# Feishu

> Use this tool when you need to integrate AI assistants with Feishu's collaborative workspace to retrieve document content. It solves the problem of manual data transfer by providing a bridge between Claude and Feishu, enabling automated fetching of document content by ID. The tool takes app credentials and document IDs as inputs and outputs the corresponding document content, making it ideal for workflows that require analyzing or referencing Feishu-stored content.

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

## Description

Feishu Tools MCP Server provides a bridge between Claude and Feishu (also known as Lark), enabling AI assistants to retrieve document content from Feishu's collaborative workspace. Built by Li-vien, this Node.js implementation authenticates with the Feishu API using app credentials and offers a tool for fetching document content by ID. The server supports both HTTP and stdio transport modes, making it versatile for different integration scenarios. It's particularly useful for workflows that require analyzing, referencing, or working with content stored in Feishu documents without manual copying and pasting.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/li-vien-feishu)
- **Repository:** <https://github.com/vienli/lark-tools-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": "li-vien-feishu"
    }
  }
}
```

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