Bitable MCP Server provides access to Lark Bitable through the Model Context Protocol, allowing AI assistants to interact with Bitable tables using SQL-like queries. Built by lloydzhou, it leverages the pybitable library to establish connections to Lark's API and offers three main tools: listing available tables, describing table schemas, and executing read queries against the data. The implementation requires Lark API credentials (personal base token and app token) and supports one-click installation for Claude Desktop, making it ideal for workflows that need to analyze or reference structured data stored in Lark Bitable without leaving the conversation interface.
暂无评论. 成为第一个评论的人！
登录以参与讨论
Highlight AIList tables for the current Bitable. Returns a JSON-encoded list of table names.
Describe a table by its name. Parameters: name (str): The name of the table to describe. Returns a JSON-encoded list of columns in the table.
Execute a SQL query to read data from the tables. Parameters: sql (str): The SQL query to execute. Returns a JSON-encoded list of query results.
