# lark-mcp-bridge

> lark-mcp-bridge — oliclee-lark-mcp-bridge. Use this tool when you need to integrate AI assistants with Feishu/Lark without creating a custom app, enabling them to operate the platform seamlessly. It solves the problem of limited AI access to Feishu/Lark by wrapping lark-cli with an MCP Server, allowing AI agents like Quick, Claude, Cursor, and Codex to interact with the platform. This bridge takes AI commands as input and outputs the corresponding Feishu/Lark actions, streamlining workflow automation and collaboration.

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

## Description

MCP Server wrapping lark-cli — let AI assistants (Quick, Claude, Cursor, Codex) operate Feishu/Lark without creating an app

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Oliclee/lark-mcp-bridge)

## 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": "oliclee-lark-mcp-bridge"
    }
  }
}
```

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