# Lark

> Use this tool when you need to integrate AI assistants with the Lark/Feishu workplace collaboration platform to access employee information and messaging capabilities. It provides a standardized interface for retrieving user data and sending messages, handling authentication and API connections seamlessly. Ideal for organizations using Lark/Feishu, it enables AI assistants to access company directory information without context switching.

Canonical page: https://skillsregistry.net/skills/lorrylockie-lark  
JSON: https://api.skillsregistry.net/v1/skills/lorrylockie-lark

## Description

Lark MCP Server provides a bridge between AI assistants and Lark/Feishu workplace collaboration platform, enabling access to employee information and messaging capabilities through a standardized interface. Built with TypeScript and the Model Context Protocol, it exposes tools for retrieving user data from Lark's Contact API and sending messages to users. The server handles authentication through app credentials provided via command line arguments or environment variables, manages API connections with automatic token management, and properly formats responses for AI consumption. This implementation is particularly valuable for organizations using Lark/Feishu who want their AI assistants to access company directory information without switching contexts.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

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