Sponsored by Deepsite.site

Baserow MCP Server

Created By
ayyazzafar7 months ago
MCP server for Baserow API integration - Enable AI assistants to interact with Baserow databases
Overview

What is Baserow MCP Server?

Baserow MCP Server is an integration tool that allows AI assistants to interact with Baserow databases using the Model Context Protocol (MCP). It enables seamless database operations through natural language commands.

How to use Baserow MCP Server?

To use the Baserow MCP Server, clone the repository, install dependencies, configure authentication, and set up an MCP-compatible client like Claude Desktop, Cursor, or Windsurf. Once configured, you can issue natural language commands to manage your Baserow databases.

Key features of Baserow MCP Server?

  • Smart authentication with automatic token refresh
  • Workspace management for creating and managing Baserow workspaces
  • Full database operations including CRUD functionality
  • Advanced querying capabilities with pagination and filtering
  • Natural language processing for intuitive database interactions

Use cases of Baserow MCP Server?

  1. Automating database management tasks through AI assistants.
  2. Simplifying data entry and retrieval using natural language commands.
  3. Integrating with various AI tools for enhanced productivity.

FAQ from Baserow MCP Server?

  • What is the Model Context Protocol (MCP)?

MCP is a protocol that allows different AI clients to communicate with backend services like Baserow for database operations.

  • Is Baserow MCP Server free to use?

Yes, it is open-source and free to use under the MIT License.

  • What are the prerequisites for using Baserow MCP Server?

You need Node.js v22+, an MCP-compatible client, and a Baserow account.

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
CursorThe AI Code Editor
WindsurfThe new purpose-built IDE to harness magic
DeepChatYour AI Partner on Desktop
Serper MCP ServerA Serper MCP Server
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Playwright McpPlaywright MCP server
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Amap Maps高德地图官方 MCP Server
ChatWiseThe second fastest AI chatbot™
Tavily Mcp
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.