# How to connect Gigasheet to OpenClaw (paste one key, 150 tools)

> Connect Gigasheet to OpenClaw with ClawLink: paste your Gigasheet key once and 150 tools work from chat. No MCP server to run, nothing stored on your machine.

Web version: https://claw-link.dev/openclaw/gigasheet

The usual route to Gigasheet access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Gigasheet setup: install one ClawHub skill, connect Gigasheet in the browser, and OpenClaw can call real Gigasheet actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.

**Start here:** install the ClawLink plugin (`openclaw plugins install clawhub:clawlink-plugin`), pair it in the browser, then connect the app in the ClawLink dashboard. The interactive install prompt is on the web version of this page: https://claw-link.dev/openclaw/gigasheet

## Setup

It takes three steps to connect OpenClaw to Gigasheet.

1. **Install ClawLink** — add the plugin to OpenClaw once.
2. **Connect Gigasheet** — one-click OAuth in the ClawLink dashboard.
3. **Use it from chat** — ask OpenClaw in plain English.

**Alternative for any agent (no plugin needed):** if the OpenClaw plugin route isn't available or doesn't work, any AI agent with shell access can use the ClawLink CLI instead:

```bash
npx -y @useclawlink/cli login          # sign in via browser — no API key to paste
npx -y @useclawlink/cli connect gigasheet  # connect Gigasheet (browser OAuth)
npx -y @useclawlink/cli actions gigasheet  # list available actions
npx -y @useclawlink/cli run gigasheet <action> --input '<json>'  # execute (add --confirm for writes)
```

### Install by command

The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval:

```bash
openclaw plugins install clawhub:clawlink-plugin
```

Then ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say `done`. Finally, connect Gigasheet in the [ClawLink dashboard](https://claw-link.dev/dashboard) — paste your Gigasheet API key once.

Verify the connection by asking OpenClaw:

> Use Gigasheet to append dataset and walk me through the result in plain English.

### Using a different agent?

The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI:

```bash
npx -y @useclawlink/cli login
```

`login` opens the same browser approval and stores a credential locally. Once Gigasheet is connected in the dashboard, that agent calls the same 150 Gigasheet tools over MCP. Full setup for MCP clients and shell agents: [connect apps to any AI agent](https://claw-link.dev/learn/connect-apps-to-any-ai-agent).

## Gigasheet MCP for OpenClaw

Looking for a Gigasheet MCP server for OpenClaw? ClawLink connects Gigasheet to OpenClaw and exposes 150 Gigasheet tools your agent can call over [MCP](https://claw-link.dev/learn/what-is-an-mcp-server), with [hosted auth](https://claw-link.dev/learn/oauth-for-ai-agents) and nothing to run or maintain yourself. Using Hermes instead? The [Hermes Gigasheet integration](https://claw-link.dev/hermes/gigasheet) works the same way.

## What the OpenClaw Gigasheet integration can do

150 Gigasheet tools are ready for OpenClaw once the account is connected. The 30 below are the ones people reach for most; your agent can call all 150.

### 30 of 150 Gigasheet tools for OpenClaw

| Tool | What it does |
|---|---|
| **Append dataset** `gigasheet_append_dataset` | Appends rows to an existing Gigasheet dataset using column letters as keys |
| **Append dataset from sheet** `gigasheet_append_dataset_from_sheet` | Append data from a source sheet to a target sheet by matching column names |
| **Apply user defined http enrichment** `gigasheet_apply_user_defined_http_enrichment` | Apply generic HTTP enrichment to a Gigasheet dataset |
| **Calculate enrich expected credits** `gigasheet_calculate_enrich_expected_credits` | Calculate expected credits for a user-defined HTTP enrichment operation |
| **Cancel enrich user defined http task** `gigasheet_cancel_enrich_user_defined_http_task` | Cancel a running enrichment task |
| **Count dataset deduplicate rows** `gigasheet_count_dataset_deduplicate_rows` | Count how many duplicates will be removed and how many rows remain when deduplicating |
| **Count dataset groups** `gigasheet_count_dataset_groups` | Count the number of groups matching certain criteria in a Gigasheet dataset |
| **Count dataset rows** `gigasheet_count_dataset_rows` | Counts rows in a Gigasheet dataset matching specified filter criteria |
| **Count datasets activity count** `gigasheet_count_datasets_activity_count` | Get total activity count on a given Gigasheet dataset |
| **Create AI chat** `gigasheet_create_ai_chat` | AI analysis assistant for Gigasheet datasets |
| **Create dataset formula preview** `gigasheet_create_dataset_formula_preview` | Calculate a formula preview on a Gigasheet dataset and return sample results with involved column values |
| **Create file aggregation** `gigasheet_create_file_aggregation` | Retrieve ungrouped aggregated values for a Gigasheet file |
| **Filter file rows** `gigasheet_filter_file_rows` | Retrieve rows from a Gigasheet file matching specified filter criteria |
| **Generate dataset description** `gigasheet_generate_dataset_description` | Generates an AI-powered description for a Gigasheet dataset |
| **Get AI handle logs** `gigasheet_get_ai_handle_logs` | Retrieve AI chat history for a sheet |
| **Get cell comments** `gigasheet_get_cell_comments` | Get comments for a specific cell in a Gigasheet dataset |
| **Get client state current version** `gigasheet_get_client_state_current_version` | Retrieves the current client-state version and timestamp for a specified sheet |
| **Get connector connection params** `gigasheet_get_connector_connection_params` | Get connection parameters for a specific connector |
| **Get connectors connection params connectorname** `gigasheet_get_connectors_connection_params_connectorname` | Retrieve connection parameters for a specific connector type |
| **Get connectors connections** `gigasheet_get_connectors_connections` | List connector connections |
| **Get connectors sources** `gigasheet_get_connectors_sources` | Retrieve information about connected data sources for the user |
| **Get connectors sources params connectorname** `gigasheet_get_connectors_sources_params_connectorname` | Get parameters required for a specific connector source type |
| **Get dataset column comments** `gigasheet_get_dataset_column_comments` | Get comments for a specific column in a dataset sheet |
| **Get dataset handle** `gigasheet_get_dataset_handle` | Retrieves comprehensive metadata for a specific dataset in Gigasheet |
| **Get dataset handle columns** `gigasheet_get_dataset_handle_columns` | List all column metadata (IDs, names, types) for a dataset |
| **Get dataset handle download export** `gigasheet_get_dataset_handle_download_export` | Retrieve the download URL for an exported dataset |
| **Get dataset handle liveshare shareid** `gigasheet_get_dataset_handle_liveshare_shareid` | Retrieve CSV data from a Gigasheet liveshare |
| **Get dataset handle note** `gigasheet_get_dataset_handle_note` | Retrieve a dataset's note by handle |
| **Get dataset handle organization permissions** `gigasheet_get_dataset_handle_organization_permissions` | Retrieve organization file permissions for a dataset |
| **Get dataset handle version** `gigasheet_get_dataset_handle_version` | Retrieves metadata about a dataset at a specific version |

## Example prompts

**Append Dataset**

> Use Gigasheet to append dataset and walk me through the result in plain English.

**Append Dataset From Sheet**

> Use Gigasheet to append dataset from sheet and walk me through the result in plain English.

**Apply User Defined Http Enrichment**

> Use Gigasheet to apply user defined http enrichment and walk me through the result in plain English.

**Calculate Enrich Expected Credits**

> Use Gigasheet to calculate enrich expected credits and walk me through the result in plain English.

## ClawLink vs. building it yourself

The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Gigasheet working from chat.

| | Manual | ClawLink |
|---|---|---|
| **Credential handling** | Collect, validate, store, and rotate the Gigasheet API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Gigasheet account becomes available to the agent without you building credential management. |
| **Ongoing maintenance** | You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Gigasheet. | ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure. |
| **Agent usability** | You still need to expose the right Gigasheet actions to the runtime in a format your agent can reliably use. | 150 tools for Gigasheet are already exposed through ClawLink, so the agent can read and act from chat immediately. |

## ClawLink vs. Composio

Composio also exposes Gigasheet to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Gigasheet in the browser, and the 150 tools above work from chat. There is no SDK and no config file, and the Gigasheet key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full [Composio alternatives](https://claw-link.dev/hub/composio-alternatives) comparison.

### OpenClaw installed the Gigasheet skill but can't call the tools
The ClawHub skill teaches OpenClaw about Gigasheet, but the calls run through the ClawLink plugin and your connected account. Make sure Gigasheet is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.

### Connection succeeds but no tools appear
Reconnect Gigasheet from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded.

### "Tool schema not loaded yet" error when calling Gigasheet tools
Gigasheet tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Gigasheet call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again.

### Gigasheet returns 403 or "permission denied" on one action while others work
Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs.

### API key setup works but results look incomplete
Double-check that the API key for Gigasheet has the right scopes or account access. A valid key can still be too limited for some reads or writes.

### Is there a OpenClaw Gigasheet integration?
Yes. ClawLink is the fastest way to connect OpenClaw to Gigasheet: link your Gigasheet account once in the browser and OpenClaw can call the Gigasheet API through 150 ready-made tools — no custom code or token handling.

### How do I add Gigasheet to OpenClaw with ClawLink?
Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Gigasheet skill from ClawHub, then you click Connect in the dashboard to authorize Gigasheet. OpenClaw calls the tools from the next message — no config files, and the Gigasheet key you paste is stored server-side instead of in your environment.

### How long does it take to connect Gigasheet to OpenClaw?
About two minutes. Sign in, click Connect next to Gigasheet in the dashboard, authenticate, and OpenClaw can use it from the next chat message.

### Why use ClawLink instead of wiring Gigasheet up myself?
The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Gigasheet working from chat.

### OpenClaw installed the Gigasheet skill but can't call the tools
The ClawHub skill teaches OpenClaw about Gigasheet, but the calls run through the ClawLink plugin and your connected account. Make sure Gigasheet is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.

## Related

- [GitHub](https://claw-link.dev/openclaw/github) — Manage repositories, issues, pull requests, and workflows
- [OpenClaw PagerDuty integration](https://claw-link.dev/openclaw/pagerduty) — Manage incidents, on-call schedules, and services
- [SafetyCulture](https://claw-link.dev/openclaw/safetyculture) — SafetyCulture (formerly iAuditor) is a workplace operations platform that enables teams to conduct digital inspections, manage audits, track issues, schedule tasks, and maintain compliance through mobile and web applications.
