Coda

Name: Coda
Author: nkpar

by nkparversion 0.2.1i★ –iRuns on your computer

Registry nameio.github.nkpar/coda

Install

Overview

Description from the maker (original English)

Interact with Coda.io documents, tables, and rows via the Coda API

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other
You need to fill in: CODA_API_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CODA_API_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "coda": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CODA_API_TOKEN",
        "ghcr.io/nkpar/coda-mcp:0.2.1"
      ],
      "env": {
        "CODA_API_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add coda --env CODA_API_TOKEN=your-value -- docker run -i --rm -e CODA_API_TOKEN ghcr.io/nkpar/coda-mcp:0.2.1

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "coda": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CODA_API_TOKEN",
        "ghcr.io/nkpar/coda-mcp:0.2.1"
      ],
      "env": {
        "CODA_API_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "coda": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CODA_API_TOKEN",
        "ghcr.io/nkpar/coda-mcp:0.2.1"
      ],
      "env": {
        "CODA_API_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

CODA_API_TOKEN secret required env
Coda API token from coda.io/account

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account nkpar, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32683 servers in this category
Published to the registry more recently than 2% of the other 32683 servers in this category
Basic checks equal to or better than 100% of the other 32683 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Coda safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: CODA_API_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 9 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, MCP Server Autocad Lisp Helper

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

coda-mcp

MCP (Model Context Protocol) server for Coda.io API. Enables AI assistants to read and write Coda documents, tables, and rows.

Features

Full CRUD operations on Coda tables
Document and page content retrieval
Formula and control access
Async export workflow for canvas pages
Rate limit handling

Quick Start

1. Install

cargo install coda-mcp

2. Get API Token

Get your token from coda.io/account → API settings.

3. Configure Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or ~/.config/claude/claude_desktop_config.json (Linux):

"mcpServers": { "coda": { "command": "/Users/YOUR_USERNAME/.cargo/bin/coda-mcp", "env": { "CODA_API_TOKEN": "your_token_here" } } } }

4. Restart Claude Desktop

The Coda tools will now be available.

Installation

From crates.io (Recommended)

cargo install coda-mcp

From Source

git clone https://github.com/nkpar/coda-mcp.git

cd coda-mcp cargo build --release

Binary will be at ./target/release/coda-mcp

Pre-built Binaries

Check the Releases page.

Docker

No Rust toolchain required. Multi-arch image (amd64 + arm64), ~3MB.

docker pull ghcr.io/nkpar/coda-mcp:latest

Claude Code (CLI):

claude mcp add coda -e CODA_API_TOKEN=your_token_here -- docker run --rm -i -e CODA_API_TOKEN ghcr.io/nkpar/coda-mcp:latest

Claude Desktop config:

"mcpServers": { "coda": { "command": "docker", "args": ["run", "--rm", "-i", "-e", "CODA_API_TOKEN", "ghcr.io/nkpar/coda-mcp:latest"], "env": { "CODA_API_TOKEN": "your_token_here" } } } }

One-Click Install Script

For Claude Desktop with automatic configuration:

git clone https://github.com/nkpar/coda-mcp.git

cd coda-mcp ./scripts/install.sh

Configuration

1. Get API Token

Get your Coda API token from coda.io/account → API settings.

Important: For write operations (create_doc, delete_doc, add_row, update_row, delete_row), ensure your token has write permissions enabled. Read-only tokens will return 403 Forbidden for these operations.

2. Configure MCP Client

Claude Desktop (~/.config/claude/claude_desktop_config.json):

"mcpServers": { "coda": { "command": "/path/to/coda-mcp", "env": { "CODA_API_TOKEN": "your_token_here" } } } }

Claude Code (CLI):

# Binary

claude mcp add coda -e CODA_API_TOKEN=your_token_here -- $HOME/.cargo/bin/coda-mcp

Or via Docker (no Rust required)

claude mcp add coda -e CODA_API_TOKEN=your_token_here -- docker run --rm -i -e CODA_API_TOKEN ghcr.io/nkpar/coda-mcp:latest

Or via .mcp.json in project root:

"mcpServers": { "coda": { "command": "/path/to/coda-mcp", "env": { "CODA_API_TOKEN": "your_token_here" } } } }

Environment Variables

Variable	Required	Description
`CODA_API_TOKEN`	Yes	Your Coda API token
`CODA_BASE_URL`	No	API base URL (default: `https://coda.io/apis/v1`)
`RUST_LOG`	No	Log level: `error`, `warn`, `info`, `debug`, `trace`

Tools

Tool	Description
`list_docs`	List available documents
`get_doc`	Get document details
`search_docs`	Search documents by name
`create_doc`	Create a new document (optional: folder, template, timezone)
`delete_doc`	Delete a document (permanent)
`list_pages`	List pages in a document
`get_page`	Get page content (HTML)
`list_tables`	List tables in a document
`get_table`	Get table details
`list_columns`	List columns in a table
`get_rows`	Get rows with optional filtering
`get_row`	Get a specific row
`add_row`	Add a new row
`update_row`	Update an existing row
`delete_row`	Delete a row
`list_formulas`	List named formulas
`get_formula`	Get formula value
`list_controls`	List controls (buttons, sliders)

Usage Examples

# List all documents

list_docs

Create a new document

create_doc title="My New Doc"

Create from template in specific folder

create_doc title="Project Plan" folder_id="fl-abc" source_doc="template-xyz"

Delete a document (permanent!)

delete_doc doc_id="AbCdEfGh"

Get rows from a table

get_rows doc_id="AbCdEfGh" table_id="grid-xyz" limit=50

Filter rows

get_rows doc_id="AbCdEfGh" table_id="grid-xyz" query="Status:Active"

Add a row

add_row doc_id="AbCdEfGh" table_id="grid-xyz" cells={"Name": "John", "Email": "john@example.com"}

Get page content

get_page doc_id="AbCdEfGh" page_id="canvas-xyz"

Rate Limits

Coda API has rate limits:

Reading: 100 requests per 6 seconds
Writing: 10 requests per 6 seconds

Write operations return HTTP 202 (queued). Changes may take a few seconds to appear.

Security

API tokens are redacted from all log output
Download URLs validated against trusted hosts only (coda.io, codahosted.io, storage.googleapis.com)
Request limits capped at 1000 to prevent resource exhaustion
Install script uses silent input for tokens and sets restrictive file permissions (600)

Development

# Build

cargo build --release

Run unit & integration tests

cargo test

Run E2E tests (requires write-enabled API token)

export $(cat .env | xargs) && cargo test --test e2e_tests -- --ignored

Run with debug logging

RUST_LOG=debug cargo run

Format & lint

cargo fmt && cargo clippy

See DEVELOPER.md for API details and CONTRIBUTING.md for contribution guidelines.

License

MIT License. See LICENSE for details.

Coda

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

MCP Server Autocad Lisp Helper

README from the maker

coda-mcp

Features

Quick Start

1. Install

2. Get API Token

3. Configure Claude Desktop

4. Restart Claude Desktop

Installation

From crates.io (Recommended)

From Source

Pre-built Binaries

Docker

One-Click Install Script

Configuration

1. Get API Token

2. Configure MCP Client

Or via Docker (no Rust required)

Environment Variables

Tools

Usage Examples

Create a new document

Create from template in specific folder

Delete a document (permanent!)

Get rows from a table

Filter rows

Add a row

Get page content

Rate Limits

Security

Development

Run unit & integration tests

Run E2E tests (requires write-enabled API token)

Run with debug logging

Format & lint

License