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AITable Mcp Server

AITable Mcp Server

Local
github.com/apitableDatabases13Updated 69w ago

About AITable Mcp Server

AITable MCP Server gives AI systems read and write access to AITable.ai datasheets. It supports workspace discovery, record searches and reads, record creation, and attachment uploads.

Key features

  1. 01List accessible workspaces
  2. 02Search nodes by type and query
  3. 03Read paginated and filtered records
  4. 04Retrieve database field schemas
  5. 05Create records
  6. 06Upload attachments from URLs

Use cases

  1. 01Find workspaces and relevant nodes
  2. 02Read and filter database records
  3. 03Add records to a datasheet
  4. 04Attach files using web URLs

MCP support

The MCP server exposes AITable.ai workspace, node, record, schema, and attachment operations to MCP clients. Record updates are listed as not yet available.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"aitable": {
"command": "npx",
"args": [
"-y",
"@apitable/aitable-mcp-server"
],
"env": {
"AITABLE_API_KEY": "<AITABLE_API_KEY>"
}
}
}
}
Run commandnpx -y @apitable/aitable-mcp-server
Environment variables to set
AITABLE_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@apitable/aitable-mcp-server

Tools

6

Saved tool list · updated 3w ago

This tool takes no parameters.

Details

From the project README

AITable MCP Server

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.

AITable Server MCP server

Tools

Tool NameAvailabeDescription
list_spaces✅Fetches all workspaces that the currently authenticated user has permission to access.
search_nodes✅Retrieve nodes based on specific types, permissions, and queries.
list_records✅Read the records from a specified database with support for pagination, field filtering, and sorting options.
get_fields_schema✅Returns the JSON schema of all fields within the specified database
create_record✅Create a new record in the database.
upload_attachment_via_url✅Upload an attachment to the AITable server using its web URL.
update_record❌TODO

Environment Variables

  • AITABLE_API_KEY: Your AITable personal access token.
  • AITABLE_BASE_URL: The base URL of the AITable API. Defaults to https://aitable.ai/fusion. You can set it to {YOUR_CUSTOM_BASE_URL} if you are using the APITable(the open-source version of AITable).

Usage

You can use this server in MCP client such as Claude Desktop, CherryStudio, etc.

Claude Desktop In the case of Claude Desktop, you need to add the following configuration information to the "mcpServers" section of the claude_desktop_config.json file:

For Linux, MacOS:

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

For Windows:

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

Replace YOUR_API_KEY with your AITable personal access token and /ABSOLUTE/PATH/TO/PARENT/FOLDER/aitable-mcp-server with the absolute path to the parent folder of this repository.

CherryStudio If you are using the CherryStudio as MCP client and Windows system, your configuration should look like this:

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

Debug

The MCP inspector is a developer tool for testing and debugging MCP servers.

To inspect an MCP server implementation, there's no need to clone the MCP inspector repo. Instead, use npx. For example, AITable MCP server is built at dist/index.js. Arguments are passed directly to your server, while environment variables can be set using the -e flag:

npx @modelcontextprotocol/inspector -e AITABLE_API_KEY={YOUR_API_KEY} node build/index.js

The other way is to clone the MCP inspector repo and connect the AITable MCP server in the inspector interface.

cd path/to/inspector/
npm start -- -e AITABLE_API_KEY={YOUR_API_KEY}

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.