How to connect Bigml to Hermes Agent
Connect Bigml to Hermes with ClawLink: paste your Bigml key once and 45 tools work from chat. No MCP server to run, nothing stored on your machine.
BigmlAPI KEYMCPBigML is a comprehensive machine learning platform that simplifies the creation and deployment of predictive models through an intuitive web interface and a REST API.. Once connected, Hermes Agent can read and act on Bigml from chat — pairing, token refresh, and tool wiring handled for you.
Most guides for giving Hermes Agent Bigml 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 Bigml setup: pair once in the browser and your always-on Hermes agent can act on Bigml for you, reading and doing real work on your behalf with no auth, token refresh, or tool wiring to build yourself.
Setup
It takes three steps to connect Hermes to Bigml.
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 Bigml
Paste your API key in the dashboard.
- 3
Use it from chat
Ask Hermes Agent: "What can you do with Bigml?"
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 Bigml in the ClawLink dashboard — paste your Bigml API key once.
Verify the connection by asking Hermes:
Pull the relevant data from Bigml, summarize it in plain English, and point out anything that needs attention.
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 Bigml is connected in the dashboard, that agent calls the same 45 Bigml tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.
Bigml MCP for Hermes
Looking for a Bigml MCP server for Hermes Agent? ClawLink connects Bigml to Hermes Agent and exposes 45 Bigml tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using OpenClaw instead? The OpenClaw Bigml integration works the same way.
What the Hermes Agent Bigml integration can do
45 Bigml 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 45.
30 of 45 Bigml tools for Hermes
| Tool | What it does |
|---|---|
Get configuration bigml_get_configuration | Retrieves complete details of a BigML configuration by its ID to get stored parameters |
Get external connector bigml_get_external_connector | Retrieves complete details of a BigML external connector by its ID |
Get project bigml_get_project | Retrieve details of a project by ID |
Get source bigml_get_source | Retrieves complete details of a BigML source by its ID |
List anomalies bigml_list_anomalies | List anomaly detector resources in your account |
List anomaly scores bigml_list_anomaly_scores | List anomaly score resources |
List association sets bigml_list_association_sets | List association set resources in your account |
List associations bigml_list_associations | List association resources |
List batch anomaly scores bigml_list_batch_anomaly_scores | List batch anomaly score resources |
List batch centroids bigml_list_batch_centroids | List all batch centroid resources in your account with support for filtering, ordering, and |
List batch predictions bigml_list_batch_predictions | List batch prediction resources |
List batch projections bigml_list_batch_projections | List batch projection resources with support for filtering, ordering, and pagination |
List batch topic distributions bigml_list_batch_topic_distributions | List batch topic distribution resources |
List centroids bigml_list_centroids | List centroid resources |
List clusters bigml_list_clusters | List cluster resources with support for filtering, ordering, and pagination |
List composites bigml_list_composites | List composite source resources |
List configurations bigml_list_configurations | List all configuration resources in your account |
List correlations bigml_list_correlations | List correlation resources |
List datasets bigml_list_datasets | List dataset resources |
List deepnets bigml_list_deepnets | List deep neural network resources |
List ensembles bigml_list_ensembles | List ensemble resources with filtering, ordering, and pagination support |
List evaluations bigml_list_evaluations | List evaluation resources |
List executions bigml_list_executions | List execution resources |
List forecasts bigml_list_forecasts | List forecast resources |
List fusions bigml_list_fusions | List fusion resources |
List libraries bigml_list_libraries | List WhizzML library resources |
List linear regressions bigml_list_linear_regressions | List linear regression resources |
List logistic regressions bigml_list_logistic_regressions | List logistic regression resources |
List models bigml_list_models | List model resources |
List optimls bigml_list_optimls | List OptiML resources in your account |
Try it: find the Bigml tool you need
Browse the 30 Bigml tools
Click any tool to see exactly what Hermes can do and copy a ready-to-use prompt.
Example prompts
Pull the relevant data from Bigml, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Bigml, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Bigml, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Bigml, 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 Hermes Agent. That is fine if you want to build and maintain the integration yourself. Most teams just want Bigml working from chat.
| Manual | ClawLink | |
|---|---|---|
| Credential handling | Collect, validate, store, and rotate the Bigml API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Bigml 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 Bigml. | 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 Bigml actions to the runtime in a format your agent can reliably use. | 45 tools for Bigml are already exposed through ClawLink, so the agent can read and act from chat immediately. |
ClawLink vs. Composio
Composio also exposes Bigml 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 Bigml in the browser, and the 45 tools above work from chat. There is no SDK and no config file, and the Bigml 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 Bigml
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 Bigml 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 Bigml tools
Bigml 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 Bigml 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.
Bigml 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 Bigml 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 Bigml integration?
Yes. ClawLink is the fastest way to connect Hermes to Bigml: link your Bigml account once in the browser and Hermes Agent can call the Bigml API through 45 ready-made tools — no custom code or token handling.
How do I connect Bigml 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 Bigml in the dashboard and Hermes can use it from the next message — no config files, and the Bigml key you paste is stored server-side instead of in your environment.
How long does it take to connect Bigml to Hermes Agent?
About two minutes. Sign in, click Connect next to Bigml in the dashboard, authenticate, and Hermes Agent can use it from the next chat message.
Why use ClawLink instead of wiring Bigml 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 Bigml working from chat.
Hermes paired but still can't use Bigml
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.
Related
Connect DataRobot
DataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets.
Connect Chatbotkit
ChatBotKit is a platform that enables developers to build and manage AI-powered chatbots, offering comprehensive APIs and SDKs for seamless integration into applications.
Hermes Just One API integration
Just One API provides unified access to public social media, creator, entertainment, and ecommerce data across hundreds of metered endpoints.