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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.

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★ 2

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

SQL-like querying interfaceOne-click installation via Smithery

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.

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FAQ

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 69 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.6★★★★★69 reviews
  • ★★★★★Aanya Gill· Dec 24, 2024

    Lark Bitable is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Aarav Gonzalez· Dec 16, 2024

    Useful MCP listing: Lark Bitable is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Daniel Sethi· Dec 16, 2024

    According to our notes, Lark Bitable benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Benjamin Dixit· Dec 16, 2024

    We evaluated Lark Bitable against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Ganesh Mohane· Dec 12, 2024

    Lark Bitable is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Xiao Khan· Dec 4, 2024

    Lark Bitable is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Sophia Mehta· Nov 23, 2024

    Lark Bitable reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Aarav Lopez· Nov 15, 2024

    Lark Bitable reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Xiao Haddad· Nov 7, 2024

    We evaluated Lark Bitable against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Daniel Taylor· Nov 7, 2024

    I recommend Lark Bitable for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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