Connect to Lark via MCP to automate messaging, calendars, docs, and bitable tasks.
This MCP tool is described as integrating with Feishu/Lark for messages, calendar, documents, and bitable operations. It is open source and does not explicitly declare environment variables or remote endpoints, but because it executes code and can access third-party collaboration data while having weak adoption and unclear maintenance, the overall posture is best rated as caution.
The materials state there are no environment variables or keys, but interacting with Feishu/Lark for the declared features would typically require session, OAuth, or platform-side authorization. With no README, the credential flow and storage model are unclear, creating configuration and misuse concerns.
Although no remote endpoint is declared, the stated functionality implies communication with Feishu/Lark services and may transmit message content, calendar data, document search queries, and bitable records to that platform. There is no evidence of unrelated or suspicious exfiltration targets, but the egress scope is underdocumented.
The system flags this tool as executes-code, meaning it runs MCP service code/processes locally. This is a normal MCP capability; the provided materials do not show requests for system privileges beyond the stated purpose, but the missing README leaves the exact callable capabilities unclear.
The declared features include sending messages, managing calendars, searching documents, and reading/writing bitable records, so it can access and modify business data in the collaboration platform. There is no evidence of unrelated local file or system data access, but the data scope, permission boundaries, and least-privilege model are not described.
Positive signals include being open source under Apache 2.0, which allows source review. However, it comes from a third-party registry, has 0 stars, unknown maintenance status, and no README, reducing verifiability and maturity. There is no clear closed-source or overtly malicious red flag, so it should not be elevated to high risk.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Lark MCP Custom" yet — see the docs or source repo.
Using the Lark MCP, send this message to the "Product Team" group: We have a release review meeting at 3 PM today. Please review the requirements document in advance and prepare feedback.
A message is sent to the specified Lark group, with a delivery result or status returned.
Using the Lark MCP, create a meeting for tomorrow from 10:00 AM to 11:00 AM titled "Weekly Project Sync". Invite the product, engineering, and design teams, and add this note: Discuss milestone progress and risks.
A Lark calendar event is created and returned with time, attendees, and event details.
Using the Lark MCP, find records in the "Project Tracker" bitable where status is "In Progress" and owner is "Zhang San", update their priority to "High", and then summarize the changes.
Matching bitable records are returned, updated successfully, and summarized in the final result.
Connect AI to Lark APIs for documents, chats, and calendar workflows.
Connect AI to Feishu/Lark for documents, messaging, scheduling, and collaboration.
Let AI send, reply to, and search Lark messages as you.
Let AI access Feishu knowledge bases and cloud docs for search and collaboration.
Connect Feishu chats with AI agents for remote messaging and streaming replies.
Monitor Feishu messages, send updates, upload files, and run scheduled automations.