Coda Universal MCP Server

What is Coda Universal MCP Server about?

The project implements a Coda Universal MCP server that exposes Coda's tools and services through a unified API, adhering to the MCP specification for seamless compatibility with other MCP‑compliant services.

How to use Coda Universal MCP Server?

1. Prerequisites: Install Python 3.11+ and the uv package manager.
2. Install dependencies: uv sync creates a virtual environment and installs all required packages.
3. Activate the environment:
   • macOS/Linux: source .venv/bin/activate
   • Windows PowerShell: .venv\Scripts\Activate
4. Start the MCP inspector: mcp dev src/universal_mcp_coda/server.py – note the address and port displayed.
5. Install the application: mcp install src/universal_mcp_coda/server.py.
6. Consume the API through the provided endpoints or via the Agentr.dev UI (enable Coda at https://agentr.dev/apps).

Key features of Coda Universal MCP Server

• Full compliance with the MCP specification for interoperability.
• Built on the Universal MCP framework, making it easy to add or modify tools.
• Simple local development workflow with uv and the mcp CLI.
• Ready‑to‑use tool list documented in src/universal_mcp_coda/README.md.
• MIT licensed, encouraging open‑source contribution and reuse.

Use cases of Coda Universal MCP Server

• Integrating Coda’s productivity tools into custom workflows or bots.
• Providing a unified backend for multi‑tool platforms that require consistent API contracts.
• Rapid prototyping of AI agents that need access to Coda’s services via MCP.
• Extending Coda functionality within internal enterprise applications.

FAQ from the Coda Universal MCP Server

Q: Do I need Docker to run the server? A: No, the server runs directly on Python 3.11+ with the uv environment.

Q: Which command starts the server in production? A: The README shows the development command (mcp dev). For production you would typically run the server script (python -m universal_mcp_coda.server) within your chosen process manager.

Q: Can I add my own tools? A: Yes, add modules under src/universal_mcp_coda/ and expose them through the server’s application layer.

Q: Is there a public endpoint for the server? A: The server is intended for local or self‑hosted deployment; you can expose it behind a reverse proxy if needed.

Q: Where are the environment variables defined? A: See the .env file for local development configuration.

Coda Universal MCP Server

This repository contains an implementation of an Coda Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Coda's tools and services through a unified API.

The server is built using the Universal MCP framework.

This implementation follows the MCP specification, ensuring compatibility with other MCP-compliant services and tools.

Usage

You can start using Coda directly from agentr.dev. Visit agentr.dev/apps and enable Coda.

If you have not used universal mcp before follow the setup instructions at agentr.dev/quickstart

Available Tools

The full list of available tools is at ./src/universal_mcp_coda/README.md

Local Development

📋 Prerequisites

Ensure you have the following before you begin:

• Python 3.11+ (recommended)
• uv (install globally with pip install uv)

🛠️ Setup Instructions

Follow the steps below to set up your development environment:

1. Sync Project Dependencies

   uv sync
   

   This installs all dependencies from pyproject.toml into a local virtual environment (.venv).

2. Activate the Virtual Environment

   For Linux/macOS:

   source .venv/bin/activate
   

   For Windows (PowerShell):

   .venv\Scripts\Activate
   

3. Start the MCP Inspector

   mcp dev src/universal_mcp_coda/server.py
   

   This will start the MCP inspector. Make note of the address and port shown in the console output.

4. Install the Application

   mcp install src/universal_mcp_coda/server.py
   

📁 Project Structure

.
├── src/
│   └── universal_mcp_coda/
│       ├── __init__.py       # Package initializer
│       ├── server.py            # Server entry point
│       ├── app.py            # Application tools
│       └── README.md         # List of application tools
├── tests/                    # Test suite
├── .env                      # Environment variables for local development
├── pyproject.toml            # Project configuration
└── README.md                 # This file

📄 License

This project is licensed under the MIT License.

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