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.
Tools
Tool Name | Availabe | Description |
---|---|---|
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 tohttps://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:
For Windows:
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:
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:
The other way is to clone the MCP inspector repo and connect the AITable MCP server in the inspector interface.
This server cannot be installed
AITable.ai Model Context Protocol Server enables AI agents to connect and work with AITable datasheets.
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