# How to integrate Replicate MCP with Claude Code ```json { "title": "How to integrate Replicate MCP with Claude Code", "toolkit": "Replicate", "toolkit_slug": "replicate", "framework": "Claude Code", "framework_slug": "claude-code", "url": "https://composio.dev/toolkits/replicate/framework/claude-code", "markdown_url": "https://composio.dev/toolkits/replicate/framework/claude-code.md", "updated_at": "2026-05-12T10:23:52.496Z" } ``` ## Introduction Manage your Replicate directly from Claude Code with zero worries about OAuth hassles, API-breaking issues, or reliability and security concerns. You can do this in two different ways: - Via [Composio Connect](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code) - Direct and easiest approach - Via [Composio SDK](https://docs.composio.dev/docs?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_sdk) - Programmatic approach with more control ## Also integrate Replicate with - [ChatGPT](https://composio.dev/toolkits/replicate/framework/chatgpt) - [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 Cowork](https://composio.dev/toolkits/replicate/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/replicate/framework/codex) - [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) - [CLI](https://composio.dev/toolkits/replicate/framework/cli) - [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) ## TL;DR - Only one MCP URL to connect multiple apps with Claude Code with zero auth hassles. - Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Handling Large tool responses out of LLM context to minimize context rot. - Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need. ## Connect Replicate to Claude Code ### Connecting Replicate to Claude Code using Composio 1. Add the Composio MCP to Claude ```bash claude mcp add --scope user --transport http composio https://connect.composio.dev/mcp ``` ## What is Claude Code? Claude Code is Anthropic's command line developer tool that lets you use Claude directly inside your terminal. Instead of switching between your editor, browser, and chat, you can stay in your project folder and ask Claude to help you build, debug, refactor, and understand code right where you're working. Key features include: - Terminal-Native Experience: Work with Claude directly in your command line without switching contexts - MCP Support: Built-in support for Model Context Protocol servers to extend Claude's capabilities - Project Context: Claude understands your project structure and can read, write, and modify files - Interactive Development: Ask questions, debug code, and get help in real-time while coding - Multi-Platform: Works on macOS, Linux, WSL, and Windows ## 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. ## Creating MCP Server - Stand-alone vs Composio SDK The Replicate MCP server is an implementation of the Model Context Protocol that connects Claude Code (and other AI assistants like Claude and Cursor) directly to your Replicate account. It provides structured and secure access so Claude can perform Replicate operations on your behalf. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Claude Pro, Max, or API billing enabled Anthropic account - Composio API Key - A Replicate account - Basic knowledge of Python or TypeScript ### 1. Install Claude Code To install Claude Code, use one of the following methods based on your operating system: ```bash # macOS, Linux, WSL curl -fsSL https://claude.ai/install.sh | bash # Windows PowerShell irm https://claude.ai/install.ps1 | iex # Windows CMD curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd ``` ### 2. Set up Claude Code Open a terminal, go to your project folder, and start Claude Code: - Claude Code will open in your terminal - Follow the prompts to sign in with your Anthropic account - Complete the authentication flow - Once authenticated, you can start using Claude Code ```bash cd your-project-folder claude ``` ### 3. Set up environment variables Create a .env file in your project root with the following variables: - COMPOSIO_API_KEY authenticates with Composio (get it from [Composio dashboard](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=api_key&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code)) - USER_ID identifies the user for session management (use any unique identifier) ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here ``` ### 4. Install Composio library No description provided. ```python pip install composio-core python-dotenv ``` ```typescript npm install @composio/core dotenv ``` ### 5. Generate Composio MCP URL No description provided. ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["replicate"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http replicate-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['replicate'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http replicate-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ### 6. Run the script and copy the MCP URL No description provided. ```python python generate_mcp_url.py ``` ```typescript node --loader ts-node/esm generate_mcp_url.ts # or if using tsx tsx generate_mcp_url.ts ``` ### 7. Add Replicate MCP to Claude Code In your terminal, add the MCP server using the command from the previous step. The command format is: - claude mcp add registers a new MCP server with Claude Code - --transport http specifies that this is an HTTP-based MCP server - The server name (replicate-composio) is how you'll reference it - The URL points to your Composio Tool Router session - --headers includes your Composio API key for authentication After running the command, close the current Claude Code session and start a new one for the changes to take effect. ```bash claude mcp add --transport http replicate-composio "YOUR_MCP_URL_HERE" --headers "X-API-Key:YOUR_COMPOSIO_API_KEY" # Then restart Claude Code exit claude ``` ### 8. Verify the installation Check that your Replicate MCP server is properly configured. - This command lists all MCP servers registered with Claude Code - You should see your replicate-composio entry in the list - This confirms that Claude Code can now access Replicate tools If everything is wired up, you should see your replicate-composio entry listed: ```bash claude mcp list ``` ### 9. Authenticate Replicate The first time you try to use Replicate tools, you'll be prompted to authenticate. - Claude Code will detect that you need to authenticate with Replicate - It will show you an authentication link - Open the link in your browser (or copy/paste it) - Complete the Replicate authorization flow - Return to the terminal and start using Replicate through Claude Code Once authenticated, you can ask Claude Code to perform Replicate operations in natural language. For example: - "Run Stable Diffusion to generate an image" - "List all my uploaded files on Replicate" - "Get README documentation for a model" ## Complete Code ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["replicate"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http replicate-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['replicate'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http replicate-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ## Conclusion You've successfully integrated Replicate with Claude Code using Composio's MCP server. Now you can interact with Replicate directly from your terminal using natural language commands. Key features of this setup: - Terminal-native experience without switching contexts - Natural language commands for Replicate operations - Secure authentication through Composio's managed MCP - Tool Router for dynamic tool discovery and execution Next steps: - Try asking Claude Code to perform various Replicate operations - Add more toolkits to your Tool Router session for multi-app workflows - Integrate this setup into your development workflow for increased productivity You can extend this by adding more toolkits, implementing custom workflows, or building automation scripts that leverage Claude Code's capabilities. ## How to build Replicate MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/replicate/framework/chatgpt) - [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 Cowork](https://composio.dev/toolkits/replicate/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/replicate/framework/codex) - [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) - [CLI](https://composio.dev/toolkits/replicate/framework/cli) - [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) ## 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. - [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. - [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. - [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. - [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. - [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. - [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. - [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement. - [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team. - [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs. - [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code. - [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets. - [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features. ## 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 Claude Code? Yes, you can. Claude Code 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)