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Let AI access Feishu knowledge bases and cloud docs for search and collaboration.
This is an open-source MCP server with no explicit extra secrets or undisclosed endpoints shown in the materials, and no clear high-risk red flags are evident. However, it is designed to access Feishu/Lark cloud knowledge bases and documents and can execute code, while coming from a third-party registry with low community adoption, so it should be used with least-privilege controls.
The materials state that no secrets or environment variables are required, but the tool claims to access Feishu/Lark knowledge bases and cloud documents, so the actual authentication model is undocumented here. There is no evidence that it explicitly requests local sensitive credentials, but users should verify whether it relies on external sessions or later-provided access tokens.
Although the listed remote host is 'none', the stated functionality implies interaction with Feishu/Lark cloud services and may send user queries or document content to those services. The materials do not document exact domains, data flows, or transmission boundaries, so transparency is limited.
The objective checks mark this tool as executes-code, meaning it has the normal MCP capability to run code or processes locally. There is no evidence here of system privileges clearly exceeding its stated purpose, but it should still be run in a constrained environment.
The description indicates access to Feishu/Lark knowledge bases and cloud documents, so the reachable data may include enterprise content visible to the connected account. The materials do not specify local file read/write behavior or fine-grained permission boundaries, so least-privilege access should be enforced.
Positive factors are that it is open source under the ISC License and the code is auditable. However, it comes from a third-party registry, has only 0 GitHub stars, and its maintenance status is unknown, so supply-chain maturity and maintenance signals are weak; code and dependencies should be reviewed before deployment.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "feishu-mcp-server" yet — see the docs or source repo.
Using the Feishu MCP, find knowledge base pages and cloud documents related to “Q3 product launch,” then summarize the launch date, owners, key risks, and open action items in English.
A concise project summary based on Feishu materials, including key details and action items.
Please read all Feishu meeting notes related to this week’s marketing syncs, extract recurring issues, confirmed decisions, and cross-team follow-up items, and return them as a bullet list.
A structured highlights list for quickly reviewing decisions and next steps.
Based on Feishu knowledge base entries and cloud docs, answer: “What processes must a new employee complete in the first week?” List the steps in chronological order and include the relevant document names.
A step-by-step internal process guide with the source documents clearly referenced.
Read Feishu docs and wiki pages with content and metadata via MCP.
Connect AI to Feishu/Lark for messaging, docs, sheets, groups, and knowledge search.
Monitor Feishu messages, send updates, upload files, and run scheduled automations.
Use Feishu spreadsheets as searchable long-term memory for AI agents.
Connect Feishu chats with AI agents for remote messaging and streaming replies.
Connect Lark project management with AI for task operations and workflow automation.