MCP Server - Coda.io
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关于 MCP Server - Coda.io
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基本信息
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"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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
FAQ from MCP Server - Coda.io
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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