SOLO + Feishu CLI: 11 Classic Scenarios for Seamless Feishu Automation

By Li Shibo · TRAE Developer · April 13, 2026

Feishu recently released an open-source CLI library (@larksuite/cli). Compared to the previous Feishu MCP, the CLI version is far more powerful — and it works seamlessly with TRAE. In this article, the author uses the brand-new SOLO (Beta) to connect to Feishu CLI, enabling real-time Feishu control without installing anything locally.

What is Feishu CLI?

Feishu CLI is an official command-line tool designed for AI Agents and developers. It wraps Feishu's messages, documents, calendars, and other core features into concise commands — so you can control Feishu directly from tools like TRAE, without ever opening the app. Automate notifications, batch-process docs, let AI check your schedule or organize data — it all just works.

11 Real-World Scenarios

Scenario 01: Analyze Bilibili Video Comments

Combine browser automation with AI semantic analysis to perform a deep dive on any Bilibili video's comment section — sentiment classification, topic tagging, high-value comment detection, and a full data visualization page. All results are automatically written to a Feishu Bitable and a Feishu document.

Scenario 02: Summarize Internal Feishu Documents

When a colleague shares a private Feishu doc that external AI tools can't access, TRAE + Feishu CLI reads and summarizes it directly — no copy-pasting required.

Scenario 03: Schedule from a Feishu Document

Feed a task or schedule document to TRAE, and it automatically creates the corresponding calendar events in your Feishu calendar.

Scenario 04: Markdown → Feishu Document (Seamless)

Convert any Markdown file into a beautifully formatted Feishu document with one command — code blocks, tables, callouts, and multi-column layouts all preserved. Reverse export (Feishu → Markdown) is also supported.

Scenario 05: Auto-Add Comments to a Feishu Document

Too busy to review a document? Let TRAE read it and automatically add inline comments where issues are found.

Scenario 06: Auto-Revise Based on Comments

Once comments are added, TRAE can also apply all revisions automatically — and mark each comment as resolved.

Scenario 07: Analyze Group Chat Messages

Feed a Feishu group chat into TRAE, get a full analysis summary in a Feishu document, plus a visualization webpage — all in one go.

Scenario 08: Summarize a Knowledge Base

Point TRAE at a Feishu Wiki space and it summarizes all the content into a clean Feishu document.

Scenario 09: Auto-Generate a Survey Form

Describe what you need, and TRAE creates a Feishu survey form connected to a Bitable — responses flow in automatically.

Scenario 10: Bitable Data Analysis

Point TRAE at any Feishu Bitable, and it generates a Feishu dashboard plus a data visualization webpage — great for large datasets.

Scenario 11: GitHub Repo Health Check

Feed TRAE a GitHub repo URL, and it pulls issues, PRs, activity metrics, clusters duplicate problems with AI, calculates a health score, and produces a full diagnostic report in Feishu.

Summary

These 11 scenarios are just the starting point. Daily work summaries, auto meeting scheduling, content pipelines — once you start using TRAE + Feishu CLI, you'll find new automation ideas everywhere. Try it and share your own best practices in the community.