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How to integrate LLM API MCP with Hermes

Connect Hermes to LLM API MCP. Generate embeddings for product descriptions, create an image from a product brief, and more using natural language, with authentication handled for you.

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LLM API is a unified inference service for text, embeddings, images, audio, video, files, and batch workloads across AI providers. It gives teams one consistent API for accessing multiple models and media capabilities.

12 Tools

Introduction

Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.

This guide explains the easiest and most robust way to connect your LLM API account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.

Also integrate LLM API with

ChatGPTClaude CoworkAtomic Agent

What is Composio Connect?

Composio Connect is a consumer offering that lets anyone plug 1,500+ applications directly into their agent harness — including Hermes. It can:

  • Search and load tools from relevant toolkits on-demand, reducing context usage.
  • Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
  • Manage app authentication end-to-end with zero manual overhead.

Integrating LLM API with Hermes

Using Composio Connect CLI

1. Install the Composio CLI

Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.

bash
curl -fsSL https://composio.dev/install | bash
Hermes authenticating with Composio

2. Authenticate

Once the CLI is installed, ask Hermes to authenticate with Composio.

3. Connect to LLM API

Ask your agent to connect to LLM API, or simply request any LLM API-related task. Hermes will prompt you to authenticate and authorize access.

4. Done. You're all set with a new LLM API connection.

Using Composio Connect MCP

1. Get your MCP URL and API Key

Go to dashboard.composio.dev and copy your Connect MCP URL and API key.

Copy MCP URL and API key from Composio dashboard

2. Open the Hermes config file

bash
nano ~/.hermes/config.yaml

3. Add the Composio Connect MCP server

bash
mcp_servers:
  composio:
    url: "https://connect.composio.dev/mcp"
    headers:
      x-consumer-api-key: "YOUR_COMPOSIO_API_KEY"
    connect_timeout: 60
    timeout: 180

Save with Ctrl + O, Enter, then exit with Ctrl + X.

4. Restart your Hermes agent

Once restarted, ask your agent to connect to LLM API or request any LLM API-related task. It will prompt you to authenticate and authorize access.

5. Done!

What is the LLM API MCP server, and what's possible with it?

The LLM API MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your LLM API account. It provides structured and secure access to text generation, embeddings, model capabilities, files, batch workloads, and account credits, so your agent can generate responses, create embeddings, discover suitable models, manage files and batch jobs, and check available credits on your behalf.

  • Multi-provider text generation: Have your agent create chat completions, responses, or Anthropic-compatible messages with text, structured inputs, tool use, and supported multimodal content.
  • Embedding creation: Let the agent turn one text or a group of texts into vector embeddings for search, matching, and other AI workflows.
  • Model discovery: Direct your agent to browse available models or inspect a model’s live capabilities before choosing one for a task.
  • File and batch workload management: Instruct your agent to list or retrieve project files, remove files, submit asynchronous batch workloads, and check or cancel batches.
  • Credit and account status: Have your agent review connected user details, project information, credit balances, funding mode, and balance limits.

Way Forward

With LLM API connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.

From here, you can extend Hermes further:

  • Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Hermes can do for you.
  • Build workflows across tools: Once multiple apps are connected, Hermes can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
  • Let it learn your patterns: The more you use Hermes, the better it gets at anticipating how you'd handle recurring tasks. Give it feedback on drafts and decisions, and it will adapt.

If you run into trouble or want to share what you've built, join the community or check out the Docs for deeper configuration options.

TOOLS

Supported Tools

Every LLM API action and event your agent gets out of the box.

Cancel Batch

Request best-effort cancellation of an in-progress batch.

Count Anthropic Message Tokens

Count input tokens for an Anthropic-compatible message request without generating a model response.

Create Anthropic Message

Generate one complete, non-streaming Anthropic-compatible message with flexible content blocks, system prompts, and tool use with your own connection.

Create Chat Completion

Generate a complete, non-streaming OpenAI-compatible chat response.

Create Embeddings

Create vector embeddings for one text or a batch of texts with a selected embedding model.

Create Response

Generate one complete, non-streaming OpenAI Responses-compatible result from text or structured input, preserving reasoning and tool items.

Delete File

Permanently delete a caller-owned or explicitly authorized project file.

Discover Models

Return one model's full live capabilities by ID, or browse a compact, bounded view of the live model catalog using local capability filters.

Get Account and Credits

Return the connected user, project, organization, purchased and bonus credit balances, funding mode, and balance gating in one account-status read.

List or Get Batches

Return one asynchronous batch and its latest lifecycle, token, and cost status by ID, or one provider-default page of project batches when no batch ID is supplied.

List or Get Files

Return metadata for one project file by ID, or one provider-default page of project file metadata when no file ID is supplied.

Submit Batch

Create an asynchronous batch from an existing purpose=batch file ID, or upload a JSONL input file with purpose=batch and create the batch in one call.

FRAMEWORKS

How to build LLM API MCP Agent with another framework

ChatGPT logo

ChatGPT

Use LLM API MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use LLM API MCP with Claude Cowork

Atomic Agent logo

Atomic Agent

Use LLM API MCP with Atomic Agent

FAQ

Frequently asked questions

With a standalone LLM API MCP server, the agents and LLMs can only access a fixed set of LLM API tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from LLM API and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Hermes fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right LLM API tools.

Yes, absolutely. You can configure which LLM API scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your LLM API data and credentials are handled as safely as possible.

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