# How to integrate Replicate MCP with Atomic Agent

```json
{
  "title": "How to integrate Replicate MCP with Atomic Agent",
  "toolkit": "Replicate",
  "toolkit_slug": "replicate",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/replicate/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/replicate/framework/atomic-agent.md",
  "updated_at": "2026-08-11T13:13:58.192Z"
}
```

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

## Also integrate Replicate with

- [ChatGPT](https://composio.dev/toolkits/replicate/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/replicate/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/replicate/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/replicate/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/replicate/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/replicate/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/replicate/framework/codex)
- [Grok Build](https://composio.dev/toolkits/replicate/framework/grok-build)
- [Cursor](https://composio.dev/toolkits/replicate/framework/cursor)
- [VS Code](https://composio.dev/toolkits/replicate/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/replicate/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/replicate/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/replicate/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/replicate/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/replicate/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/replicate/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/replicate/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/replicate/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/replicate/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/replicate/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/replicate/framework/autogen)

## TL;DR

### How Atomic Agent connects to Replicate
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 Replicate to Atomic Agent

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

The Replicate MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Replicate account. It provides structured and secure access to your Replicate resources, so your agent can perform actions like running AI model predictions, managing files, browsing model collections, and retrieving model documentation on your behalf.
- Run and manage AI model predictions: Easily instruct your agent to create, monitor, and manage predictions on any deployed Replicate model using custom input parameters.
- Browse and discover model collections: Ask your agent to fetch and list available model collections or retrieve example predictions to explore what’s possible on Replicate.
- Upload and organize files: Let your agent upload new files, list all stored files, or inspect file details to streamline your model workflows.
- Access model metadata and documentation: Retrieve full model details, schemas, and markdown README docs for any model to help you choose and utilize the right model for your tasks.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `REPLICATE_ACCOUNT_GET` | Get Account Information | Tool to get authenticated account information. Use when you need to retrieve details about the account associated with the API token. |
| `REPLICATE_CANCEL_PREDICTION` | Cancel Prediction | Tool to cancel a prediction that is still running. Use when you need to stop an in-progress prediction to free up resources or halt execution. |
| `REPLICATE_COLLECTIONS_GET` | Get model collection | Tool to get a specific collection of models by its slug. Use when you need detailed information about a collection and its models. |
| `REPLICATE_COLLECTIONS_LIST` | List model collections | Tool to list all collections of models. Use when you need to retrieve available model collections. Collections are curated groupings of related models. Response includes only collection metadata (name, slug, description), not individual models within each collection; use REPLICATE_MODELS_GET for per-model details. Response may include a non-null `next` field indicating additional pages; follow it to enumerate all collections. |
| `REPLICATE_CREATE_MODEL` | Create Model | Tool to create a new Replicate model with specified owner, name, visibility, and hardware. Use when you need to create a destination model before launching LoRA/fine-tune training. |
| `REPLICATE_CREATE_PREDICTION` | Create Prediction | Tool to create a prediction for a Replicate Deployment. IMPORTANT: This action ONLY works with Replicate Deployments (persistent instances you create and manage), NOT public models. Deployments are created via REPLICATE_DEPLOYMENTS_CREATE. To run public models (e.g., 'meta/llama-2-70b-chat', 'stability-ai/sdxl'), use REPLICATE_MODELS_PREDICTIONS_CREATE instead. Use 'wait_for' to wait until the prediction completes. |
| `REPLICATE_DEPLOYMENTS_CREATE` | Create Deployment | Tool to create a new deployment with specified model, version, hardware, and scaling parameters. Use when you need to deploy a model for production use with auto-scaling. |
| `REPLICATE_DEPLOYMENTS_DELETE` | Delete Deployment | Tool to delete a deployment from your account. Use when you need to remove a deployment. Deployments must be offline and unused for at least 15 minutes before deletion. |
| `REPLICATE_DEPLOYMENTS_GET` | Get Deployment Details | Tool to get deployment details by owner and name. Use when you need information about a specific deployment including its release configuration and hardware settings. |
| `REPLICATE_DEPLOYMENTS_LIST` | List deployments | Tool to list all deployments associated with the account. Use when you need to retrieve deployment configurations and their latest releases. |
| `REPLICATE_CREATE_FILE` | Create File | Tool to create or upload a file to Replicate. Use when you need to upload file content with optional metadata. |
| `REPLICATE_FILES_DELETE` | Delete File | Tool to delete a file by its ID. Use when you need to remove a file from storage. Returns 204 No Content on success. |
| `REPLICATE_FILES_GET` | Get File Details | Tool to get details of a file by its ID. Use when you need to inspect uploaded file information before further operations. Returned URLs may be short-lived; download or persist needed files promptly after retrieval. |
| `REPLICATE_FILES_LIST` | List Files | Tool to retrieve a paginated list of uploaded files. Use to view all files created by the authenticated user or organization. Files are sorted with most recent first. Pagination is cursor-based: follow the next cursor until empty to retrieve all files. Limit requests to 1–2/second to avoid 429 Too Many Requests errors. Use to validate current file_ids before passing to prediction tools, as stale file_ids cause runtime errors. |
| `REPLICATE_GET_PREDICTION` | Get Prediction | Tool to get the status and output of a prediction by its ID. Use when you need to check on a running prediction or retrieve the results of a completed prediction. |
| `REPLICATE_HARDWARE_LIST` | List Available Hardware | Tool to list available hardware SKUs for models and deployments. Use when you need to see what hardware options are available on the Replicate platform. |
| `REPLICATE_MODELS_EXAMPLES_LIST` | List model examples | Tool to list example predictions for a specific model. Use when you want to retrieve author-provided illustrative examples after identifying the model. Returned examples are minimal working payloads; cross-reference with REPLICATE_MODELS_README_GET before calling REPLICATE_CREATE_PREDICTION to satisfy strict input validation. |
| `REPLICATE_MODELS_GET` | Get Model Details | Tool to get details of a specific model by owner and name. Consult the returned input schema before constructing any prediction request — each model defines its own required/optional fields (e.g., `prompt`, `aspect_ratio`, `version`); missing or unknown keys cause validation errors. Model schemas and available versions may change over time; recheck before production use. |
| `REPLICATE_MODELS_LIST` | List Public Models | Tool to list public models with pagination and sorting. Use when you need to browse available models or find models sorted by creation date. |
| `REPLICATE_MODELS_PREDICTIONS_CREATE` | Create Model Prediction | Tool to create a prediction using an official Replicate model. Use when you need to run inference with a specific model using its owner and name. Supports synchronous waiting (up to 60 seconds) and webhooks for async notifications. |
| `REPLICATE_MODELS_README_GET` | Get Model README | Tool to get the README content for a model in Markdown format. Consult alongside REPLICATE_MODELS_EXAMPLES_LIST before calling REPLICATE_CREATE_PREDICTION — Replicate enforces strict JSON schemas on model inputs and returns 422 errors for incorrect keys or types. Use after retrieving model details when you want to view its documentation. |
| `REPLICATE_MODELS_VERSIONS_GET` | Get Model Version | Tool to get a specific version of a model. Use when you need details about a particular model version including its schema and metadata. |
| `REPLICATE_MODELS_VERSIONS_LIST` | List Model Versions | Tool to list all versions of a specific model. Use when you need to see all available versions of a model, sorted by newest first. |
| `REPLICATE_CREATE_PREDICTION` | Create Prediction | Tool to create a prediction to run a model by version ID. Use when you have a specific model version identifier and need to run inference with provided inputs. Supports synchronous waiting and webhook notifications. |
| `REPLICATE_PREDICTIONS_LIST` | List All Predictions | Tool to list all predictions for the authenticated user or organization with pagination. Use when you need to retrieve prediction history or filter predictions by creation date. |
| `REPLICATE_SEARCH` | Search Models and Collections | Tool to search for models, collections, and docs using text queries (beta). Use when you need to find relevant models or collections based on keywords or descriptions. |
| `REPLICATE_TRAININGS_CANCEL` | Cancel Training | Tool to cancel an ongoing training operation in Replicate. Use when you need to stop a training job that is in progress. |
| `REPLICATE_TRAININGS_CREATE` | Create Training Job | Tool to create a training job for a specific model version. Use when you need to fine-tune a model with custom training data. Supports webhook notifications for training status updates. |
| `REPLICATE_TRAININGS_LIST` | List Training Jobs | Tool to list all training jobs for the authenticated user or organization with pagination. Use when you need to retrieve training history or check the status of training jobs. |
| `REPLICATE_UPDATE_MODELS` | Update Model Metadata | Tool to update metadata for a model including description, URLs, and README. Use when you need to modify a model's visibility, documentation, or associated links. |
| `REPLICATE_WEBHOOKS_SECRET_GET` | Get Webhook Signing Secret | Tool to get the signing secret for the default webhook. Use when you need to retrieve the secret key used to verify webhook authenticity. |

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

- [ChatGPT](https://composio.dev/toolkits/replicate/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/replicate/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/replicate/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/replicate/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/replicate/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/replicate/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/replicate/framework/codex)
- [Grok Build](https://composio.dev/toolkits/replicate/framework/grok-build)
- [Cursor](https://composio.dev/toolkits/replicate/framework/cursor)
- [VS Code](https://composio.dev/toolkits/replicate/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/replicate/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/replicate/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/replicate/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/replicate/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/replicate/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/replicate/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/replicate/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/replicate/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/replicate/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/replicate/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/replicate/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 Replicate MCP?

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

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

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

---
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