# How to integrate Nano nets MCP with Atomic Agent

```json
{
  "title": "How to integrate Nano nets MCP with Atomic Agent",
  "toolkit": "Nano nets",
  "toolkit_slug": "nano_nets",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/nano_nets/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/nano_nets/framework/atomic-agent.md",
  "updated_at": "2026-08-11T13:12:31.154Z"
}
```

## 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 Nano nets.
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 Nano nets account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate Nano nets with

- [OpenAI Agents SDK](https://composio.dev/toolkits/nano_nets/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/nano_nets/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nano_nets/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nano_nets/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nano_nets/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nano_nets/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nano_nets/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/nano_nets/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/nano_nets/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/nano_nets/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nano_nets/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nano_nets/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nano_nets/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/nano_nets/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/nano_nets/framework/autogen)

## TL;DR

### How Atomic Agent connects to Nano nets
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 Nano nets to Atomic Agent

### Connect Nano nets 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 Nano nets. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your Nano nets 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 Nano nets MCP server, and what's possible with it?

The Nano nets MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nano nets account. It provides structured and secure access to your intelligent document processing tools, so your agent can create, manage, and train OCR models, extract data from documents, and automate document workflows on your behalf.
- Automated document data extraction: Let your agent process unstructured documents and pull out structured data using Nano nets' powerful AI-driven OCR models.
- OCR model management: Easily create, update, and delete OCR models, allowing your agent to adjust to changing document types and business needs.
- Workflow and document handling: Enable your agent to list, track, and manage documents within workflows, so you can monitor processing status and outcomes efficiently.
- Training image uploads and model improvement: Have your agent upload new training images to OCR models, continually improving accuracy and adapting to new document formats.
- Comprehensive model insights: Retrieve detailed information about your OCR models and their prediction files, empowering your agent to audit, debug, or optimize model performance as needed.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NANO_NETS_CREATE_MODEL` | Create Model | Tool to create a new image classification or OCR model. Use when you need to initialize a model before uploading training images. Provide a list of categories/classes that the model should learn to identify or extract. |
| `NANO_NETS_DELETE_MODEL` | Delete OCR Model | Permanently deletes an OCR model from Nanonets. Use this action when you need to remove a trained model that is no longer needed. This action is irreversible - once deleted, the model and all its training data cannot be recovered. Prerequisites: Obtain the model_id from the 'Get all OCR models' action first. |
| `NANO_NETS_GET_ALL_MODELS` | Get All Models | Retrieves all models (OCR and Image Classification) in the user's NanoNets account. Returns model details including ID, type, status, accuracy, and extractable fields/categories. Use to discover available models before performing predictions or training operations. |
| `NANO_NETS_GET_ALL_PREDICTION_FILES` | Get All Prediction Files | Retrieve all prediction files (OCR results) for a NanoNets model. Use this tool to: - List all documents/images that have been processed by an OCR model - Get prediction results including extracted text and field values - Access file URLs and processing status for each prediction The response includes prediction labels with extracted text, confidence scores, and bounding box coordinates for each processed file. |
| `NANO_NETS_GET_MODEL_DETAILS` | Get OCR Model Details | Tool to retrieve details of an OCR model. Use when you need full metadata of a model by its ID. |
| `NANO_NETS_GET_TRAINING_IMAGES` | Get OCR Training Images | Tool to retrieve training images for an OCR model. Use when you need to page through images associated with a model before training or analysis. |
| `NANO_NETS_GET_WORKFLOWS` | Get Workflows | Tool to retrieve a list of all workflows in your Nanonets account. Use when you need to inventory or inspect all configured workflows. |
| `NANO_NETS_LIST_DOCUMENTS` | List Workflow Documents | Retrieve a paginated list of documents processed by a NanoNets workflow. Returns document metadata including processing status, upload timestamp, verification status, and page details. Use this to monitor document processing progress or access extracted data from previously uploaded documents. |
| `NANO_NETS_UPDATE_MODEL` | Update Model AI Guidelines | Update AI Agent guidelines for an OCR model. Sets instructions for how the AI should handle field and table predictions. Only works for Instant Learning models. Use this to customize extraction behavior for specific document types. |
| `NANO_NETS_UPLOAD_TRAINING_IMAGES_BY_FILE` | Upload Training Images by File | Tool to upload a training image file to a specified OCR model. Use when adding a local image file to train the model. Supported file formats include PNG, JPEG, and PDF. |
| `NANO_NETS_UPLOAD_TRAINING_IMAGES_BY_URL` | Upload Training Images by URL | Tool to upload training images by URL to a specified OCR model. Use when adding URLs of images to a model for training purposes. |

## 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 Nano nets from Atomic Agent
With your account connected, ask Atomic Agent to work with Nano nets 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 Nano nets MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/nano_nets/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/nano_nets/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nano_nets/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nano_nets/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nano_nets/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nano_nets/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nano_nets/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/nano_nets/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/nano_nets/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/nano_nets/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nano_nets/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nano_nets/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nano_nets/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/nano_nets/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/nano_nets/framework/autogen)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [ActiveMerge](https://composio.dev/toolkits/active_merge) - ActiveMerge is a document automation platform for generating documents, images, merged files, and e-signature workflows. It helps teams turn templates and stored files into finished, shareable documents faster.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Airparser](https://composio.dev/toolkits/airparser) - Airparser is an AI-powered parser for extracting structured data from emails, documents, PDFs, and files. It turns messy inbound content into clean fields your apps and workflows can use.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses.
- [Archive.org](https://composio.dev/toolkits/archive_org) - Archive.org is the Internet Archive's digital library of websites, books, audio, video, and images. Use it to preserve, explore, and access historical web captures and public-domain media.
- [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files.
- [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently.
- [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price.
- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Box MCP](https://composio.dev/toolkits/box_mcp) - Box MCP is Box's hosted MCP server that exposes enterprise files, folders, and metadata. It provides secure, centralized access to corporate content for search and management.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [CertSeal](https://composio.dev/toolkits/cert_seal) - CertSeal is an API platform for issuing and managing verifiable digital certificates. Use it to automate trusted certificate workflows for recipients, batches, designs, and webhooks.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
- [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Nano nets MCP?

With a standalone Nano nets MCP server, the agents and LLMs can only access a fixed set of Nano nets tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Nano nets 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 Nano nets tools.

### Can I manage the permissions and scopes for Nano nets while using Tool Router?

Yes, absolutely. You can configure which Nano nets 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 Nano nets data and credentials are handled as safely as possible.

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