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Connect AI to Lark APIs for documents, chats, and calendar workflows.
This MCP tool claims to interact with Feishu/Lark Open Platform APIs, but the provided materials lack README, endpoint, and permission details, leaving limited transparency. It is open source under MIT and shows no explicit secret requirement, but because it can execute code and may interact with external platform data, cautious use is recommended.
The materials explicitly state that no keys or environment variables are required, and there is no visible request for API keys, tokens, or local sensitive credentials; based on the provided facts, credential exposure appears low.
The description says it interacts with Feishu/Lark Open Platform APIs, which implies normal outbound communication of instructions or related data to an external service; however, no specific domains, endpoints, or data flow scope are provided.
The system checks indicate this tool has executes-code capability, meaning it can run code or processes locally; this is a common MCP capability, but the materials do not define the exact execution boundaries or system permission scope.
Its stated functions include document processing, chat management, and calendar scheduling, so it may handle user business data within Feishu/Lark; however, there is no description of local file access scope, data minimization, or permission controls.
There is a public GitHub repository and it is open source under MIT, which are meaningful risk-reducing factors; however, the source is a third-party registry, community adoption is 0 stars, maintenance status is unknown, and the README is missing, so supply-chain confidence remains limited.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lark-mcp" yet — see the docs or source repo.
Connect to Lark, read the project weekly reports in the specified knowledge base, extract this week's progress, risks, and action items, and compile them into a one-page summary.
A clearly structured summary containing progress, risks, and action items.
Review messages from the Lark project group over the last three days, summarize all discussions mentioning 'launch', 'blocker', or 'requirement change', and create a follow-up list.
A discussion summary and an actionable follow-up checklist.
Based on team members' availability in Lark Calendar, schedule a 30-minute review meeting next week and generate the meeting title, suggested time, and invitation note.
Suitable meeting time suggestions and a ready-to-send invitation message.
Connect AI to Feishu/Lark for documents, messaging, scheduling, and collaboration.
Let AI send, reply to, and search Lark messages as you.
Connect Feishu chats with AI agents for remote messaging and streaming replies.
Let AI access Feishu knowledge bases and cloud docs for search and collaboration.
Connect Claude to Lark to read docs, wiki pages, and messages.
Use Feishu spreadsheets as searchable long-term memory for AI agents.