MCP Server - Coda.io

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elberrd

关于 MCP Server - Coda.io

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#coda#mcp #api-integration

MCP Server - Coda.io 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "CodaMcpServer": {
      "command": "npx",
      "args": [
        "tsc"
      ]
    }
  }
}

MCP Server - Coda.io 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is MCP Server - Coda.io?

MCP Server - Coda.io is a Model Context Protocol (MCP) server that provides seamless integration with Coda’s API. It offers tools for managing documents, tables, rows, and columns, enabling programmatic access to Coda workspaces for developers using AI assistants or custom automation.

How to use MCP Server - Coda.io?

Use Node.js (v20 or higher) and a Coda API key. Create a .env file with PORT=8000 and CODA_API_KEY. Install dependencies with npm install, compile TypeScript with npx tsc, and start the server with node dist/index.js. The server listens on port 8000 via SSE (/sse) and messages (/messages). For Cursor IDE, configure it in mcp.json with the appropriate command.

Key features of MCP Server - Coda.io

Fetch all available Coda documents
Retrieve tables and specific table data
Get column details and metadata
Upsert (insert/update) rows in tables
Delete rows from specified tables
Fetch rows from a table with required parameters

Use cases of MCP Server - Coda.io

Automate data entry or updates across Coda documents
Build an AI assistant that can query and modify your Coda workspace
Integrate Coda data into custom workflows or dashboards
Synchronize data between external systems and Coda tables

常见问题

What are the prerequisites for using MCP Server - Coda.io?

You need Node.js v20 or higher, a valid Coda API key, and basic knowledge of TypeScript for development.

How do I configure the Coda API key?

Create a `.env` file in the root directory with the line `CODA_API_KEY=your_coda_api_key_here`, replacing the placeholder with your actual Coda API key.

What transport does the server use?

The server provides an SSE (Server‑Sent Events) endpoint at `GET /sse` and a message handling endpoint at `POST /messages`.

Are there any known limitations?

Yes. The README notes that JSON response handling, pagination for large datasets, error handling, rate limiting, batch processing, caching, and additional API tools are planned future improvements.

How can I use this MCP server with Cursor?

Configure the server in Cursor’s `mcp.json` file using the appropriate command (e.g., the run command shown in the README screenshots) and enable the desired tools in Cursor’s settings.

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