orellazi/coda-mcp
by Various
MCP Server for Coda
MCP
orellazi/coda-mcp
Added 1 June 2026
Overview
Connects your AI assistant to Coda so it can read documents, query tables, and create or update rows without you opening the Coda app. Useful for teams that run project trackers, ops docs, or lightweight databases in Coda and want a faster way to keep them current. Covers both reading content and making updates through plain-English requests.
Best for
Best for
Teams running trackers or ops docs in Coda who want updates handled conversationally
Use cases
- Query a Coda table to answer a question about current data
- Create or update a row in a tracker from a plain-English request
- Pull document content into a conversation instead of opening Coda
- Automate a recurring document or table update
How to use
Tools exposed
coda_list_documentscoda_list_pagescoda_create_pagecoda_get_page_contentcoda_replace_page_contentcoda_append_page_contentcoda_duplicate_pagecoda_rename_pagecoda_peek_pagecoda_resolve_linkcoda_list_tablescoda_list_columnscoda_list_rowscoda_get_rowcoda_upsert_rowscoda_update_rowcoda_delete_rowcoda_delete_rowscoda_push_button
Tested with
Cursor, Claude Desktop
Example client config
{\n "mcpServers": {\n "coda": {\n "command": "npx",\n "args": ["-y", "coda-mcp@latest"],\n "env": {\n "API_KEY": "..."\n }\n }\n }\n} Notes
A Model Context Protocol server that enables AI assistants to interact with Coda documents. It exposes Coda API operations as tools for reading, writing, and managing docs through the MCP standard.
60 stars on GitHub. Last updated 2026-03-31. Licensed MIT.
Use cases
- Query Coda tables and retrieve document content via an AI assistant
- Create or update rows in Coda tables programmatically
- Automate document management workflows from an MCP-compatible client
Pros
- Leverages the MCP standard for easy integration with AI tools
- Written in TypeScript for type safety and maintainability
- Small focused codebase with 60 GitHub stars
Cons
- Limited to Coda’s API capabilities and rate limits
- Requires a Coda API token and proper authentication setup
- Relatively new project with a small community
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the MCP standard for easy integration with AI tools
- Written in TypeScript for type safety and maintainability
- Small focused codebase with 60 GitHub stars
Cons
- Limited to Coda's API capabilities and rate limits
- Requires a Coda API token and proper authentication setup
- Relatively new project with a small community
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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