How to integrate Rkvst MCP with Autogen

This guide walks you through connecting Rkvst to AutoGen 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 AutoGen 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.

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Rkvst is an evidence management platform delivering reliable chain of custody for supply chain data. It ensures data authenticity, transparency, and trust across your digital records.

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Introduction

This guide walks you through connecting Rkvst to AutoGen 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 AutoGen 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Rkvst
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Rkvst tools
  • Run a live chat loop where you ask the agent to perform Rkvst operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Rkvst account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Rkvst via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Rkvst connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rkvst session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rkvst"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Rkvst tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Rkvst assistant agent with MCP tools
    agent = AssistantAgent(
        name="rkvst_assistant",
        description="An AI assistant that helps with Rkvst operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Rkvst tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Rkvst related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Rkvst tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Rkvst and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Rkvst session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["rkvst"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Rkvst assistant agent with MCP tools
        agent = AssistantAgent(
            name="rkvst_assistant",
            description="An AI assistant that helps with Rkvst operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Rkvst related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Rkvst through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Rkvst, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Rkvst action and event your agent gets out of the box.

Download Event Attachment

Tool to download an attachment from a specified Event on an Asset.

Get App Registration

Tool to retrieve details for a given App Registration ID.

Get Asset

Tool to retrieve details for a given Asset.

Get Blob

Tool to retrieve details of a Blob by ID.

Get Event

Tool to retrieve details of a specified Event.

Get IAM Subject

Tool to retrieve IAM subject details.

Get Member

Tool to retrieve details for a given Member ID.

Get Public Asset

Tool to retrieve details for a public asset.

Get Public Asset Event

Tool to retrieve a specific public asset event.

Get Tenancy

Tool to retrieve details for a specific tenancy.

List App Registrations

Tool to list all App Registrations.

List Asset Events

Tool to list events for a specified asset.

List Assets

Tool to list all Assets with optional pagination and filters.

List IAM Subjects

Tool to list IAM subjects.

List Members

Tool to list all tenant Members.

List Public Asset Events

Tool to list events for a specific public asset.

List Public Assets

Tool to list all Public Assets.

List Tenancies

Tool to list all tenancies.

Promote Member

Tool to promote a tenant member to OWNER role.

Retrieve asset attachment metadata

Tool to retrieve metadata for an attachment on a specified Asset.

Retrieve Caps

Tool to retrieve resource limit quotas for a specified service.

Retrieve Event Attachment Metadata

Tool to retrieve metadata for an attachment on a specified Event.

Search Events

Tool to search events matching filter criteria with pagination.

Update App Registration

Tool to update an application's display name or custom claims.

FRAMEWORKS

How to build Rkvst MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Rkvst MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Rkvst MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Rkvst MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Rkvst MCP with Claude Cowork

Codex logo

Codex

Use Rkvst MCP with Codex

OpenClaw logo

OpenClaw

Use Rkvst MCP with OpenClaw

Hermes logo

Hermes

Use Rkvst MCP with Hermes

CLI logo

CLI

Use Rkvst MCP with CLI

Google ADK logo

Google ADK

Use Rkvst MCP with Google ADK

LangChain logo

LangChain

Use Rkvst MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Rkvst MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Rkvst MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Rkvst MCP with LlamaIndex

CrewAI logo

CrewAI

Use Rkvst MCP with CrewAI

FAQ

Frequently asked questions

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.

Yes, you can. Autogen 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.

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.

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.

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