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Coda を ChatGPT に接続する方法 — MCP 経由

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

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MCP connector

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

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
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the Coda in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

💡 インストール不要? cloud.anythingmcp.com を直接利用してください。 サインインし、Connectors → Coda をクリック、認証情報を貼り付け、MCP API キーを発行 — 完了です。Docker も git clone もローカルサーバーも不要。

Coda + ChatGPT

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

前提条件

完全なセットアップ手順はコネクタ自体に組み込まれています (ストアでコネクタを選択すると表示)。必要な環境変数:

CODA_API_TOKEN

ステップ 1 — 認証情報を取得

io/developers/apis/v1).

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)

ステップ 2 — アダプターをインストール

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

ステップ 3 — ChatGPT にコネクタを追加

ChatGPT は Connectors 機能 (Plus / Pro / Team / Enterprise プラン) で MCP サーバーをサポートします。無料プランはカスタムコネクタをサポートしません。

  1. ChatGPT → Settings → Connectors を開きます (またはコンポーザーの 🔧 アイコン → Manage connectors をクリック)。
  2. "Add custom connector" をクリック。
  3. 入力:
    • Name: Coda
    • MCP server URL: https://cloud.anythingmcp.com/mcp
    • Authentication: Bearer token → MCP API キーを貼り付け
  4. Connect をクリック。

利用可能なツール

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

ChatGPT 無料プランはカスタム MCP Connectors で動作しますか? いいえ — Plus、Pro、Team、Enterprise が必要です。

次のステップ

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