Lark Bitable
Connects to Lark Bitable for SQL-like querying of structured data, enabling table listing, schema inspection, and read operations using Lark API credentials.
About
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.
Is this your product? Claim this listing with an email at your domain to post updates.
Is this your project?
Claim this listing to manage your page, access analytics, and unlock upgrades. Verification takes 60 seconds.
Share This Project
Embed Badge
Add this badge to your README:
[](https://hifriendbot.com/ai-list/lark-bitable/)
