# lark-cli-mcp

> Use this tool when you need to integrate AI clients with Feishu/Lark messaging, enabling sending, reading, replying, and searching messages on behalf of users. It solves problems of automated communication and workflow integration, accepting user credentials and message data as inputs and producing sent or retrieved messages as outputs. Ideal for use cases requiring seamless interaction between AI agents and Feishu/Lark platforms.

Canonical page: https://skillsregistry.net/skills/yoreland-lark-cli-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yoreland-lark-cli-mcp

## Description

Enables AI clients to send, read, reply, and search messages on Feishu/Lark as the user's own identity using MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sirfczc28b)
- **Repository:** <https://github.com/yoreland/lark-cli-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": "yoreland-lark-cli-mcp"
    }
  }
}
```

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