Summary
Google Keep is widely used for personal knowledge management and quick notes. Adding an official MCP connector for Keep would enable AI agents to read, search, and create notes directly.
Problem
There is no MCP server for Google Keep in the official Google MCP collection. Users who rely on Keep for notes have no way to integrate it with AI agent workflows via MCP.
Proposed Solution
Add a new google-keep MCP server (or connector within an existing server) that exposes Keep's core capabilities:
- keep_list — list all notes (with optional label/filter)
- keep_get — retrieve a single note by ID
- keep_create — create a new text or checklist note
- keep_update — update an existing note
- keep_delete — trash a note
- keep_search — full-text search across notes
Use Case
An AI agent reads from a user's Keep notes to contextually assist with writing, research, or task planning, or creates a new note to save agent-generated content.
Notes
Keep has a REST API and a Python client library. This connector would follow the same pattern as other google/mcp connectors.
Summary
Google Keep is widely used for personal knowledge management and quick notes. Adding an official MCP connector for Keep would enable AI agents to read, search, and create notes directly.
Problem
There is no MCP server for Google Keep in the official Google MCP collection. Users who rely on Keep for notes have no way to integrate it with AI agent workflows via MCP.
Proposed Solution
Add a new google-keep MCP server (or connector within an existing server) that exposes Keep's core capabilities:
Use Case
An AI agent reads from a user's Keep notes to contextually assist with writing, research, or task planning, or creates a new note to save agent-generated content.
Notes
Keep has a REST API and a Python client library. This connector would follow the same pattern as other google/mcp connectors.