# lark-mcp

> Use this tool when you need to integrate AI assistants with the Feishu/Lark Open Platform to automate tasks such as document processing, chat management, and calendar scheduling. It enables seamless interaction with the platform's APIs, allowing for efficient management of various workplace tasks. By leveraging lark-mcp, AI agents can process inputs like user requests and calendar events, and generate outputs like processed documents and scheduled meetings.

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

## Description

Enables AI assistants to interact with Feishu/Lark Open Platform APIs for tasks like document processing, chat management, and calendar scheduling.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cyrcdtwmb5)
- **Repository:** <https://github.com/dremaker/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": "dremaker-lark-mcp"
    }
  }
}
```

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

---
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