# lark-tools-mcp

> Use this tool when you need to integrate Lark with cursor for enhanced productivity, enabling features like document reading, messaging, task processing, and data analysis. It solves problems of disconnected workflows and limited functionality by providing a unified interface for various operations. The tool takes Lark data as input and outputs processed information and actions in cursor.

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

## Description

lark-tools-mcp connects Lark and cursor.
It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uu91n3v8ax)
- **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": "vienli-lark-tools-mcp"
    }
  }
}
```

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