Connector guide3-minute read13 MCP tools7 languages

How to Connect Coda to ChatGPT — via MCP

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

HCBy HelpCode teamUpdated 3 min read Open-source on GitHub

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Coda

Coda

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

tools

13

Region

INTL

Category

Project Management

Authentication

Bearer Token

Required env vars

CODA_API_TOKEN
Install in one click on Cloud

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  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source · AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the Coda in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

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Summary

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

Try asking

Example prompts for Coda

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

Coda · live via MCP
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Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Coda, paste your credentials, mint an MCP API key — done. No Docker, no git clone, no local server.

Coda + ChatGPT

Drive Coda (docs + tables + formulas) from any AI agent: docs, tables, rows, columns, formulas, packs, controls. 13 tools, Bearer token auth.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

CODA_API_TOKEN

Step 1 — Get credentials

Setup:

  1. Sign in to https://coda.io → top-right avatar → Account → API settings → Generate API token.
  2. Name the token. Copy it. Set CODA_API_TOKEN.

Authentication: Authorization: Bearer ${CODA_API_TOKEN}.

Resource hierarchy: Doc → Section (Page) → Table → Row → Cell. Coda's twist: tables are first-class with structured columns and types; rows are addressable individually; columns can hold formulas.

Doc IDs look like dXXXXXXXXXX (10-char prefix d). Visible in the doc URL.

Table IDs look like grid-XXXXX. Discover via coda_list_tables(docId).

…(continued in the in-app connector instructions)

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in ChatGPT

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

ChatGPT connects to MCP servers as custom apps in developer mode, available on paid plans (not on Free). On Business and Enterprise workspaces an admin may have to allow it first.

  1. In ChatGPT, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click +.
  3. Enter a name and a short description, e.g. Name: Coda.
  4. Under Connection, enter the MCP server URL https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID and create the connection.
  5. When ChatGPT asks, sign in to AnythingMCP (OAuth) and allow access.

Available tools

ToolWhat it does
coda_whoamiReturn the user the token belongs to
coda_list_docsList docs the user can access
coda_get_docFetch a single doc by ID
coda_list_tablesList tables in a doc
coda_list_columnsList columns in a table
coda_list_rowsList rows in a table or view
coda_get_rowFetch a single row by ID
coda_insert_rowsInsert (or upsert with keyColumns) rows into a table
coda_update_rowUpdate a specific row by ID
coda_delete_rowDelete a single row by ID
coda_delete_rowsBulk-delete rows by IDs (more efficient than per-row)
coda_get_formula_resultEvaluate a named formula on a doc
coda_get_mutation_statusCheck the status of an async mutation (insert/update/delete) by its requestId returned from those calls

FAQ

Does the free ChatGPT plan work with custom MCP connectors? No. Custom MCP connections need developer mode, which is only on paid plans.

Next steps

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