# feishu-mcp

> Use this tool when you need to integrate AI coding agents with Feishu (Lark) for seamless document management, messaging, and knowledge base searching. It solves problems of manual data transfer and interaction by enabling natural language commands to perform tasks. The feishu-mcp tool takes natural language inputs and outputs Feishu interactions, making it ideal for automating workflows and enhancing productivity in contexts where AI agents and Feishu are used together.

Canonical page: https://skillsregistry.net/skills/zlplzp123wyt-feishu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zlplzp123wyt-feishu-mcp

## Description

Enables AI coding agents like Cursor and Claude Code to interact with Feishu (Lark) via the Model Context Protocol. It supports managing documents, sending messages, and searching knowledge bases directly through natural language commands.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uwi0ky1sr8)
- **Repository:** <https://github.com/zlplzp123wyt/feishu-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": "zlplzp123wyt-feishu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zlplzp123wyt-feishu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zlplzp123wyt-feishu-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