How to connect DataRobot to Hermes Agent
Connect DataRobot to Hermes with ClawLink: paste your DataRobot key once and 836 tools work from chat. No MCP server to run, nothing stored on your machine.
DataRobotAPI KEYMCPDataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets.. Once connected, Hermes Agent can read and act on DataRobot from chat — pairing, token refresh, and tool wiring handled for you.
Most guides for giving Hermes Agent DataRobot access start with registering your own OAuth app or pasting API keys into env files, then leave the token refresh and tool wiring to you. ClawLink gives Hermes a more practical DataRobot setup: pair once in the browser and your always-on Hermes agent can act on DataRobot for you, reading and doing real work on your behalf with no auth, token refresh, or tool wiring to build yourself.
Copy this prompt into Hermes to install the plugin and pair your account.
Set up ClawLink for Hermes and tell me when it's ready.
1. Install the plugin:
hermes plugins install ClawLink-HQ/hermes-plugin --enable
2. Start pairing. It prints an approval link, so show me the link and stop, don't wait:
hermes clawlink begin
3. I'll approve it in my browser, then reply "approved".
4. When I say approved, finish setup:
hermes clawlink finish
5. Then run `hermes clawlink test` and tell me whether ClawLink is ready.Setup
It takes three steps to connect Hermes to DataRobot.
1Install and pair
Install the ClawLink plugin, then pair Hermes with a one-time browser approval:
hermes plugins install ClawLink-HQ/hermes-plugin --enable- 2
Connect DataRobot
Paste your API key in the dashboard.
- 3
Use it from chat
Ask Hermes Agent: "What can you do with DataRobot?"
Install by command
The prompt above walks Hermes through this. By hand, it is four commands and a browser approval:
hermes plugins install ClawLink-HQ/hermes-plugin --enable
hermes clawlink begin # prints an approval link — open it and approve
hermes clawlink finish # after approving in the browser
hermes clawlink testThen connect DataRobot in the ClawLink dashboard — paste your DataRobot API key once.
Verify the connection by asking Hermes:
Use DataRobot to add user to organization and walk me through the result in plain English.
Using a different agent?
The Hermes 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 DataRobot is connected in the dashboard, that agent calls the same 836 DataRobot tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.
DataRobot MCP for Hermes
Looking for a DataRobot MCP server for Hermes Agent? ClawLink connects DataRobot to Hermes Agent and exposes 836 DataRobot tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using OpenClaw instead? The OpenClaw DataRobot integration works the same way.
What the Hermes Agent DataRobot integration can do
836 DataRobot tools are ready for Hermes Agent once the account is connected. The 30 below are the ones people reach for most; your agent can call all 836.
30 of 836 DataRobot tools for Hermes
| Tool | What it does |
|---|---|
Add user to organization datarobot_add_user_to_organization | Add a user to an existing organization |
Add users to group datarobot_add_users_to_group | Add one or more users to a DataRobot user group by groupId |
Analyze dataset definition datarobot_analyze_dataset_definition | Analyze a dataset definition by ID |
Archive model package datarobot_archive_model_package | Archive a DataRobot model package |
Check project status datarobot_check_project_status | Check the status of a DataRobot project |
Create code snippets datarobot_create_code_snippets | Generate code snippets for DataRobot models, predictions, or workloads |
Create code snippets download datarobot_create_code_snippets_download | Download code snippets for DataRobot deployments, models, or workloads |
Create data slices slice sizes datarobot_create_data_slices_slice_sizes | Compute the number of rows available after applying a data slice to a dataset subset |
Create deployments actuals data exports datarobot_create_deployments_actuals_data_exports | Create a deployment actuals data export for a specified time period |
Create deployments training data exports datarobot_create_deployments_training_data_exports | Create a deployment training data export in DataRobot |
Create external data stores columns datarobot_create_external_data_stores_columns | Retrieve column metadata from an external data store |
Create external data stores columns info datarobot_create_external_data_stores_columns_info | Retrieve column metadata for a table in an external data store |
Create external data stores schemas datarobot_create_external_data_stores_schemas | Retrieve data store schemas |
Create external data stores tables datarobot_create_external_data_stores_tables | Retrieve database tables and views from a DataRobot external data store |
Create files links datarobot_create_files_links | Generate temporary download URLs for files in a catalog item |
Create files versions links datarobot_create_files_versions_links | Generate temporary download URLs for catalog file versions |
Create otel metrics values over time segments datarobot_create_otel_metrics_values_over_time_segments | Get OpenTelemetry metric values for a specified entity, grouped by multiple attributes |
Create projects cross series properties datarobot_create_projects_cross_series_properties | Validate columns for potential use as the group-by column for cross-series functionality in a |
Create recipes SQL datarobot_create_recipes_sql | Build SQL query for a DataRobot recipe |
Create string encryptions datarobot_create_string_encryptions | Encrypt a string which DataRobot can decrypt when needed |
Create usage data exports datarobot_create_usage_data_exports | Create a customer usage data artifact request in DataRobot |
Create user blueprints bulk validations datarobot_create_user_blueprints_bulk_validations | Validate multiple user blueprints in bulk and check their configuration correctness |
Create user blueprints task parameters datarobot_create_user_blueprints_task_parameters | Validate task parameters for custom tasks in DataRobot User Blueprints |
Download custom model datarobot_download_custom_model | Download the latest custom model version content from DataRobot |
Download custom model version datarobot_download_custom_model_version | Download custom model version content from DataRobot as a file archive |
Download file datarobot_download_file | Download file data from a DataRobot catalog item by streaming it |
Download scoring code datarobot_download_scoring_code | Download scoring code for a DataRobot deployment |
Evaluate entitlements datarobot_evaluate_entitlements | Evaluate which entitlements are enabled for the authenticated user's DataRobot account |
Export tenant usage datarobot_export_tenant_usage | Export tenant resource usage data for billing and cost analysis |
Get access role datarobot_get_access_role | Retrieve details for a specific Access Role by ID |
Try it: find the DataRobot tool you need
Browse the 30 DataRobot tools
Click any tool to see exactly what Hermes can do and copy a ready-to-use prompt.
Example prompts
Use DataRobot to add user to organization and walk me through the result in plain English.
Use DataRobot to add users to group and walk me through the result in plain English.
Use DataRobot to analyze dataset definition and walk me through the result in plain English.
Before using DataRobot to archive model package, show me what will change and ask for confirmation.
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 Hermes Agent. That is fine if you want to build and maintain the integration yourself. Most teams just want DataRobot working from chat.
| Manual | ClawLink | |
|---|---|---|
| Credential handling | Collect, validate, store, and rotate the DataRobot API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected DataRobot 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 DataRobot. | 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 DataRobot actions to the runtime in a format your agent can reliably use. | 836 tools for DataRobot are already exposed through ClawLink, so the agent can read and act from chat immediately. |
ClawLink vs. Composio
Composio also exposes DataRobot 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 Hermes Agent users instead. You install the plugin once, connect DataRobot in the browser, and the 836 tools above work from chat. There is no SDK and no config file, and the DataRobot 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
Hermes paired but still can't use DataRobot
Pairing is a two-step handshake: run hermes clawlink begin, approve the link in your browser, then run hermes clawlink finish. If you ran finish before approving, or the approval link expired, run hermes clawlink begin again to get a fresh link. Confirm the plugin was installed with --enable, then verify with hermes clawlink test.
Connection succeeds but no tools appear
Reconnect DataRobot 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 DataRobot tools
DataRobot 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 DataRobot 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.
DataRobot 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 DataRobot has the right scopes or account access. A valid key can still be too limited for some reads or writes.
FAQ
Is there a Hermes Agent DataRobot integration?
Yes. ClawLink is the fastest way to connect Hermes to DataRobot: link your DataRobot account once in the browser and Hermes Agent can call the DataRobot API through 836 ready-made tools — no custom code or token handling.
How do I connect DataRobot to Hermes with ClawLink?
Install the plugin with hermes plugins install ClawLink-HQ/hermes-plugin --enable, then pair once: run hermes clawlink begin, approve the link in your browser, and run hermes clawlink finish. Connect DataRobot in the dashboard and Hermes can use it from the next message — no config files, and the DataRobot key you paste is stored server-side instead of in your environment.
How long does it take to connect DataRobot to Hermes Agent?
About two minutes. Sign in, click Connect next to DataRobot in the dashboard, authenticate, and Hermes Agent can use it from the next chat message.
Why use ClawLink instead of wiring DataRobot up myself?
The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for Hermes Agent. That is fine if you want to build and maintain the integration yourself. Most teams just want DataRobot working from chat.
Hermes paired but still can't use DataRobot
Pairing is a two-step handshake: run hermes clawlink begin, approve the link in your browser, then run hermes clawlink finish. If you ran finish before approving, or the approval link expired, run hermes clawlink begin again to get a fresh link. Confirm the plugin was installed with --enable, then verify with hermes clawlink test.
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