# How to integrate Ai ml api MCP with Claude Code

```json
{
  "title": "How to integrate Ai ml api MCP with Claude Code",
  "toolkit": "Ai ml api",
  "toolkit_slug": "ai_ml_api",
  "framework": "Claude Code",
  "framework_slug": "claude-code",
  "url": "https://composio.dev/toolkits/ai_ml_api/framework/claude-code",
  "markdown_url": "https://composio.dev/toolkits/ai_ml_api/framework/claude-code.md",
  "updated_at": "2026-05-12T10:00:39.089Z"
}
```

## Introduction

Manage your Ai ml api 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 Ai ml api with

- [OpenAI Agents SDK](https://composio.dev/toolkits/ai_ml_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/ai_ml_api/framework/claude-agents-sdk)
- [Claude Cowork](https://composio.dev/toolkits/ai_ml_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/ai_ml_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/ai_ml_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/ai_ml_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/ai_ml_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/ai_ml_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/ai_ml_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/ai_ml_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/ai_ml_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/ai_ml_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/ai_ml_api/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 Ai ml api to Claude Code

### Connecting Ai ml api 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 Ai ml api MCP server, and what's possible with it?

The Ai ml 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 Ai ml api account. It provides structured and secure access to powerful AI/ML models, so your agent can generate text, moderate user content, and automate intelligent workflows on your behalf.
- Automated content moderation: Instantly classify and filter user-generated text or images using advanced moderation models to keep your platform safe and compliant.
- Dynamic text generation: Have your agent generate chat responses, write creative copy, or complete conversations using state-of-the-art language models.
- Context-aware conversation handling: Let your agent analyze conversation history and produce coherent, relevant replies for chatbots or digital assistants.
- Seamless integration of AI workflows: Combine moderation and text generation tools to build smart, automated pipelines tailored to your product’s needs.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `AI_ML_API_CANCEL_RUN` | Cancel Run | Tool to cancel a run that is currently in progress. Use when you need to stop an assistant run before it completes. |
| `AI_ML_API_CREATE_ASSISTANT` | Create Assistant | Tool to create an AI assistant with configurable model, instructions, and tools. Use when you need to set up a new assistant that can maintain conversation context and use tools like code_interpreter or file_search. |
| `AI_ML_API_CREATE_MESSAGE` | Create Message | Tool to create a new message in a thread. Use when you need to add a user or assistant message to an existing conversation thread. |
| `AI_ML_API_CREATE_RUN` | Create Run | Tool to create a run that executes an assistant on a thread. The assistant processes messages in the thread and generates responses based on its instructions and available tools. |
| `AI_ML_API_CREATE_THREAD` | Create Thread | Tool to create a new thread for conversation with an assistant. Threads store messages and maintain context across interactions. Use when starting a new conversation or when you need a fresh context for assistant interactions. |
| `AI_ML_API_DELETE_ASSISTANT` | Delete Assistant | Tool to delete an assistant by ID. Use when you need to remove an assistant that is no longer needed. |
| `AI_ML_API_DELETE_MESSAGE` | Delete Message | Tool to delete a specific message from a thread. Use when you need to remove an unwanted or erroneous message from a conversation thread. |
| `AI_ML_API_DELETE_THREAD` | Delete Thread | Tool to delete a thread by its ID. Use when you need to remove an existing thread from the system. |
| `AI_ML_API_GET_ASSISTANT` | Get Assistant | Tool to retrieve details of a specific assistant by ID. Use when you need to fetch configuration, model settings, instructions, or available tools for an existing assistant. |
| `AI_ML_API_GET_BILLING_BALANCE` | Get Billing Balance | Tool to retrieve the current billing balance for the account. Use when you need to check available credits, balance status, or auto-debit configuration. |
| `AI_ML_API_GET_LUMA_GENERATION` | Get Luma Generation | Tool to fetch Luma AI video generation results by generation IDs. Use after creating a generation to check its status and retrieve the generated video URL when completed. |
| `AI_ML_API_GET_MESSAGE` | Get Message | Tool to retrieve information about a specific message by its ID. Use when you need to fetch details of a particular message in a thread. |
| `AI_ML_API_GET_RESPONSE` | Get Response by ID | Tool to retrieve a previously generated model response by its unique ID. Use when you need to access details of a specific response, including its output, status, and usage statistics. |
| `AI_ML_API_GET_RUN` | Get Run | Tool to retrieve a specific run by ID from a thread. Use when you need to check the status, results, or details of a previously created run. |
| `AI_ML_API_GET_RUN_STEP` | Get Run Step | Tool to retrieve a specific run step by its ID within a thread and run. Use when you need detailed information about a particular step's execution status and results. |
| `AI_ML_API_GET_THREAD` | Get Thread | Tool to retrieve information about a specific thread by ID. Use when you need to fetch thread details, metadata, or available tool resources for an existing conversation thread. |
| `AI_ML_API_LIST_ASSISTANTS` | List Assistants | Tool to list all assistants associated with the account. Use when you need to retrieve available assistants with pagination support. |
| `AI_ML_API_LIST_BATCHES` | List Batches | Tool to get the status or results of a batch processing job. Use when you need to check the progress or retrieve results of a previously submitted batch. |
| `AI_ML_API_LIST_LUMA_GENERATIONS` | List Luma AI Generations | Tool to fetch user's Luma AI video generations. Use when you need to retrieve a list of all Luma AI video generation tasks for the authenticated user. |
| `AI_ML_API_LIST_MESSAGES` | List Thread Messages | Tool to retrieve a list of messages from a specific thread. Use when you need to fetch conversation history or message content from an AI assistant thread. |
| `AI_ML_API_LIST_MODELS` | List Models | Tool to list all available AI models from the AI/ML API. Use when you need to retrieve the complete catalog of 400+ models including chat, image, video, voice, and other model types. |
| `AI_ML_API_LIST_MODELS_WITH_DETAILS` | List Models With Details | Tool to list all available AI/ML models with detailed information including pricing, features, and capabilities. Use when you need to discover available models or get comprehensive model metadata. |
| `AI_ML_API_LIST_RUNS` | List Runs | Tool to list all runs for a specific thread. Use when you need to retrieve runs with pagination support. |
| `AI_ML_API_LIST_RUN_STEPS` | List Run Steps | Tool to list the steps in a run. Use when you need to retrieve and examine the execution steps of a specific run within a thread. |
| `AI_ML_API_SUBMIT_TOOL_OUTPUTS` | Submit Tool Outputs | Tool to submit tool outputs for a run that requires action. Use when a run has status 'requires_action' and needs tool call results to continue execution. |
| `AI_ML_API_TEXT_CHAT_COMPLETION` | Text Chat Completion | Tool to generate text completions or chat responses using a specified LLM model. Use after assembling the conversation history to produce the next response. |
| `AI_ML_API_UPDATE_ASSISTANT` | Update Assistant | Tool to modify an existing assistant's properties including name, instructions, model, and tools. Use when you need to update an assistant's configuration or behavior after it has been created. |
| `AI_ML_API_UPDATE_MESSAGE` | Update Message | Tool to modify metadata for a specific message in a thread. Use when you need to update message metadata such as tags or custom fields. |
| `AI_ML_API_UPDATE_RUN` | Update Run | Tool to update a run's metadata with key-value pairs. Use when you need to attach or modify additional information for a specific run. |
| `AI_ML_API_UPDATE_THREAD` | Update Thread | Tool to update thread metadata and tool resources in the AI/ML API. Use when you need to modify existing thread properties or attach resources. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Ai ml api 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 Ai ml api account. It provides structured and secure access so Claude can perform Ai ml api 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 Ai ml api 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=["ai_ml_api"],
)

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 ai_ml_api-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: ['ai_ml_api'],
});

const composioMcpUrl = composioSession?.mcp.url;

console.log(`MCP URL: ${composioMcpUrl}`);
console.log(`\nUse this command to add to Claude Code:`);
console.log(`claude mcp add --transport http ai_ml_api-composio "${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 Ai ml api 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 (ai_ml_api-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 ai_ml_api-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 Ai ml api MCP server is properly configured.
- This command lists all MCP servers registered with Claude Code
- You should see your ai_ml_api-composio entry in the list
- This confirms that Claude Code can now access Ai ml api tools
If everything is wired up, you should see your ai_ml_api-composio entry listed:
```bash
claude mcp list
```

### 9. Authenticate Ai ml api

The first time you try to use Ai ml api tools, you'll be prompted to authenticate.
- Claude Code will detect that you need to authenticate with Ai ml api
- It will show you an authentication link
- Open the link in your browser (or copy/paste it)
- Complete the Ai ml api authorization flow
- Return to the terminal and start using Ai ml api through Claude Code
Once authenticated, you can ask Claude Code to perform Ai ml api operations in natural language. For example:
- "Check if this image contains unsafe content"
- "Summarize this customer chat conversation"
- "Generate a polite reply to this message"

## 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=["ai_ml_api"],
)

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 ai_ml_api-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: ['ai_ml_api'],
});

const composioMcpUrl = composioSession?.mcp.url;

console.log(`MCP URL: ${composioMcpUrl}`);
console.log(`\nUse this command to add to Claude Code:`);
console.log(`claude mcp add --transport http ai_ml_api-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`);
```

## Conclusion

You've successfully integrated Ai ml api with Claude Code using Composio's MCP server. Now you can interact with Ai ml api directly from your terminal using natural language commands.
Key features of this setup:
- Terminal-native experience without switching contexts
- Natural language commands for Ai ml api 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 Ai ml api 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 Ai ml api MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/ai_ml_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/ai_ml_api/framework/claude-agents-sdk)
- [Claude Cowork](https://composio.dev/toolkits/ai_ml_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/ai_ml_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/ai_ml_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/ai_ml_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/ai_ml_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/ai_ml_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/ai_ml_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/ai_ml_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/ai_ml_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/ai_ml_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/ai_ml_api/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.
- [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.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Ai ml api MCP?

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

### Can I manage the permissions and scopes for Ai ml api while using Tool Router?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)