
Lark Mcp
This MCP integration connects Claude directly to Lark/Feishu's APIs for messaging, group management, and document operations. You can send messages to channels, create groups with proper ownership, manipulate Bitable spreadsheets, and search through documents and wikis. The skill handles the tricky authentication differences between tenant and user modes, which matters when you need users to actually access the resources you create. Watch out for the OAuth requirement on document search and the JSON string formatting for message content. It's solid for automating Lark workflows without switching between apps.
- skills.sh installs
- 3.1K
- GitHub stars
- 37
- last updated
- Jul 14, 2026
Install
$ npx -y skills add whatevertogo/feishuskill --skill lark-mcp --agent claude-codeInstalls into .claude/skills of the current project.
Files
Lark MCP
⚠️ 重要提醒
搜索文档/知识库必须配置 OAuth:
docx_builtin_search→ 需要--oauthwiki_v1_node_search→ 需要--oauth
否则返回 99991663 错误。配置方法见 installation.md
核心规则
# 工具命名(连字符,非下划线)
✅ mcp__lark-mcp__tool_name
❌ mcp__lark_mcp__tool_name
# 参数结构
path: {app_token, table_id} # URL路径参数
params: {page_size, ...} # 查询参数
data: {fields, ...} # 请求体
useUAT: false # true=用户身份, false=租户身份
常见陷阱
# content 必须是 JSON 字符串
❌ content: {"text": "hello"}
✅ content: '{"text": "hello"}'
# 过滤条件 value 必须是数组
❌ value: "已完成"
✅ value: ["已完成"]
# 创建群组必须指定 owner_id,否则群主为机器人
owner_id: "ou_xxxxx"
# 参数名差异
docx_builtin_search: search_key # 不是 query
wiki_v1_node_search: query # 不是 search_key
# token 类型
wiki_v2_space_getNode: 用 wikcn... # 不能用 doxcn...
docx_v1_document_rawContent: 用 doxcn...
useUAT 选择
| 场景 | useUAT |
|---|---|
| 创建资源(想让用户可访问) | true |
| 搜索文档/知识库 | true |
| 访问用户私有数据 | true |
| 查询公共数据 | false |
工具速查
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Details
- Repository
- github.com/whatevertogo/feishuskill
- Categories
- AI & Agent Building, Office & Documents
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