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.
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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.
