# feishu_mcp_server

> Use this tool when you need to integrate large language models (LLMs) with Feishu (Lark) bots to execute business logic and automate tasks. It enables interaction between LLMs like Claude/Cursor and Feishu robots through the MCP protocol, allowing for seamless execution of APIs. Ideal for use cases requiring automation of business processes and workflows within the Feishu ecosystem.

Canonical page: https://skillsregistry.net/skills/chenzhi-ana-feishu-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chenzhi-ana-feishu-mcp-server

## Description

Enables Claude/Cursor to interact with Feishu (Lark) bots through MCP, allowing LLMs to execute business logic via Feishu robot APIs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t9kjzx5l0u)
- **Repository:** <https://github.com/Chenzhi-Ana/feishu_mcp_server>

## 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": "chenzhi-ana-feishu-mcp-server"
    }
  }
}
```

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