# How to integrate Bigml MCP with Claude Code

```json
{
  "title": "How to integrate Bigml MCP with Claude Code",
  "toolkit": "Bigml",
  "toolkit_slug": "bigml",
  "framework": "Claude Code",
  "framework_slug": "claude-code",
  "url": "https://composio.dev/toolkits/bigml/framework/claude-code",
  "markdown_url": "https://composio.dev/toolkits/bigml/framework/claude-code.md",
  "updated_at": "2026-05-12T10:03:04.870Z"
}
```

## Introduction

Manage your Bigml 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 Bigml with

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

### Connecting Bigml 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 Bigml MCP server, and what's possible with it?

The Bigml MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bigml account. It provides structured and secure access to your machine learning environment, so your agent can perform actions like creating projects, managing data connectors, inspecting resources, and analyzing correlations on your behalf.
- Project creation and organization: Easily direct your agent to create new projects to group related BigML resources for streamlined workflows.
- External data connector management: Have your agent set up and retrieve external connectors to bring in data from external sources and databases.
- Resource inspection and retrieval: Let your agent fetch detailed metadata about projects or connectors, helping you monitor and audit your ML assets.
- Automated project cleanup: Instruct your agent to delete obsolete or unused projects, ensuring your workspace stays organized and efficient.
- Correlation browsing and analysis: Ask your agent to list and paginate correlation resources, uncovering relationships among your datasets for deeper insights.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BIGML_CREATE_EXTERNAL_CONNECTOR` | Create External Connector | Tool to create a new external connector for data sources. Use after configuring external databases or search indices. |
| `BIGML_CREATE_PROJECT` | Create Project | Tool to create a new project. Use when you need to group related BigML resources into a project. |
| `BIGML_DELETE_PROJECT` | Delete Project | Tool to delete an existing project. Use when you need to permanently remove a project resource after confirming it is not in use by other resources. |
| `BIGML_GET_CONFIGURATION` | Get Configuration | Retrieves complete details of a BigML configuration by its ID to get stored parameters. Configuration resources in BigML store parameters that can be reused across different resources. Use this action to inspect stored configuration parameters, verify configuration settings, check processing status, or retrieve metadata after creating a configuration. |
| `BIGML_GET_EXTERNAL_CONNECTOR` | Get External Connector | Retrieves complete details of a BigML external connector by its ID. External connectors enable BigML to import data from external databases (PostgreSQL, MySQL, SQL Server) or search engines (Elasticsearch). Use this action to inspect connection parameters, verify connector configuration, check processing status, or retrieve metadata after creating an external connector. |
| `BIGML_GET_PROJECT` | Get Project | Tool to retrieve details of a project by ID. Use when you need to inspect project metadata before analysis. |
| `BIGML_GET_SOURCE` | Get Source | Retrieves complete details of a BigML source by its ID. Use this to get information about the raw data and its parsing configuration. |
| `BIGML_LIST_ANOMALIES` | List Anomaly Detectors | Tool to list anomaly detector resources in your account. Use when you need to browse or paginate existing anomaly detectors with support for filtering, ordering, and pagination. |
| `BIGML_LIST_ANOMALY_SCORES` | List Anomaly Scores | Tool to list anomaly score resources. Use when you need to browse or paginate existing anomaly scores for the authenticated user. |
| `BIGML_LIST_ASSOCIATIONS` | List Associations | Tool to list association resources. Use when you need to browse or paginate existing associations for the authenticated user. |
| `BIGML_LIST_ASSOCIATION_SETS` | List Association Sets | Tool to list association set resources in your account. Use when you need to browse or paginate existing association sets with support for filtering, ordering, and pagination. |
| `BIGML_LIST_BATCH_ANOMALY_SCORES` | List Batch Anomaly Scores | Tool to list batch anomaly score resources. Use when you need to browse or paginate existing batch anomaly scores for the authenticated user. |
| `BIGML_LIST_BATCH_CENTROIDS` | List Batch Centroids | Tool to list all batch centroid resources in your account with support for filtering, ordering, and pagination. Use when you need to browse or retrieve existing batch centroids for the authenticated user. |
| `BIGML_LIST_BATCH_PREDICTIONS` | List Batch Predictions | Tool to list batch prediction resources. Use when you need to browse or paginate existing batch predictions for the authenticated user. |
| `BIGML_LIST_BATCH_PROJECTIONS` | List Batch Projections | Tool to list batch projection resources with support for filtering, ordering, and pagination. Use when you need to browse or retrieve batch projections for the authenticated account. |
| `BIGML_LIST_BATCH_TOPIC_DISTRIBUTIONS` | List Batch Topic Distributions | Tool to list batch topic distribution resources. Use when you need to browse or paginate existing batch topic distributions for the authenticated user. |
| `BIGML_LIST_CENTROIDS` | List Centroids | Tool to list centroid resources. Use when you need to browse or paginate existing centroids for the authenticated user. |
| `BIGML_LIST_CLUSTERS` | List Clusters | Tool to list cluster resources with support for filtering, ordering, and pagination. Use when you need to browse or paginate existing clusters for the authenticated user. |
| `BIGML_LIST_COMPOSITES` | List Composites | Tool to list composite source resources. Use when you need to browse or paginate existing composites for the authenticated user. |
| `BIGML_LIST_CONFIGURATIONS` | List Configurations | Tool to list all configuration resources in your account. Use when you need to browse or paginate existing configurations with support for filtering, ordering, and pagination. |
| `BIGML_LIST_CORRELATIONS` | List Correlations | Tool to list correlation resources. Use when you need to browse or paginate existing correlations for the authenticated user. |
| `BIGML_LIST_DATASETS` | List Datasets | Tool to list dataset resources. Use when you need to browse or paginate existing datasets for the authenticated user. |
| `BIGML_LIST_DEEPNETS` | List Deepnets | Tool to list deep neural network resources. Use when you need to browse or paginate existing deepnets for the authenticated user. |
| `BIGML_LIST_ENSEMBLES` | List Ensembles | Tool to list ensemble resources with filtering, ordering, and pagination support. Use when you need to browse or paginate existing ensembles for the authenticated user. |
| `BIGML_LIST_EVALUATIONS` | List Evaluations | Tool to list evaluation resources. Use when you need to browse or paginate existing evaluations for the authenticated user. |
| `BIGML_LIST_EXECUTIONS` | List Executions | Tool to list execution resources. Use when you need to browse or paginate existing executions for the authenticated user. |
| `BIGML_LIST_FORECASTS` | List Forecasts | Tool to list forecast resources. Use when you need to browse or paginate existing forecasts for the authenticated user. |
| `BIGML_LIST_FUSIONS` | List Fusions | Tool to list fusion resources. Use when you need to browse or paginate existing fusions for the authenticated user. |
| `BIGML_LIST_LIBRARIES` | List Libraries | Tool to list WhizzML library resources. Use when you need to browse or paginate existing libraries for the authenticated user. |
| `BIGML_LIST_LINEAR_REGRESSIONS` | List Linear Regressions | Tool to list linear regression resources. Use when you need to browse or paginate existing linear regressions for the authenticated user. |
| `BIGML_LIST_LOGISTIC_REGRESSIONS` | List Logistic Regressions | Tool to list logistic regression resources. Use when you need to browse or paginate existing logistic regressions for the authenticated user. |
| `BIGML_LIST_MODELS` | List Models | Tool to list model resources. Use when you need to browse or paginate existing models for the authenticated user. |
| `BIGML_LIST_OPTIMLS` | List OptiMLs | Tool to list OptiML resources in your account. Use when you need to browse or paginate existing OptiML models with support for filtering, ordering, and pagination. |
| `BIGML_LIST_PCAS` | List PCAs | Tool to list PCA resources. Use when you need to browse or paginate existing PCAs for the authenticated user. |
| `BIGML_LIST_PREDICTIONS` | List Predictions | Tool to list prediction resources. Use when you need to browse or paginate existing predictions for the authenticated user. |
| `BIGML_LIST_PROJECTIONS` | List Projections | Tool to list projection resources with support for filtering, ordering, and pagination. Use when you need to browse or retrieve projections for the authenticated account. |
| `BIGML_LIST_PROJECTS` | List Projects | Tool to list all project resources in your account with support for filtering, ordering, and pagination. Use when you need to browse or paginate existing projects. |
| `BIGML_LIST_SAMPLES` | List Samples | Tool to list sample resources. Use when you need to browse or paginate existing samples for the authenticated user. |
| `BIGML_LIST_SCRIPTS` | List Scripts | Tool to list WhizzML script resources. Use when you need to browse or paginate existing scripts for the authenticated user. |
| `BIGML_LIST_SOURCES` | List Sources | Tool to list source resources in your account. Use when you need to browse or paginate existing data sources with support for filtering, ordering, and pagination. |
| `BIGML_LIST_STATISTICAL_TESTS` | List Statistical Tests | Tool to list statistical test resources. Use when you need to browse or paginate existing statistical tests for the authenticated user. |
| `BIGML_LIST_TIMESERIES` | List Time Series | Tool to list time series resources. Use when you need to browse or paginate existing time series for the authenticated user. |
| `BIGML_LIST_TOPIC_DISTRIBUTIONS` | List Topic Distributions | Tool to list topic distribution resources. Use when you need to browse or paginate existing topic distributions for the authenticated user. |
| `BIGML_LIST_TOPIC_MODELS` | List Topic Models | Tool to list topic model resources. Use when you need to browse or paginate existing topic models for the authenticated user. |
| `BIGML_UPDATE_SOURCE` | Update Source | Tool to update a source's name, description, tags, or parsing configuration. Use when you need to modify source metadata or field properties. |

## Supported Triggers

None listed.

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

The Bigml 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 Bigml account. It provides structured and secure access so Claude can perform Bigml 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 Bigml 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=["bigml"],
)

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

const composioMcpUrl = composioSession?.mcp.url;

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

### 9. Authenticate Bigml

The first time you try to use Bigml tools, you'll be prompted to authenticate.
- Claude Code will detect that you need to authenticate with Bigml
- It will show you an authentication link
- Open the link in your browser (or copy/paste it)
- Complete the Bigml authorization flow
- Return to the terminal and start using Bigml through Claude Code
Once authenticated, you can ask Claude Code to perform Bigml operations in natural language. For example:
- "Create a new BigML project for customer data"
- "List all correlations available in my account"
- "Get details for a specific BigML project"

## 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=["bigml"],
)

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

const composioMcpUrl = composioSession?.mcp.url;

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

## Conclusion

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

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

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

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

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

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