Lark Bitable▌
by lloydzhou
Connect to Lark Bitable for SQL-like queries on structured data. Easily list tables, inspect schemas, and read data with
Connects to Lark Bitable for SQL-like querying of structured data, enabling table listing, schema inspection, and read operations using Lark API credentials.
best for
- / Teams using Lark for collaborative data management
- / Analyzing data stored in Bitable tables
- / Integrating Lark workspace data into workflows
capabilities
- / List tables in Lark Bitable workspaces
- / Inspect table schemas and columns
- / Execute SQL queries on Bitable data
- / Read structured data from collaborative tables
what it does
Connects to Lark Bitable (a collaborative database platform) and lets you query structured data using SQL-like syntax through the Lark API.
about
Lark Bitable is a community-built MCP server published by lloydzhou that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to Lark Bitable for SQL-like queries on structured data. Easily list tables, inspect schemas, and read data with It is categorized under databases, analytics data.
how to install
You can install Lark Bitable in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Lark Bitable is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Lark Bitable MCP server?
- Lark Bitable is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Lark Bitable?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Lark Bitable is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Lark Bitable against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Lark Bitable is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Lark Bitable reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Lark Bitable for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Lark Bitable surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Lark Bitable has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Lark Bitable benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Lark Bitable into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Lark Bitable is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.