# How to connect AI/ML API to Hermes Agent (paste one key, 30 tools) > Connect AI/ML API to Hermes with ClawLink: paste your AI/ML API key once and 30 tools work from chat. No MCP server to run, nothing stored on your machine. Web version: https://claw-link.dev/hermes/ai-ml-api Most guides for giving Hermes Agent AI/ML API 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 AI/ML API setup: pair once in the browser and your always-on Hermes agent can act on AI/ML API 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 AI/ML API. 1. **Install ClawLink** — add the plugin to Hermes Agent once. 2. **Connect AI/ML API** — one-click OAuth in the ClawLink dashboard. 3. **Use it from chat** — ask Hermes Agent in plain English. **Paste this into Hermes to set up ClawLink:** > 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 with `hermes clawlink begin`. It prints an approval link, so show me the link and stop, don't wait. > 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. **Alternative for any agent (no plugin needed):** if the Hermes Agent 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 ai-ml-api # connect AI/ML API (browser OAuth) npx -y @useclawlink/cli actions ai-ml-api # list available actions npx -y @useclawlink/cli run ai-ml-api --input '' # execute (add --confirm for writes) ``` ### Install by command The prompt above walks Hermes through this. By hand, it is four commands and a browser approval: ```bash 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 test ``` Then connect AI/ML API in the [ClawLink dashboard](https://claw-link.dev/dashboard) — paste your AI/ML API API key once. Verify the connection by asking Hermes: > Pull the relevant data from AI/ML API, 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: ```bash npx -y @useclawlink/cli login ``` `login` opens the same browser approval and stores a credential locally. Once AI/ML API is connected in the dashboard, that agent calls the same 30 AI/ML API 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). ## AI/ML API MCP for Hermes Looking for a AI/ML API MCP server for Hermes Agent? ClawLink connects AI/ML API to Hermes Agent and exposes 30 AI/ML API 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 OpenClaw instead? The [OpenClaw AI/ML API integration](https://claw-link.dev/openclaw/ai-ml-api) works the same way. ## What the Hermes Agent AI/ML API integration can do 30 AI/ML API tools are ready for Hermes Agent once the account is connected. The 27 below are the ones people reach for most; your agent can call all 30. ### 27 of 30 AI/ML API tools for Hermes | Tool | What it does | |---|---| | **Get assistant** `ai_ml_api_get_assistant` | Retrieve details of a specific assistant by ID | | **Get billing balance** `ai_ml_api_get_billing_balance` | Retrieve the current billing balance for the account | | **Get luma generation** `ai_ml_api_get_luma_generation` | Fetch Luma AI video generation results by generation IDs | | **Get message** `ai_ml_api_get_message` | Retrieve information about a specific message by its ID | | **Get response** `ai_ml_api_get_response` | Retrieve a previously generated model response by its unique ID | | **Get run** `ai_ml_api_get_run` | Retrieve a specific run by ID from a thread | | **Get run step** `ai_ml_api_get_run_step` | Retrieve a specific run step by its ID within a thread and run | | **Get thread** `ai_ml_api_get_thread` | Retrieve information about a specific thread by ID | | **List assistants** `ai_ml_api_list_assistants` | List all assistants associated with the account | | **List batches** `ai_ml_api_list_batches` | Get the status or results of a batch processing job | | **List luma generations** `ai_ml_api_list_luma_generations` | Fetch user's Luma AI video generations | | **List messages** `ai_ml_api_list_messages` | Retrieve a list of messages from a specific thread | | **List models** `ai_ml_api_list_models` | List all available AI models from the AI/ML API | | **List models with details** `ai_ml_api_list_models_with_details` | List all available AI/ML models with detailed information including pricing, features, and | | **List run steps** `ai_ml_api_list_run_steps` | List the steps in a run | | **List runs** `ai_ml_api_list_runs` | List all runs for a specific thread | | **Text chat completion** `ai_ml_api_text_chat_completion` | Generate text completions or chat responses using a specified LLM model | | **Create assistant** `ai_ml_api_create_assistant` | Create an AI assistant with configurable model, instructions, and tools | | **Create message** `ai_ml_api_create_message` | Create a new message in a thread | | **Create run** `ai_ml_api_create_run` | Create a run that executes an assistant on a thread | | **Create thread** `ai_ml_api_create_thread` | Create a new thread for conversation with an assistant | | **Submit tool outputs** `ai_ml_api_submit_tool_outputs` | Submit tool outputs for a run that requires action | | **Update assistant** `ai_ml_api_update_assistant` | Modify an existing assistant's properties including name, instructions, model, and tools | | **Update message** `ai_ml_api_update_message` | Modify metadata for a specific message in a thread | | **Update run** `ai_ml_api_update_run` | Update a run's metadata with key-value pairs | | **Update thread** `ai_ml_api_update_thread` | Update thread metadata and tool resources in the AI/ML API | | **Cancel run** `ai_ml_api_cancel_run` | Cancel a run that is currently in progress | ## Example prompts **Get Assistant** > Pull the relevant data from AI/ML API, summarize it in plain English, and point out anything that needs attention. **Get Billing Balance** > Pull the relevant data from AI/ML API, summarize it in plain English, and point out anything that needs attention. **Get Luma Generation** > Pull the relevant data from AI/ML API, summarize it in plain English, and point out anything that needs attention. **Get Message** > Pull the relevant data from AI/ML API, 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 AI/ML API working from chat. | | Manual | ClawLink | |---|---|---| | **Credential handling** | Collect, validate, store, and rotate the AI/ML API API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected AI/ML API 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 AI/ML API. | 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 AI/ML API actions to the runtime in a format your agent can reliably use. | 30 tools for AI/ML API are already exposed through ClawLink, so the agent can read and act from chat immediately. | ## ClawLink vs. Composio Composio also exposes AI/ML API 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 AI/ML API in the browser, and the 30 tools above work from chat. There is no SDK and no config file, and the AI/ML API 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. ### Hermes paired but still can't use AI/ML API 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 AI/ML API 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 AI/ML API tools AI/ML API 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 AI/ML API 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. ### AI/ML API 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 AI/ML API has the right scopes or account access. A valid key can still be too limited for some reads or writes. ### Is there a Hermes Agent AI/ML API integration? Yes. ClawLink is the fastest way to connect Hermes to AI/ML API: link your AI/ML API account once in the browser and Hermes Agent can call the AI/ML API API through 30 ready-made tools — no custom code or token handling. ### How do I connect AI/ML API 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 AI/ML API in the dashboard and Hermes can use it from the next message — no config files, and the AI/ML API key you paste is stored server-side instead of in your environment. ### How long does it take to connect AI/ML API to Hermes Agent? About two minutes. Sign in, click Connect next to AI/ML API in the dashboard, authenticate, and Hermes Agent can use it from the next chat message. ### Why use ClawLink instead of wiring AI/ML API 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 AI/ML API working from chat. ### Hermes paired but still can't use AI/ML API 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 - [DataRobot](https://claw-link.dev/hermes/datarobot) — DataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets. - [Hermes Chatbotkit integration](https://claw-link.dev/hermes/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. - [Just One API tools](https://claw-link.dev/hermes/just-one-api) — Just One API provides unified access to public social media, creator, entertainment, and ecommerce data across hundreds of metered endpoints.