by orellazri
Discover top AI tools for collaborative document management with Coda. List, create, and update pages using advanced AI
Connects AI assistants to Coda documents for managing pages and tables. Allows reading, writing, and organizing content in collaborative Coda workspaces.
Coda is a community-built MCP server published by orellazri that provides AI assistants with tools and capabilities via the Model Context Protocol. Discover top AI tools for collaborative document management with Coda. List, create, and update pages using advanced AI It is categorized under productivity.
You can install Coda in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Coda is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: Coda is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Coda into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Coda for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Coda is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Coda is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We evaluated Coda against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Coda benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Coda has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Coda is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Coda benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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This project implements a Model Context Protocol (MCP) server that acts as a bridge to interact with the Coda API. It allows an MCP client (like an AI assistant) to perform actions on Coda pages, such as listing, creating, reading, updating, duplicating, and renaming.
The server exposes the following tools to the MCP client:
coda_list_documents: Lists all documents available to the user.coda_list_pages: Lists all pages within the configured Coda document with pagination support.coda_create_page: Creates a new page in the document, optionally under a specified parent page (creating a subpage) and populating it with initial markdown content.coda_get_page_content: Retrieves the content of a specified page (by ID or name) as markdown.coda_replace_page_content: Replaces the content of a specified page with new markdown content.coda_append_page_content: Appends new markdown content to the end of a specified page.coda_duplicate_page: Creates a copy of an existing page with a new name.coda_rename_page: Renames an existing page.coda_peek_page: Peek into the beginning of a page and return a limited number of lines.coda_resolve_link: Resolve metadata given a browser link to a Coda object.coda_list_tables: List tables in a document.coda_list_columns: List columns in a table.coda_list_rows: List rows in a table with optional filtering and sorting.coda_get_row: Get a single row from a table.coda_upsert_rows: Insert or upsert rows into a table.coda_update_row: Update a single row in a table.coda_delete_row: Delete a single row from a table.coda_delete_rows: Delete multiple rows from a table.coda_push_button: Push a button column on a row in a table.Add the MCP server to Cursor/Claude Desktop/etc. like so:
{
"mcpServers": {
"coda": {
"command": "npx",
"args": ["-y", "coda-mcp@latest"],
"env": {
"API_KEY": "..."
}
}
}
}
Required environment variables:
API_KEY: Your Coda API key. You can generate one from your Coda account settings.This MCP server is also available with Docker, like so:
{
"mcpServers": {
"coda": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "API_KEY", "reaperberri/coda-mcp:latest"],
"env": {
"API_KEY": "..."
}
}
}
}
Prerequisites:
Clone the repository:
git clone <repository-url>
cd coda-mcp
Install dependencies:
pnpm install
Build the project:
pnpm build
This compiles the TypeScript code to JavaScript in the dist/ directory.
The MCP server communicates over standard input/output (stdio). To run it, set the environment variables and run the compiled JavaScript file - dist/index.js.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.