# How to integrate LLM API MCP with Atomic Agent

```json
{
  "title": "How to integrate LLM API MCP with Atomic Agent",
  "toolkit": "LLM API",
  "toolkit_slug": "llm_api",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/llm_api/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/llm_api/framework/atomic-agent.md",
  "updated_at": "2026-11-01T07:20:22.117Z"
}
```

## Introduction

Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including LLM API.
This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a LLM API account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate LLM API with

- [ChatGPT](https://composio.dev/toolkits/llm_api/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/llm_api/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/llm_api/framework/hermes-agent)

## TL;DR

### How Atomic Agent connects to LLM API
Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication.
Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account.

## Connect LLM API to Atomic Agent

### Connect LLM API to Atomic Agent
- Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key.
- In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart.
- Ask Atomic Agent to do something in LLM API. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your LLM API account, then return to Atomic Agent to continue.
### Headless setup
Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file.

```bash
COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY
```

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LLM_API_CANCEL_BATCH` | Cancel Batch | Request best-effort cancellation of an in-progress batch. Return the provider's actual batch state without implying cancellation took effect; work may still finish and incur charges before the request is applied. |
| `LLM_API_COUNT_ANTHROPIC_MESSAGE_TOKENS` | Count Anthropic Message Tokens | Count input tokens for an Anthropic-compatible message request without generating a model response. |
| `LLM_API_CREATE_ANTHROPIC_MESSAGE` | Create Anthropic Message | Generate one complete, non-streaming Anthropic-compatible message with flexible content blocks, system prompts, and tool use with your own connection. Instant supports the Claude models listed in its pricing, with plain-text messages and a plain-text system prompt; tools, content blocks and other models are rejected before provider execution. |
| `LLM_API_CREATE_CHAT_COMPLETION` | Create Chat Completion | Generate a complete, non-streaming OpenAI-compatible chat response. Instant supports only the models listed in its pricing, with plain-text messages: no tools, multimodal content, web search, or reasoning-effort overrides. Unsupported Instant requests are rejected before provider execution. With your own connection, use models and capabilities supported by your provider project. |
| `LLM_API_CREATE_EMBEDDINGS` | Create Embeddings | Create vector embeddings for one text or a batch of texts with a selected embedding model. Requires your own connection; this action is unavailable through Instant. |
| `LLM_API_CREATE_RESPONSE` | Create Response | Generate one complete, non-streaming OpenAI Responses-compatible result from text or structured input, preserving reasoning and tool items. Requires your own connection; this action is unavailable through Instant. |
| `LLM_API_DELETE_FILE` | Delete File | Permanently delete a caller-owned or explicitly authorized project file. This destructive operation cannot be undone; a missing file fails with not found rather than reporting a successful deletion. |
| `LLM_API_DISCOVER_MODELS` | 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. |
| `LLM_API_GET_ACCOUNT_AND_CREDITS` | 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. |
| `LLM_API_LIST_OR_GET_BATCHES` | 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 mode supports provider cursor pagination. |
| `LLM_API_LIST_OR_GET_FILES` | 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. List mode supports purpose filtering and provider cursor pagination. |
| `LLM_API_SUBMIT_BATCH` | 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. |

## Supported Triggers

None listed.

## Troubleshooting

### Why is my API key rejected?

Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying.

### Why are Composio tools unavailable after saving a key?

Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk.

### Does Composio have a free plan?

The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection.

## Complete Code

None listed.

## Conclusion

### Use LLM API from Atomic Agent
With your account connected, ask Atomic Agent to work with LLM API in natural language. You can connect more apps through the same Composio integration as you need them.
Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo).

## How to build LLM API MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/llm_api/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/llm_api/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/llm_api/framework/hermes-agent)

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Apiframe](https://composio.dev/toolkits/apiframe) - Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Black Forest Labs](https://composio.dev/toolkits/bfl) - Black Forest Labs provides hosted FLUX models for generating and editing images and videos. It offers fast, flexible media creation with asynchronous processing and fine-tuning support.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.
- [BotMape](https://composio.dev/toolkits/botmape) - BotMape is an API platform for building AI agents, knowledge bases, conversations, and messages. Use it to manage agent workflows and track usage analytics from one place.
- [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and LLM API MCP?

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.

### Can I use Tool Router MCP with Atomic Agent?

Yes, you can. Atomic Agent 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.

### Can I manage the permissions and scopes for LLM API while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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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