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Use Feishu spreadsheets as searchable long-term memory for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "feishu-memory-mcp" yet — see the docs or source repo.
Use my project notes, meeting minutes, and FAQs in Feishu spreadsheets as long-term memory, and retrieve relevant content before answering my questions.
The AI retrieves historical content from Feishu spreadsheets and produces context-aware, retrieval-augmented answers.
Find discussions and conclusions about pricing strategy from the past three months in my Feishu spreadsheets, then summarize key decisions and owners.
Returns a concise summary of relevant records, including key decisions, timeline, and responsible owners.
Use the writing preferences, common terms, and task context stored in my Feishu spreadsheets as memory, and automatically reference them in future content generation.
The AI automatically follows saved personal preferences and background context in future writing or responses.
Connect AI to Lark APIs for documents, chats, and calendar workflows.
Monitor Feishu messages, send updates, upload files, and run scheduled automations.
Read Feishu docs and wiki pages with content and metadata via MCP.
Connect to Lark via MCP to automate messaging, calendars, docs, and bitable tasks.
Connect Feishu chats with AI agents for remote messaging and streaming replies.
Connect Feishu/Lark OpenAPI to AI assistants for docs, chats, and scheduling.