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Feishu MCP Bot: Workflow Automation & Enterprise Collaboration - MCP Implementation

Feishu MCP Bot: Workflow Automation & Enterprise Collaboration

Feishu MCP Bot: Seamlessly integrate real-time messaging via MCP protocol, empowering teams to automate workflows and boost collaboration with effortless, enterprise-grade communication.

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About Feishu MCP Bot

What is Feishu MCP Bot: Workflow Automation & Enterprise Collaboration?

Feishu MCP Bot is a middleware solution that bridges Large Language Models (LLMs) like Claude or Cursor with Feishu's robotic automation capabilities. By leveraging the MCP Server architecture, it enables businesses to inject AI-driven decision-making into routine workflows, such as automated report generation, ticket triage, or cross-departmental notifications. Think of it as the "smart conductor" that coordinates between human intelligence and enterprise-grade automation tools.

How to use Feishu MCP Bot: Workflow Automation & Enterprise Collaboration?

  1. Deploy the MCP Server instance using npx -y @smithery/cli install @Chenzhi-Ana/feishu_mcp_server --client claude
  2. Configure your Feishu webhook endpoint in bot.py with your specific workspace credentials
  3. Trigger workflows via LLM clients by sending structured JSON requests containing business logic parameters

Pro tip: Use Feishu's chat interface to debug API calls during initial setup – it's the fastest way to verify message routing.

Feishu MCP Bot Features

Key Features of Feishu MCP Bot: Workflow Automation & Enterprise Collaboration?

  • Zero-code workflow orchestration through standardized API endpoints
  • LLM model flexibility – supports both Claude and Cursor with no code changes
  • Production-ready logging and error handling via MCP Server's built-in monitoring
  • Granular access control through Feishu's enterprise authentication layers

Use cases of Feishu MCP Bot: Workflow Automation & Enterprise Collaboration?

Real-world implementations we've seen:

  • Customer Support: Automatically categorize support tickets and assign to relevant teams using LLM-powered intent analysis
  • Project Management: Generate sprint reports by pulling data from Feishu Docs and formatting with Cursor's prose generation
  • IT Operations: Trigger incident alerts across multiple channels when monitoring tools detect anomalies

Feishu MCP Bot FAQ

FAQ from Feishu MCP Bot: Workflow Automation & Enterprise Collaboration?

Does this require coding skills?
Basic Python knowledge helps for customization, but the core installation is CLI-driven. We recommend starting with our pre-configured Smithery template.
What's the cost implication?
Free for the open-source MCP components, but you'll incur standard Feishu API usage fees and LLM token costs depending on workflow complexity.
Can I use this with personal Feishu accounts?
Technically yes, but we strongly recommend enterprise accounts for proper permissions management and SLAs.

Content

飞书MCP机器人

smithery badge

目标

通过将飞书机器人用MCP server 代理,可以让cursor或者Claude的用户,可以结合LLM的模型后使用飞书机器人执行业务逻辑

+----------------+      +-------------+      +-------------+      +----------------+
|                |      |             |      |             |      |                |
| Claude/Cursor  |----->| MCP Client  |----->| MCP Server  |----->| 飞书机器人      |
|                |      |             |      |             |      |                |
+----------------+      +-------------+      +-------------+      +----------------+


调用流程说明:
1. Claude/Cursor 通过 MCP Client 发送请求
2. MCP Client 将请求转发给 MCP Server
3. MCP Server 处理请求并调用飞书机器人API
4. 飞书机器人与飞书API交互

``

## 配置
uv --directory YOUR_PATH run bot.py --webhook YOUR_WEB_HOOK

替换这两部分为你的路径和机器人地址即可

### Installing via Smithery

To install feishu_mcp_server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@Chenzhi-Ana/feishu_mcp_server):

```bash
npx -y @smithery/cli install @Chenzhi-Ana/feishu_mcp_server --client claude

Installing Manually

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