# How to integrate Conveyor MCP with Claude Agent SDK

```json
{
  "title": "How to integrate Conveyor MCP with Claude Agent SDK",
  "toolkit": "Conveyor",
  "toolkit_slug": "conveyor",
  "framework": "Claude Agent SDK",
  "framework_slug": "claude-agents-sdk",
  "url": "https://composio.dev/toolkits/conveyor/framework/claude-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/conveyor/framework/claude-agents-sdk.md",
  "updated_at": "2026-05-06T08:07:22.514Z"
}
```

## Introduction

This guide walks you through connecting Conveyor to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Conveyor agent that can list all pending authorization requests, fetch all documents in your trust center, delete a folder by its id through natural language commands.
This guide will help you understand how to give your Claude Agent SDK agent real control over a Conveyor account through Composio's Conveyor MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Conveyor with

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

## TL;DR

Here's what you'll learn:
- Get and set up your Claude/Anthropic and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Conveyor
- Configure an AI agent that can use Conveyor as a tool
- Run a live chat session where you can ask the agent to perform Conveyor operations

## What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.
Key features include:
- Native MCP Support: Built-in support for Model Context Protocol servers
- Permission Modes: Control tool execution permissions
- Streaming Responses: Real-time response streaming for interactive applications
- Context Manager: Clean async context management for sessions

## What is the Conveyor MCP server, and what's possible with it?

The Conveyor MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Conveyor account. It provides structured and secure access to your security reviews and compliance workflows, so your agent can perform actions like retrieving documents, managing authorization requests, tracking connections, and automating security questionnaire processes on your behalf.
- Authorization request management: Fetch, list, and review details of all authorization requests, making it easy for your agent to help you track and respond to security and compliance requests in real time.
- Document and folder automation: Retrieve, organize, or delete specific documents and folders, ensuring your Trust Center stays tidy and up to date without manual effort.
- Connection insights and tracking: Access a complete list of your Conveyor connections, letting your agent monitor integrations and stay on top of your security ecosystem.
- Interaction history by document: Instantly pull all interactions related to a specific document, so your agent can summarize or audit user activity for compliance needs.
- API token validation and guidance: Use AI-driven guidance to validate API tokens and get structured support for access issues, helping keep your Conveyor integration secure and running smoothly.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONVEYOR_DELETE_DOCUMENT` | Delete a Conveyor document | Tool to delete a specific document. Use when you need to remove a document by its ID. |
| `CONVEYOR_DELETE_FOLDER` | Delete folder | Tool to delete a folder by its ID. Use when you need to remove a specific folder after confirming its ID. |
| `CONVEYOR_GENERATE_API_TOKEN` | Generate/Validate API Token Guidance | Tool to validate API token and provide guidance. Conveyor does not support API-based token creation; tokens must be created in the Conveyor UI. This action performs a real API call (using the provided metadata) to validate the existing API token and returns structured guidance. |
| `CONVEYOR_GET_AUTHORIZATION_REQUEST` | Get Authorization Request | Tool to fetch details of a specific authorization request. Use when you need to retrieve metadata by authorization_request_id. |
| `CONVEYOR_GET_AUTHORIZATION_REQUESTS` | Get Authorization Requests | Tool to fetch authorization requests. Use when you need to list authorization requests, optionally filtered by status. |
| `CONVEYOR_GET_AUTHORIZATIONS` | Get all authorization requests | Tool to retrieve all authorization requests. Use when you need to list all authorizations; optionally filter by status. Use after authenticating with a valid API token. |
| `CONVEYOR_GET_CONNECTIONS` | Get all Conveyor connections | Tool to retrieve all connections. Use when you need to fetch the complete list of your Conveyor connections. Use after authenticating with a valid API key. |
| `CONVEYOR_GET_DOCUMENTS` | Get all Conveyor documents | Tool to retrieve all documents. Use after authenticating with a valid API key. |
| `CONVEYOR_GET_FOLDERS` | Get all Conveyor folders | Tool to retrieve all folders. Use after authenticating with a valid API key to fetch the complete list of your Conveyor folders. |
| `CONVEYOR_GET_INTERACTIONS_BY_DOCUMENT_ID` | Get interactions by document ID | Tool to fetch interactions associated with a specific document. Use when you need to list all interactions for a given document after validating its existence. |
| `CONVEYOR_GET_KNOWLEDGE_BASE_QUESTIONS` | Get Knowledge Base Questions | Tool to retrieve knowledge base questions. Use when you need to fetch all questions from the Conveyor knowledge base. |
| `CONVEYOR_GET_PRODUCT_LINES` | Get product lines | Tool to fetch all product lines. Use when you need to retrieve product lines after confirming API key validity. |
| `CONVEYOR_PATCH_AUTHORIZATION` | Patch authorization | Tool to update or revoke an existing authorization. Use when managing authorization access groups or revoking access. |
| `CONVEYOR_PATCH_DOCUMENT` | Patch Conveyor document | Tool to update document attributes. Use when you need to modify fields of an existing document by its ID. |
| `CONVEYOR_POST_AUTHORIZATION` | Create new authorization | Tool to create a new authorization. Use when you need to grant access by email or from a prior authorization request. |
| `CONVEYOR_POST_DOCUMENT` | Upload new document | Tool to upload a new document. Use when you have a local file (<=100MB) to send to Conveyor. |
| `CONVEYOR_POST_FOLDER` | Create new folder | Tool to create a new folder in Conveyor Exchange. Use when you need to organize items into folders programmatically after obtaining an API key. |
| `CONVEYOR_POST_SINGLE_QUESTION` | Submit single question | Tool to submit a single question. Use when you need an immediate AI-generated answer for a specific product line question. |

## Supported Triggers

None listed.

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

The Conveyor MCP server is an implementation of the Model Context Protocol that connects your AI agent to Conveyor. It provides structured and secure access so your agent can perform Conveyor operations on your behalf through a secure, permission-based interface.
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:
- Composio API Key and Claude/Anthropic API Key
- Primary know-how of Claude Agents SDK
- A Conveyor account
- Some knowledge of Python

### 1. Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
- Go to the [Anthropic Console](https://console.anthropic.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-anthropic claude-agent-sdk python-dotenv
```

```typescript
npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID identifies the user for session management
- ANTHROPIC_API_KEY authenticates with Anthropic/Claude
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
```

### 4. Import dependencies

No description provided.
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
```

### 5. Create a Composio instance and Tool Router session

No description provided.
```python
async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Conveyor
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["conveyor"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
```

```typescript
async function chat() {
  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 composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Conveyor
  const session = await composio.create(USER_ID, {
    toolkits: ['conveyor'],
  });
  const mcpUrl = session?.mcp.url;
```

### 6. Configure Claude Agent with MCP

No description provided.
```python
# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Conveyor tools via Composio.",
    max_turns=10
)
```

```typescript
const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Conveyor tools via Composio.',
  maxTurns: 10,
};
```

### 7. Create client and start chat loop

No description provided.
```python
# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

    # Main chat loop
    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit"}:
            print("Goodbye!")
            break

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
```

```typescript
const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
```

### 8. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Complete Code

```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Conveyor
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["conveyor"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Conveyor tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

        # Main chat loop
        while True:
            user_input = input("You: ").strip()
            if user_input.lower() in {"exit", "quit"}:
                print("Goodbye!")
                break

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  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 composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['conveyor']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Conveyor tools via Composio.',
    maxTurns: 10,
  };

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
```

## Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Conveyor through Composio's Tool Router.
Key features:
- Native MCP support through Claude's agent framework
- Streaming responses for real-time interaction
- Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Conveyor MCP Agent with another framework

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

## Related Toolkits

- [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations.
- [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code.
- [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications.
- [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way.
- [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease.
- [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration.
- [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease.
- [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease.
- [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services.
- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
- [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses.
- [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale.
- [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals.
- [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps.
- [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.
- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
- [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams.
- [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Conveyor MCP?

With a standalone Conveyor MCP server, the agents and LLMs can only access a fixed set of Conveyor tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Conveyor and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Claude Agent SDK?

Yes, you can. Claude Agent SDK 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 Conveyor tools.

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

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

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