# Feishu (Lark)

> Use this tool when you need to integrate AI assistants with Feishu (Lark) for seamless collaboration and automation. It solves problems of context switching and limited AI functionality by enabling document retrieval, messaging, and other features within AI conversations. With inputs via environment variables and outputs through CLI or HTTP server, use Feishu-MCP to bridge AI capabilities with your existing Feishu workflow.

Canonical page: https://skillsregistry.net/skills/cso1z-feishu  
JSON: https://api.skillsregistry.net/v1/skills/cso1z-feishu

## Description

Feishu-MCP provides a bridge between AI assistants and Feishu (also known as Lark), ByteDance's workplace collaboration platform. Built by cso1z, this TypeScript implementation enables models to interact with Feishu's API, allowing for document retrieval, messaging, and other collaborative features directly within AI conversations. The server can be run either as a CLI application or HTTP server, with configuration handled through environment variables. It's particularly valuable for teams already using Feishu who want to integrate AI assistants into their existing workflow without switching contexts.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cso1z-feishu)
- **Repository:** <https://github.com/cso1z/feishu-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cso1z-feishu"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cso1z-feishu` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cso1z-feishu/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt