Aitable MCP Server

AITable.ai Model Context Protocol Server enables AI agents to connect and work with AITable datasheets.

Local serverstdio

What is the Aitable MCP server?

AITable.ai Model Context Protocol Server enables AI agents to connect and work with AITable datasheets. That is what the aitable mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

A Model Context Protocol server that provides read and write access to AITable.ai. This server enables LLMs to list spaces, search nodes, list records, create records and upload attachments in AITable.ai.

The tools it exposes

The server publishes 7 tools. What each one is for:

  • list_spaces — ✅
  • search_nodes — ✅
  • list_records — ✅
  • get_fields_schema — ✅
  • create_record — ✅
  • upload_attachment_via_url — ✅
  • update_record — ❌

What it needs from you

Configuration is passed through the environment: AITABLE_API_KEY, AITABLE_BASE_URL, YOUR_CUSTOM_BASE_URL, YOUR_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Getting it running

The server ships on npm as @modelcontextprotocol/inspector, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Aitable's toolset — list_spaces, search_nodes, list_records and 4 more — is a fair guide to whether it matches your workflow. It is maintained by apitable; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Aitable's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
list_spaces
search_nodes
list_records
get_fields_schema
create_record
upload_attachment_via_url
update_record

How to install the Aitable MCP server

{
  "mcpServers": {
    "aitable": {
      "command": "npx",
      "args": [
        "-y",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/aitable-mcp-server"
      ],
      "env": {
        "AITABLE_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
AITABLE_API_KEYCredential the server authenticates with.Yes
AITABLE_BASE_URLEndpoint or connection string the server talks to.Yes
YOUR_CUSTOM_BASE_URLEndpoint or connection string the server talks to.Yes
YOUR_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Aitable to list spaces.
  • Use Aitable to search nodes.
  • Use Aitable to list records.

Frequently asked questions

It connects Aitable to MCP-compatible AI assistants such as Claude and Cursor, exposing 7 tools (list_spaces, search_nodes, list_records, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Aitable directly.