# How to integrate Modelry MCP with Atomic Agent ```json { "title": "How to integrate Modelry MCP with Atomic Agent", "toolkit": "Modelry", "toolkit_slug": "modelry", "framework": "Atomic Agent", "framework_slug": "atomic-agent", "url": "https://composio.dev/toolkits/modelry/framework/atomic-agent", "markdown_url": "https://composio.dev/toolkits/modelry/framework/atomic-agent.md", "updated_at": "2026-08-11T13:12:21.230Z" } ``` ## 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 Modelry. 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 Modelry account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions. ## Also integrate Modelry with - [OpenAI Agents SDK](https://composio.dev/toolkits/modelry/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/modelry/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/modelry/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/modelry/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/modelry/framework/codex) - [OpenClaw](https://composio.dev/toolkits/modelry/framework/openclaw) - [Hermes](https://composio.dev/toolkits/modelry/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/modelry/framework/google-adk) - [LangChain](https://composio.dev/toolkits/modelry/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/modelry/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/modelry/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/modelry/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/modelry/framework/crew-ai) - [Pydantic AI](https://composio.dev/toolkits/modelry/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/modelry/framework/autogen) ## TL;DR ### How Atomic Agent connects to Modelry 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 Modelry to Atomic Agent ### Connect Modelry 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 Modelry. It searches Composio for the right tool. - On first use, open the sign-in link returned in the chat. Connect your Modelry 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 Modelry MCP server, and what's possible with it? The Modelry MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Modelry account. It provides structured and secure access to your machine learning model management, so your agent can perform actions like listing modeling requests, creating workspaces, retrieving embed details, and managing products on your behalf. - Workspace management: Easily create new workspaces or fetch details about existing ones to keep your projects organized and separated. - Embed and product operations: List all available embeds, get detailed information, or delete embeds and products as needed for smooth deployment and maintenance. - Repository handling: Retrieve details of product repositories or remove repositories you no longer need—all with structured agent commands. - Modeling request tracking: Quickly list all 3D modeling requests tied to your account to monitor progress and manage workflows efficiently. - Secure automated actions: Let your agent handle repetitive or administrative model management tasks securely, saving you time and effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MODELRY_CREATE_WORKSPACE` | Create Workspace | Create a new workspace or return an existing one with the same name. Workspaces are used to organize products and embeds in Modelry. If workspace creation is not supported by the API, this tool will return an existing workspace matching the requested name. | | `MODELRY_DELETE_EMBED` | Delete Modelry Embed | Tool to delete an embed. Tries multiple common endpoint patterns and treats 404 as idempotent success after exhausting candidates (embed already deleted or not found). | | `MODELRY_DELETE_PRODUCT` | Delete Modelry Product | Permanently deletes a product from Modelry by its ID. Use this action to remove a product that is no longer needed. This operation is idempotent - deleting an already-deleted product will succeed without error. Prerequisites: - Obtain the product ID using MODELRY_LIST_PRODUCTS first - Ensure you have delete permissions for the product WARNING: This action is destructive and cannot be undone. | | `MODELRY_DELETE_PRODUCT_REPOSITORY` | Delete Product Repository | Permanently delete a product repository from Modelry. This action is idempotent - deleting a non-existent repository returns success. Use the list product repositories action first to get valid repository IDs. | | `MODELRY_DELETE_WORKSPACE` | Delete Modelry Workspace | Permanently deletes a Modelry workspace. This action is idempotent - deleting a non-existent workspace will return success. Use the list workspaces action first to get valid workspace IDs. WARNING: This is a destructive action that cannot be undone. | | `MODELRY_GET_EMBED` | Get Embed | Retrieve details of a specific Modelry embed (3D viewer or AR experience for eCommerce). Use MODELRY_LIST_EMBEDS first to obtain valid embed IDs. Returns embed metadata including status, workspace, and configuration details. | | `MODELRY_GET_WORKSPACE` | Get Workspace | Retrieves details for a specific Modelry workspace by its ID or name. The workspace ID can be obtained from the List Workspaces action. This action fetches all workspaces and returns the matching one. | | `MODELRY_LIST_EMBEDS` | List Embeds | List embeds in Modelry. Embeds are 3D viewer/AR embed codes for products. Use to retrieve embed IDs for downstream actions (e.g., MODELRY_GET_EMBED, MODELRY_DELETE_EMBED). Returns empty list if no embeds exist. Supports pagination and optional workspace filtering. | | `MODELRY_LIST_MODELING_REQUESTS` | List Modeling Requests | List all 3D modeling requests in a workspace. Requires workspace_id to scope the request. Returns modeling requests with their status and metadata. | | `MODELRY_LIST_PRODUCT_REPOSITORIES` | List Product Repositories | Tool to list all product repositories in a workspace. Use after confirming the workspace ID. | | `MODELRY_LIST_PRODUCTS` | List Modelry Products | List all products in Modelry. Returns paginated product data including IDs, names, and metadata. Use this to retrieve product IDs needed for other product-related actions like delete or get details. Optionally scope to a specific workspace using workspace_id parameter. | | `MODELRY_LIST_WORKSPACES` | List Modelry Workspaces | Tool to list all workspaces in Modelry. Use when you need to retrieve available workspaces after authenticating. | | `MODELRY_ORDER_MODELING_SERVICE` | Order Modeling Service | Tool to place an order for 3D modeling services. Use when workspace and product IDs are known and modeling specifications are ready. | | `MODELRY_TRACK_MODELING_PROGRESS` | Track Modeling Progress | Tool to track the progress of a 3D modeling request. Use after initiating a modeling job to poll current status and completion percentage. | ## 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 Modelry from Atomic Agent With your account connected, ask Atomic Agent to work with Modelry 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 Modelry MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/modelry/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/modelry/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/modelry/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/modelry/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/modelry/framework/codex) - [OpenClaw](https://composio.dev/toolkits/modelry/framework/openclaw) - [Hermes](https://composio.dev/toolkits/modelry/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/modelry/framework/google-adk) - [LangChain](https://composio.dev/toolkits/modelry/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/modelry/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/modelry/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/modelry/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/modelry/framework/crew-ai) - [Pydantic AI](https://composio.dev/toolkits/modelry/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/modelry/framework/autogen) ## 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. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [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. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [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. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [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. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Modelry MCP? With a standalone Modelry MCP server, the agents and LLMs can only access a fixed set of Modelry tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Modelry 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 Modelry tools. ### Can I manage the permissions and scopes for Modelry while using Tool Router? Yes, absolutely. You can configure which Modelry 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 Modelry data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)