Skip to content
Agentmart
Submit a tool

Basepilot

面向企业交付的飞书多维表格 MCP Server —— 让 Claude Code / Cursor 安全读写业务台账

Connector by Peterwong666 · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1
Write a review

Chalk Labs

Need help deploying Basepilot?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/peterwong666-basepilot

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

面向企业交付的飞书多维表格 MCP Server —— 让 Claude Code / Cursor 安全读写业务台账

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools
1 read · 4 write · 1 delete · 2 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
None found
Runs as
Python package

Tools by what they do 8

Read from the source code; the running server may list different tools.

Read 1 · Look things up without changing anything.

  • search_records

Write 4 · Create, change, send or run things.

  • batch_upsert
  • create_records
  • dry_run_create
  • update_records

Delete 1 · Delete, drop, revoke or wipe things.

  • delete_records

Not yet classified 2 · We could not tell from the name and description.

  • describe_table
  • diagnose_scenarios

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • BASEPILOT_APP_SECRET

Other settings (environment variables or headers).

  • BASEPILOT_APP_ID

Network hosts it talks to 5

  • a.com · found in code
  • advertising.amazon.com · found in code
  • amazon.com · found in code
  • github.com · found in code
  • open.feishu.cn · found in code

Tools (8)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • batch_upsert

    按键字段「存在即更新,不存在即新增」。 跨境电商同步核心操作:按 SKU/订单号 等唯一键同步,避免重复创建。 Args: records: 记录列表,每条必须含 key_field。 key_field: 唯一键字段名,如 "SKU" / "订单号"。

  • create_records

    批量新增记录。 字段值格式(重要,错了会被 1254062 拒): - 文本:字符串;数字:数值 - 单选:选项名字符串(不是数组),如 "正常" - 多选:字符串数组,如 ["A", "B"] - 日期:13 位毫秒时间戳,如 1674206443000(秒级会自动×1000) - 人员:open_id,如 "ou_xxxx";关联:record_id 数组 - 系统只读字段(公式/创建时间等)不能写 建议先 describe_table 拿字段 type,真正写之前先 dry_run_create 预演。 Args: records: 记录列表,每条 {字段名: 字段值}。超 1000 条自动分片。

  • delete_records

    批量删除记录。⚠️ 不可恢复,超 500 条自动分片。建议先 search 确认。 Args: record_ids: 要删除的 record_id 列表。

  • describe_table

    获取数据表的字段结构(写记录前必查)。 返回每个字段的名称、type 编号、可读类型名、是否系统只读。 用 type 编号做后续 create/update 的字段编码依据,不要凭字段名猜类型。 Args: app_token: 多维表格的 app_token(URL 里 /base/ 后面那段)。 table_id: 数据表 ID(URL 里 &table= 后面那段)。

  • diagnose_scenarios

    业务诊断 —— 哪些环节值得上 AI,跑打分器出四象限。 对客户说「我帮你诊断哪些流程值得自动化」,比「我会调 API」有价值。 返回按投入优先级排序的诊断:指数/象限/落地形态/年省工时/业务依据。 Args: scenarios_path: 自定义场景清单 YAML 路径(默认内置 15 个跨境场景)。

  • dry_run_create

    预演批量新增 —— 走完整校验但不写真实数据。 真正执行 create_records 前先跑这个:确认每条字段能否编码成功、 会分几片、哪些是系统只读会被拒。dry_run 不发任何写请求。 Args: records: 准备新增的记录列表。

  • search_records

    查询记录(自动翻页)。 Args: filter_: 飞书筛选表达式,如 {"conjunction": "and", "conditions": [ {"field_name": "状态", "operator": "is", "value": ["异常"]}]} field_names: 只返回这些字段。 page_size: 每页条数,最大 500。

  • update_records

    批量更新记录。每条含 {"record_id": ..., "fields": {...}}。 Args: records: 更新列表,字段值格式同 create_records。

Signals

Stars
1
Forks
0
Open issues
0
Weekly downloads
247
Last commit
Oct 20, 2026 (11 days ago)
Last release
Oct 20, 2026 (11 days ago)
Last package publish
Oct 20, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.Peterwong666/basepilot
Version
0.1.1
Auth
API key
Packages
pypi basepilot
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get Basepilot running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying Basepilot?

CallGet help
Cite this page

Basepilot MCP server. Agent Mart. https://agentmart.dev/connectors/peterwong666-basepilot (last updated 2026-10-24)