How to connect Scale ai to OpenClaw
Connect Scale ai to OpenClaw with ClawLink: paste your Scale ai key once and 40 tools work from chat. No MCP server to run, nothing stored on your machine.


Scale AI provides data labeling and annotation services for machine learning, offering access to a global workforce and sophisticated tools for training AI models with high-quality labeled data.. Once connected, OpenClaw can read and act on Scale ai from chat — pairing, token refresh, and tool wiring handled for you.
The usual route to Scale ai 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 Scale ai setup: install one ClawHub skill, connect Scale ai in the browser, and OpenClaw can call real Scale ai actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.
Setup
It takes three steps to connect OpenClaw to Scale ai.
1Install the plugin
Paste the setup prompt into OpenClaw, or install from the terminal and ask OpenClaw to pair:
openclaw plugins install clawhub:clawlink-plugin- 2
Connect Scale ai
Paste your API key in the dashboard.
- 3
Use it from chat
Ask OpenClaw: "What can you do with Scale ai?"
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:
openclaw plugins install clawhub:clawlink-pluginThen 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 Scale ai in the ClawLink dashboard — paste your Scale ai API key once.
Verify the connection by asking OpenClaw:
Pull the relevant data from Scale ai, summarize it in plain English, and point out anything that needs attention.
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:
npx -y @useclawlink/cli loginlogin opens the same browser approval and stores a credential locally. Once Scale ai is connected in the dashboard, that agent calls the same 40 Scale ai tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.
Scale ai MCP for OpenClaw
Looking for a Scale ai MCP server for OpenClaw? ClawLink connects Scale ai to OpenClaw and exposes 40 Scale ai tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using Hermes instead? The Hermes Scale ai integration works the same way.
What the OpenClaw Scale ai integration can do
40 Scale ai 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 40.
30 of 40 Scale ai tools for OpenClaw
| Tool | What it does |
|---|---|
Get assets scale_ai_get_assets | Retrieve file assets with filtering capabilities by project and metadata |
Get batch scale_ai_get_batch | Retrieve the details of a batch with the specified name |
Get batch status scale_ai_get_batch_status | Retrieve the current status of a batch and task completion counts |
Get fixless audits scale_ai_get_fixless_audits | Retrieve fixless audits by task ID or audit ID |
Get project scale_ai_get_project | Retrieve details about a specific Scale AI project using its unique identifier |
Get quality labelers scale_ai_get_quality_labelers | Retrieve training attempts matching provided filter parameters |
Get studio assignments scale_ai_get_studio_assignments | Retrieve current project assignments of all active team users in Scale AI Studio |
Get studio batches scale_ai_get_studio_batches | Retrieve basic information about all pending batches in Studio |
Get teams scale_ai_get_teams | Retrieve basic information about all team members associated with the account |
Get v1 task scale_ai_get_v1_task | Retrieve detailed information about a specific task using its task ID |
Get v1 task response URL scale_ai_get_v1_task_response_url | Retrieve secure authenticated task response data |
List batches scale_ai_list_batches | Retrieve all batches in descending order by creation date |
List projects scale_ai_list_projects | Retrieve information for all projects in the Scale AI account with optional archived filtering |
List tasks scale_ai_list_tasks | Retrieve a paginated list of tasks in descending order by creation time |
Add studio assignments scale_ai_add_studio_assignments | Add project assignments to team members in Scale AI Studio |
Add task tags scale_ai_add_task_tags | Add tags to an existing task |
Create batch scale_ai_create_batch | Create a new batch within a project |
Create document transcription task scale_ai_create_document_transcription_task | Create a document transcription task where workers transcribe and annotate information from |
Create image annotation task scale_ai_create_image_annotation_task | Create an image annotation task where annotators label images with vector geometric shapes |
Create lidar annotation task scale_ai_create_lidar_annotation_task | Create a lidar annotation task where annotators mark objects with 3D cuboids in 3D space |
Create lidar segmentation task scale_ai_create_lidar_segmentation_task | Create a LiDAR segmentation task where annotators assign semantic class labels to individual |
Create named entity recognition task scale_ai_create_named_entity_recognition_task | Create a named entity recognition task for labelers to highlight text entity mentions |
Create segmentation annotation task scale_ai_create_segmentation_annotation_task | Create a segmentation task where annotators classify pixels in an image according to provided |
Create text collection task scale_ai_create_text_collection_task | Create a textcollection task for collecting information from attachments and/or web sources |
Create video annotation task scale_ai_create_video_annotation_task | Create a video annotation task where annotators draw geometric shapes around specified objects |
Create video playback annotation task scale_ai_create_video_playback_annotation_task | Create a video playback annotation task where annotators draw shapes around specified objects |
Finalize batch scale_ai_finalize_batch | Finalize a batch so its tasks can be worked on |
Import file scale_ai_import_file | Import files from an external URL endpoint into Scale's system rather than uploading directly |
Invite team member scale_ai_invite_team_member | Invite users by email to team with specified role |
Post v1 task send callback scale_ai_post_v1_task_send_callback | Re-send a callback for a completed or errored task to the callback_url |
Try it: find the Scale ai tool you need
Browse the 30 Scale ai tools
Click any tool to see exactly what OpenClaw can do and copy a ready-to-use prompt.
Example prompts
Pull the relevant data from Scale ai, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Scale ai, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Scale ai, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Scale ai, summarize it in plain English, and point out anything that needs attention.
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 Scale ai working from chat.
| Manual | ClawLink | |
|---|---|---|
| Credential handling | Collect, validate, store, and rotate the Scale ai API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Scale ai 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 Scale ai. | 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 Scale ai actions to the runtime in a format your agent can reliably use. | 40 tools for Scale ai are already exposed through ClawLink, so the agent can read and act from chat immediately. |
ClawLink vs. Composio
Composio also exposes Scale ai 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 Scale ai in the browser, and the 40 tools above work from chat. There is no SDK and no config file, and the Scale ai key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full Composio alternatives comparison.
Troubleshooting
OpenClaw installed the Scale ai skill but can't call the tools
The ClawHub skill teaches OpenClaw about Scale ai, but the calls run through the ClawLink plugin and your connected account. Make sure Scale ai 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 Scale ai 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 Scale ai tools
Scale ai 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 Scale ai 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.
Scale ai 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 Scale ai has the right scopes or account access. A valid key can still be too limited for some reads or writes.
FAQ
Is there a OpenClaw Scale ai integration?
Yes. ClawLink is the fastest way to connect OpenClaw to Scale ai: link your Scale ai account once in the browser and OpenClaw can call the Scale ai API through 40 ready-made tools — no custom code or token handling.
How do I add Scale ai to OpenClaw with ClawLink?
Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Scale ai skill from ClawHub, then you click Connect in the dashboard to authorize Scale ai. OpenClaw calls the tools from the next message — no config files, and the Scale ai key you paste is stored server-side instead of in your environment.
How long does it take to connect Scale ai to OpenClaw?
About two minutes. Sign in, click Connect next to Scale ai in the dashboard, authenticate, and OpenClaw can use it from the next chat message.
Why use ClawLink instead of wiring Scale ai 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 Scale ai working from chat.
OpenClaw installed the Scale ai skill but can't call the tools
The ClawHub skill teaches OpenClaw about Scale ai, but the calls run through the ClawLink plugin and your connected account. Make sure Scale ai 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.
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