This n8n workflow creates an intelligent AI assistant connected to a Notion workspace, enabling natural language queries, task management, and content creation. Starting with a webhook trigger, it receives chat messages, processes them through a Google Gemini chat model, and uses the AI Task Planner to interpret commands. The workflow integrates a memory buffer for context retention and interacts with Notion via a custom MCP server to execute various tasks, such as creating new pages, updating content, or querying data. This setup is ideal for automating and enhancing workspace productivity with conversational AI.
**Step-by-step overview:**
1. The webhook node listens for incoming chat messages.
2. The message is processed through a Google Gemini language model, providing contextual AI responses.
3. The AI Task Planner uses the response to determine specific actions related to Notion, leveraging available tools.
4. Memory buffering ensures context is maintained across interactions.
5. Commands are sent to the Notion MCP server to perform tasks like creating or updating content in Notion.
6. The workflow includes several sticky notes to guide setup and provide tips for effective use.
**Use case:**
This workflow is particularly useful for teams or individuals looking to automate information retrieval, content creation, and task management within Notion through natural language conversations, making workspace collaboration more seamless and efficient.
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