wlater-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the planning and project tracking options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by briansbrian; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Wlater Mcpserver's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"wlater-mcpserver": {
"command": "uvx",
"args": ["wlater-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
Issue tracking at the speed of conversation — Linear's official hosted server with OAuth and zero install.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.