MCPInstall

feishu-bitable

飞书多维表格操作。记录 CRUD、字段管理、视图、权限、公式、关联。

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/alextangson/feishu_skills --skill feishu-bitable
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads feishu-bitable automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

飞书多维表格

通过 Bitable API 操作数据、字段、视图和权限。

Base URL: https://open.feishu.cn/open-apis/bitable/v1

认证与 Token 获取

从 feishu_skills 根目录执行共享脚本:

TOKEN="$(./scripts/get_feishu_token.sh)"

请求头统一使用 Authorization: Bearer ${TOKEN}。

如果业务接口返回 token 无效、过期或 401,强制刷新后仅重试一次原请求:

TOKEN="$(./scripts/get_feishu_token.sh --force-refresh)"

环境变量:

  • FEISHU_APP_ID
  • FEISHU_APP_SECRET

本地缓存: ./.feishu_token_cache.json(未过期直接复用,默认提前 5 分钟刷新)

关键参数:

  • app_token: 多维表格 URL 中 /base/ 后的字符串
  • table_id: 调用列表 API 获取

记录操作

API端点说明
新增单条POST /apps/{app_token}/tables/{table_id}/records-
批量新增POST .../records/batch_create最多 500 条,支持 Upsert
更新PUT .../records/{record_id}-
批量更新POST .../records/batch_update最多 500 条
批量删除POST .../records/batch_delete最多 500 条
查询POST .../records/search支持 filter/sort/分页

分页查询全部记录(单次最多 500 条,循环直到 has_more: false):

page_token = None
all_records = []
while True:
    body = {"page_size": 500}
    if page_token:
        body["page_token"] = page_token
    resp = post(".../records/search", json=body)
    all_records.extend(resp["data"]["items"])
    if not resp["data"].get("has_more"):
        break
    page_token = resp["data"]["page_token"]

请求示例:

{
  "fields": {
    "名称": "测试",
    "金额": 100,
    "进度": 0.75,
    "评分": 4,
    "日期": 1770508800000,
    "状态": "进行中",
    "标签": ["重要", "紧急"],
    "完成": true,
    "负责人": [{"id": "ou_xxx"}],
    "电话": "13800138000",
    "链接": {"text": "官网", "link": "https://example.com"}
  }
}

⚠️ 数值不要传字符串,日期必须是 13 位毫秒时间戳。


字段类型格式

typeui_type中文名写入格式示例
1Text多行文本字符串"办公用品"
1Email邮箱字符串"test@example.com"
2Number数字数值100
2Currency货币数值1280.50
2Progress进度数值(0~1)0.25 (25%)
2Rating评分数值(1~5)3
3SingleSelect单选字符串"支出" (自动创建选项)
4MultiSelect多选字符串数组["餐饮","交通"]
5DateTime日期毫秒时间戳1770508800000
7Checkbox复选框布尔值true
11User人员对象数组[{"id":"ou_xxx"}]
13Phone电话字符串"13800138000"
15Url超链接对象{"text":"名称","link":"https://..."}
17Attachment附件对象数组[{"file_token":"xxx"}]
18SingleLink单向关联字符串数组["recuxxx"]
21DuplexLink双向关联字符串数组["recuxxx"]
22Location地理位置字符串"116.397,39.903"

不支持 API 写入: 公式、查找引用、创建时间、修改人、自动编号

日期格式转换:

import datetime
ts = int(datetime.datetime(2026, 2, 9).timestamp() * 1000)
# → 1770508800000

字段管理

API端点说明
获取字段列表GET .../fields返回 type 和 ui_name
新增字段POST .../fields{"field_name":"新字段","type":1}
更新字段PUT .../fields/{field_id}修改单选需提供完整 property
删除字段DELETE .../fields/{field_id}-

公式字段示例:

{
  "type": 20,
  "field_name": "利润",
  "property": {"formula_expression": "[营收]-[成本]"}
}

关联字段示例:

{
  "type": 18,
  "field_name": "关联客户",
  "property": {"table_id": "tblXXX", "multiple": true}
}

数据表管理

API端点说明
创建多维表格POST /apps{"name":"数据库名称"}
列出数据表GET /apps/{app_token}/tables-
新增数据表POST /apps/{app_token}/tables{"table":{"name":"表名"}}
批量新增表POST .../tables/batch_create最多 10 张表
删除数据表DELETE .../tables/{table_id}-
复制数据表POST .../tables/{table_id}/copy-

⚠️ 权限管理(重要):

  • 通过 API 创建的表格默认只对机器人可见
  • 创建后需添加用户为协作者:
POST /permissions/{app_token}/members
{
  "member_type": "user",
  "member_id": "ou_xxx",
  "perm": "full_access"
}
  • 权限类型:view / edit / full_access

视图管理

API端点说明
列出视图GET .../tables/{table_id}/views-
创建视图POST .../tables/{table_id}/views{"view_name":"新视图","view_type":"grid"}
删除视图DELETE .../views/{view_id}-

视图类型: grid(表格) / kanban(看板) / gallery(画册) / gantt(甘特图)


权限管理

API端点说明
创建协作者POST /apps/{app_token}/roles/{role_id}/members/batch_create-
删除协作者POST .../members/batch_delete-
更新权限PUT /apps/{app_token}/roles/{role_id}-

角色类型: owner / editor / reader


⚠️ 不存在的接口

/apps/:app_token/tables/:table_id/statistics 该接口不存在,飞书官方文档中未提供统计汇总 API。

如需统计数据(如求和、计数),建议:

  1. 用 POST .../records/search 拉取全量记录后在客户端计算
  2. 在多维表格中创建公式字段(如 SUM、COUNT)后通过 API 读取字段值

最佳实践

  1. 批量操作优先(减少 API 调用)
  2. 字段类型严格匹配(避免写入失败)
  3. 日期用毫秒时间戳(Python: int(datetime.timestamp() * 1000))
  4. 关联字段实现关系型能力
  5. 创建表格后立即添加用户为协作者(避免不可见)
  6. 单选字段自动创建选项(直接写入选项文本即可)

测试验证

已通过实测验证的 15 种字段类型:

  • 文本、进度、多选、单选、日期、复选框、电话、人员、超链接
  • 邮箱、货币、评分、地理位置、单向关联、双向关联

测试表格:https://jvbmlo28x0.feishu.cn/base/YdOpb47PvalSbQsHPyXc7LrNnUh

FAQ

What does the feishu-bitable skill do?

飞书多维表格操作。记录 CRUD、字段管理、视图、权限、公式、关联。

How do I install feishu-bitable?

Run npx skills add https://github.com/alextangson/feishu_skills --skill feishu-bitable in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/feishu-bitable/ (personal) or .claude/skills/feishu-bitable/ (project).

Which AI agents can use feishu-bitable?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is feishu-bitable safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains feishu-bitable?

It is published by alextangson in alextangson/feishu_skills. It has 863 recorded installs.

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