MCP Server - Coda.io

MCP Server - Coda.io

By elberrd GitHub

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coda mcp
Overview

What is MCP Server - Coda.io?

MCP Server - Coda.io is a Model Context Protocol (MCP) server implementation designed for seamless integration with Coda's API, enabling efficient document, table, and data management.

How to use MCP Server?

To use the MCP Server, clone the repository, set up your environment with a Coda API key, install dependencies, and run the server. You can then access various endpoints for managing Coda documents and tables.

Key features of MCP Server?

  • Fetch and manage tables and rows from Coda documents.
  • Upsert and delete rows in tables.
  • Comprehensive error handling and logging.
  • Built with Express.js and TypeScript for robust performance.

Use cases of MCP Server?

  1. Automating data management tasks in Coda documents.
  2. Integrating Coda with other applications for enhanced functionality.
  3. Building custom tools that leverage Coda's API for data manipulation.

FAQ from MCP Server?

  • What are the prerequisites for using MCP Server?

You need Node.js (v20 or higher) and a Coda API key.

  • How do I run the server?

After building the project, you can start the server using node dist/index.js.

  • Is there any error handling implemented?

Yes, the server includes comprehensive error handling for environment variables, API responses, and request parameters.

Content

MCP Server - Coda.io

A Model Context Protocol (MCP) server implementation for seamless integration with Coda's API, providing various tools for document, table, and data management.

Features

  • Table Operations
    • Fetch all tables from a document
    • Retrieve specific table data
    • Get table columns information
  • Row Management
    • Fetch rows from tables
    • Upsert (insert/update) rows
    • Delete rows
  • Column Operations
    • Fetch specific column details
    • Get column metadata

Prerequisites

  • Node.js (v20 or higher)
  • A Coda API key
  • TypeScript knowledge (for development)

Environment Setup

  1. Clone or fork this repository in Replit
  2. Create a .env file in the root directory:
    PORT=8000
    CODA_API_KEY=your_coda_api_key_here
    
  3. Replace your_coda_api_key_here with your actual Coda API key

Installation

The project uses npm for dependency management. To install dependencies:

npm install

Building the Project

Compile TypeScript files to JavaScript:

npx tsc

Running the Server

After building, start the server:

node dist/index.js

Or use the combined command:

npm install && npx tsc && node dist/index.js

The server will start on port 8000 by default, with the following endpoints available:

  • GET /sse - SSE connection endpoint
  • POST /messages - Message handling endpoint

Available Tools

  1. fetch-coda-docs

    • Fetches all available Coda documents
    • Optional parameters: isOwner, limit
  2. fetch-coda-tables

    • Fetches all tables from a specified document
    • Required parameter: docId
  3. fetch-coda-table

    • Fetches a specific table from a document
    • Required parameters: docId, tableId
  4. fetch-coda-table-columns

    • Retrieves columns information for a specific table
    • Required parameters: docId, tableId
  5. fetch-coda-rows

    • Fetches rows from a specified table
    • Required parameters: docId, tableId
  6. upsert-coda-rows

    • Inserts or updates rows in a table
    • Required parameters: docId, tableId, rows
  7. delete-coda-rows

    • Deletes specified rows from a table
    • Required parameters: docId, tableId, rowIds

Error Handling

The server implements comprehensive error handling:

  • Environment variable validation
  • API response validation
  • Request parameter validation
  • Proper error messages and logging

Development

The project is structured as follows:

src/
├── tools/           # Individual tool implementations
│   ├── fetch-coda-docs.tool.ts
│   ├── fetch-coda-tables.tool.ts
│   └── ...
└── index.ts        # Main server implementation

Built With

  • Express.js - Web framework
  • @modelcontextprotocol/sdk - MCP implementation
  • Zod - Runtime type checking
  • dotenv - Environment configuration

Known Limitations and Future Improvements

The current implementation of tools requires several improvements:

  • Enhanced JSON response handling and formatting
  • Implementation of pagination for large datasets
  • Better error handling and retry mechanisms
  • Rate limiting implementation
  • Batch processing for large operations
  • Caching mechanisms for frequently accessed data
  • There is more API tools to implement based on the documentation

MCP Client Implementation Example

Here are examples of how to implement this MCP server in Cursor:

  1. Configure the MCP server in Cursor's mcp.json: Cursor MCP JSON Configuration

  2. Enable and use the available tools in Cursor's settings: Cursor MCP Tools Configuration

License

This project is licensed under the ISC License.

No tools information available.
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