# Feishu/Lark

> Use this tool when you need to integrate AI models with Feishu/Lark's collaboration suite, enabling seamless interactions between AI assistants and productivity tools. It solves problems of fragmented workflows and limited automation by providing a standardized interface for AI-powered workflows. The tool takes in AI model inputs and outputs MCP-compatible data, ideal for use cases where AI-driven decision-making meets team collaboration.

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

## Description

Lark OpenAPI MCP is a Node.js implementation that integrates Feishu/Lark's API capabilities with the Model Context Protocol. Developed by Lark Technologies, this server enables AI assistants to interact with Lark's collaboration suite through standardized MCP interfaces. The implementation leverages the official Lark Node.js SDK and MCP SDK to provide a bridge between AI models and Lark's productivity tools. It supports Node.js 16.20.0+ and includes CLI functionality for easier deployment and management, making it ideal for building AI-powered workflows within Lark's ecosystem.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lark-feishu)
- **Repository:** <https://github.com/larksuite/lark-openapi-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": "lark-feishu"
    }
  }
}
```

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