# Meegle

> Use this tool when you need to manage projects and workflows across multiple tools and interfaces, solving problems of task organization and collaboration. Meegle provides comprehensive access to 102 tools for operations on work items, subtasks, and attachments, with inputs and outputs supported through stdio, Streamable HTTP, and legacy SSE transports. It is ideal for use with MCP clients like Claude Desktop and Cursor, streamlining project management and team collaboration.

Canonical page: https://skillsregistry.net/skills/gh-pluginmd-meegle  
JSON: https://api.skillsregistry.net/v1/skills/gh-pluginmd-meegle

## Description

A community-built MCP server providing AI assistants with comprehensive access to Meegle (Feishu Project / Lark Suite) project management. Exposes 102 tools organized across 13 groups, enabling operations on work items, workflows, subtasks, comments, views, and attachments. Supports stdio, Streamable HTTP, and legacy SSE transports for use with Claude Desktop, Cursor, and other MCP clients.

## Trust

- **Trust score (0–1):** 0.78
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/gh-pluginmd-meegle)
- **Repository:** <https://github.com/pluginmd/meegle-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": "gh-pluginmd-meegle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-pluginmd-meegle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-pluginmd-meegle/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