lark-mcp
whatevertogo/feishuskill
Official Lark/Feishu MCP integration for messaging, groups, multidimensional tables, documents, and knowledge base queries.
What is lark-mcp?
Official MCP integration for Lark (Feishu) that enables agents to send messages, create groups, manage Bitable records, search documents, and query knowledge bases. Use this when you need to interact with Lark workspace data and collaborate within Feishu.
- Send and list messages in Lark chats
- Create and manage group chats with specified owners and members
- Create, search, and update records in Bitable (multidimensional tables)
- Search and retrieve document content from Lark Docs
- Search and access knowledge base nodes
How to install lark-mcp
npx skills add https://github.com/whatevertogo/feishuskill --skill lark-mcp- Lark/Feishu workspace account with API access
- OAuth configuration required for document search and knowledge base queries (use --oauth flag)
- App token and table IDs for Bitable operations
How to use lark-mcp
- 1.Install the skill using: npx skills add https://github.com/whatevertogo/feishuskill --skill lark-mcp
- 2.Configure OAuth if you need to search documents or knowledge bases (see installation.md)
- 3.Use tool names with mcp__lark-mcp__ prefix (e.g., mcp__lark-mcp__im_v1_message_create)
- 4.Provide required parameters: path (app_token, table_id), params (query parameters), data (request body)
- 5.Set useUAT: true when creating resources or accessing user data; useUAT: false for public data queries
- 6.Ensure content fields are JSON strings (wrapped in single quotes) and filter values are arrays
Use cases
- Automate notifications and alerts by sending messages to Lark groups
- Create structured data records in Bitable tables from agent workflows
- Search Lark documents and knowledge bases to retrieve information for decision-making
- Set up group chats programmatically for team collaboration
- Retrieve document content to augment agent context with workspace knowledge
- Lark/Feishu workspace administrators
- Teams using Lark for collaboration and documentation
- Developers building automation workflows within Feishu
- Knowledge workers needing to query workspace documents and tables
lark-mcp FAQ
This error indicates insufficient permissions. Enable OAuth configuration (use --oauth flag) for document search and knowledge base queries, or set useUAT: true for user-identity operations.
Use useUAT: true when creating resources (so users can access them), searching documents/knowledge bases, or accessing user private data. Use useUAT: false for querying public data.
doxcn tokens are for Lark Documents (docx_v1_document_rawContent), while wikcn tokens are for knowledge base nodes (wiki_v2_space_getNode). Using the wrong type causes 131005 errors.
The content must be a JSON string wrapped in single quotes, not a JSON object. For example: content: '{"text": "hello"}' (not content: {"text": "hello"}).
Resources created with useUAT: false (tenant identity) are only accessible to the bot. Use useUAT: true and specify owner_id to make resources accessible to users.
Full instructions (SKILL.md)
Source of truth, from whatevertogo/feishuskill.
name: lark-mcp description: 飞书/Lark 官方 MCP 集成。支持发送消息、创建群组、操作多维表格（Bitable）、导入/搜索文档、知识库查询。触发词：飞书、Feishu、Lark、多维表格、bitable、飞书文档、飞书群。
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
| 类别 | 工具 | 文档 |
|---|---|---|
| 消息 | im_v1_message_create, im_v1_message_list | im.md |
| 群组 | im_v1_chat_create, im_v1_chat_list, im_v1_chatMembers_get | chat.md |
| 多维表格 | bitable_v1_app_create, bitable_v1_appTableRecord_search/create/update | bitable.md |
| 文档 | docx_builtin_search, docx_v1_document_rawContent, docx_builtin_import | documents.md |
| 知识库 | wiki_v1_node_search, wiki_v2_space_getNode | wiki.md |
ID 类型
| 前缀 | 类型 | 来源 |
|---|---|---|
ou_ | 用户ID | API返回 |
oc_ | 群聊ID | im_v1_chat_list |
bascn | 多维表格 | URL中 base/ 后 |
tbl | 数据表 | URL参数 table= |
doxcn | 文档 | 搜索结果或URL |
wikcn | 知识库节点 | 知识库URL |
快速示例
# 发送消息
工具: mcp__lark-mcp__im_v1_message_create
data:
receive_id: "oc_xxxxx"
msg_type: "text"
content: '{"text": "消息内容"}'
params:
receive_id_type: "chat_id"
# 创建群组
工具: mcp__lark-mcp__im_v1_chat_create
data:
name: "群名"
chat_mode: "group"
owner_id: "ou_xxxxx"
user_id_list: ["ou_xxxxx"]
params:
user_id_type: "open_id"
# 创建多维表格记录
工具: mcp__lark-mcp__bitable_v1_appTableRecord_create
path:
app_token: "bascnxxxxxx"
table_id: "tblxxxxxx"
data:
fields:
文本字段: "值"
单选字段: "选项名"
useUAT: true
# 搜索文档
工具: mcp__lark-mcp__docx_builtin_search
data:
search_key: "关键词"
count: 10
useUAT: true
错误速查
| 错误 | 原因 | 解决 |
|---|---|---|
| tool not found | 服务器名错误 | 使用 mcp__lark-mcp__ 前缀 |
| 99991663 | 权限不足 | useUAT: true 或配置 OAuth |
| 131005 not found | token 类型错误 | 检查用 wikcn 还是 doxcn |
| 创建资源无法访问 | 租户身份创建 | 使用 useUAT: true |
| field not found | 字段名错误 | 用 appTableField_list 确认 |
| invalid content | 格式错误 | content 用单引号包裹 JSON |
详细文档: troubleshooting.md | installation.md
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