# How to integrate Rkvst MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Rkvst MCP with OpenAI Agents SDK",
  "toolkit": "Rkvst",
  "toolkit_slug": "rkvst",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/rkvst/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/rkvst/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:24:16.606Z"
}
```

## Introduction

This guide walks you through connecting Rkvst to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Rkvst agent that can download attachment from latest asset event, show details of asset by uuid, retrieve metadata for a specific event through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Rkvst account through Composio's Rkvst MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Rkvst with

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

## TL;DR

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

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

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

The Rkvst MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Rkvst account. It provides structured and secure access to your supply chain evidence data, so your agent can perform actions like retrieving asset details, verifying event authenticity, downloading attachments, and managing chain of custody records on your behalf.
- Asset and event retrieval: Instantly fetch detailed information about assets, events, or public assets by their unique identifiers, including historical state data.
- Chain of custody verification: Have your agent review event metadata and associated trails to ensure data authenticity and transparency throughout your supply chain.
- Download evidence attachments: Let your agent securely download raw binary attachments associated with supply chain events for auditing or record-keeping.
- App and member inspection: Effortlessly pull configuration and credential details for app registrations or retrieve member and IAM subject information to monitor access and permissions.
- Tenancy and blob management: Retrieve tenancy details or access specific data blobs related to your supply chain records for better oversight and control.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `RKVST_DOWNLOAD_EVENT_ATTACHMENT` | Download Event Attachment | Tool to download an attachment from a specified Event on an Asset. Use when you have asset_uuid, event_uuid, and attachment uuid, and want the raw binary content. |
| `RKVST_GET_APP_REGISTRATION` | Get App Registration | Tool to retrieve details for a given App Registration ID. Use after obtaining the application's UUID to inspect its configuration and credentials. |
| `RKVST_GET_ASSET` | Get Asset | Tool to retrieve details for a given Asset. Use after you have its UUID; set `at_time` to get historical state. |
| `RKVST_GET_BLOB` | Get Blob | Tool to retrieve details of a Blob by ID. Use after confirming the Blob ID. |
| `RKVST_GET_EVENT` | Get Event | Tool to retrieve details of a specified Event. Use when you need full metadata, attributes, and associated trails of an existing event in DataTrails. |
| `RKVST_GET_IAM_SUBJECT` | Get IAM Subject | Tool to retrieve IAM subject details. Use when you need to fetch details for a specific IAM subject by its ID. |
| `RKVST_GET_MEMBER` | Get Member | Tool to retrieve details for a given Member ID. Use after obtaining a valid member UUID. |
| `RKVST_GET_PUBLIC_ASSET` | Get Public Asset | Tool to retrieve details for a public asset. Use when you have a public asset UUID. |
| `RKVST_GET_PUBLIC_ASSET_EVENT` | Get Public Asset Event | Tool to retrieve a specific public asset event. Use when you have public asset and event UUIDs. |
| `RKVST_GET_TENANCY` | Get Tenancy | Tool to retrieve details for a specific tenancy. Use after you have a tenancy ID. |
| `RKVST_LIST_APP_REGISTRATIONS` | List App Registrations | Tool to list all App Registrations. Use after acquiring a valid auth token to retrieve the applications registered under the tenant. |
| `RKVST_LIST_ASSET_EVENTS` | List Asset Events | Tool to list events for a specified asset. Use after confirming you have the asset UUID. |
| `RKVST_LIST_ASSETS` | List Assets | Tool to list all Assets with optional pagination and filters. Use when you need to retrieve asset metadata in batches via page_size and next_page_token. |
| `RKVST_LIST_IAM_SUBJECTS` | List IAM Subjects | Tool to list IAM subjects. Use when you need to retrieve provider-managed subjects, optionally filtering by display name. Use after authenticating the tenant. |
| `RKVST_LIST_MEMBERS` | List Members | Tool to list all tenant Members. Use when you need an overview of all users in your tenant. |
| `RKVST_LIST_PUBLIC_ASSET_EVENTS` | List Public Asset Events | Tool to list events for a specific public asset. Use when you need to retrieve the event history of a public asset after confirming its public availability. |
| `RKVST_LIST_PUBLIC_ASSETS` | List Public Assets | Tool to list all Public Assets. Use when you need to retrieve all assets made public. |
| `RKVST_LIST_TENANCIES` | List Tenancies | Tool to list all tenancies. Use after authenticating to retrieve the tenancy records available to the current tenant. |
| `RKVST_PROMOTE_MEMBER` | Promote Member | Tool to promote a tenant member to OWNER role. Use when you need to elevate permissions after verifying the member identity. |
| `RKVST_RETRIEVE_ASSET_ATTACHMENT_METADATA` | Retrieve asset attachment metadata | Tool to retrieve metadata for an attachment on a specified Asset. Use after obtaining asset and attachment UUIDs. |
| `RKVST_RETRIEVE_CAPS` | Retrieve Caps | Tool to retrieve resource limit quotas for a specified service. Use when checking quota availability before provisioning resources. |
| `RKVST_RETRIEVE_EVENT_ATTACHMENT_METADATA` | Retrieve Event Attachment Metadata | Tool to retrieve metadata for an attachment on a specified Event. Use when you have asset_uuid, event_uuid, and attachment uuid and need details like size, hash, and scan status. |
| `RKVST_SEARCH_EVENTS` | Search Events | Tool to search events matching filter criteria with pagination. Use when retrieving events by OData filter and paging through large result sets. |
| `RKVST_UPDATE_APP_REGISTRATION` | Update App Registration | Tool to update an application's display name or custom claims. Use after retrieving an App Registration to apply partial updates to its configuration. |

## Supported Triggers

None listed.

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

The Rkvst MCP server is an implementation of the Model Context Protocol that connects your AI agent to Rkvst. It provides structured and secure access so your agent can perform Rkvst 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 OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Rkvst project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Rkvst.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only rkvst.
- The router checks the user's Rkvst connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Rkvst.
- This approach keeps things lightweight and lets the agent request Rkvst tools only when needed during the conversation.
```python
# Create a Rkvst Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["rkvst"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Rkvst
const session = await composio.create(userId as string, {
  toolkits: ['rkvst'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Rkvst. "
        "Help users perform Rkvst operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Rkvst. Help users perform Rkvst operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["rkvst"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Rkvst. "
        "Help users perform Rkvst operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['rkvst'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Rkvst. Help users perform Rkvst operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Rkvst MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Rkvst.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Rkvst MCP Agent with another framework

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

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents 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 Rkvst tools.

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

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

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