How to integrate Devolens / Cryptolens MCP with Autogen

This guide walks you through connecting Devolens / Cryptolens to AutoGen using the Composio tool router. By the end, you'll have a working Devolens / Cryptolens agent that can view license keys, list your customers, track daily usage, review api logs, and browse products through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Devolens / Cryptolens account through Composio's Devolens / Cryptolens MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Devolens provides the Cryptolens API for software licensing, license keys, products, customers, entitlements, and usage analytics. Use it to automate license lifecycle management and protect paid software without building a licensing backend.

10 Tools

Introduction

This guide walks you through connecting Devolens / Cryptolens to AutoGen using the Composio tool router. By the end, you'll have a working Devolens / Cryptolens agent that can view license keys, list your customers, track daily usage, review api logs, and browse products through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Devolens / Cryptolens account through Composio's Devolens / Cryptolens MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Devolens / Cryptolens 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 Devolens / Cryptolens
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Devolens / Cryptolens tools
  • Run a live chat loop where you ask the agent to perform Devolens / Cryptolens 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 Devolens / Cryptolens MCP server, and what's possible with it?

The Devolens / Cryptolens MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Devolens / Cryptolens account. It provides structured and secure access to your software licensing data, so your agent can inspect license keys, review products and templates, find customers and resellers, analyze daily usage, and investigate account activity on your behalf.

  • License key lookup and search: Have your agent retrieve a specific license key with its activation details, or search the keys associated with a product.
  • Product and template review: Let the agent list the products and license templates available in your Cryptolens account.
  • Customer and partner discovery: Direct your agent to find customers, registered license users, and resellers connected to your account.
  • Daily usage analysis: Instruct your agent to review daily usage totals for a product across a selected date range.
  • Activity and message investigation: Have your agent inspect account messages and review web request logs by product, license key, machine, event, or time period.

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 Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["devolens"]
    )
    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 Devolens / Cryptolens 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 Devolens / Cryptolens assistant agent with MCP tools
    agent = AssistantAgent(
        name="devolens_assistant",
        description="An AI assistant that helps with Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["devolens"]
    )
    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 Devolens / Cryptolens assistant agent with MCP tools
        agent = AssistantAgent(
            name="devolens_assistant",
            description="An AI assistant that helps with Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens 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 Devolens / Cryptolens, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Devolens / Cryptolens action and event your agent gets out of the box.

Get License Key

Retrieve one license key and optional activation metadata by its product ID and key string.

List Customers

Search or list customers visible to the connected Cryptolens account, including reseller-visible customer groups returned by the API.

List Daily Usage Aggregates

Return one page of daily Cryptolens usage aggregates, optionally filtered by product and inclusive date range.

List License Keys

List and search one page of license keys for a Cryptolens product.

List License Templates

Return the license templates available to the connected Cryptolens account.

List License Users

Return registered Cryptolens license users, optionally limited to one customer.

List Messages

Return Cryptolens account messages, optionally filtered by channel or creation time.

List Products

Return the Cryptolens products visible to the connected access token.

List Resellers

Search or list resellers visible to the connected Cryptolens account.

List Web API Logs

Inspect one page of Cryptolens Web API request logs with optional product, license-key, machine, event, and time filters.

FRAMEWORKS

How to build Devolens / Cryptolens MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

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Claude Code logo

Claude Code

Use Devolens / Cryptolens MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Devolens / Cryptolens MCP with Claude Cowork

Codex logo

Codex

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OpenClaw logo

OpenClaw

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Hermes logo

Hermes

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CLI logo

CLI

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Google ADK logo

Google ADK

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LangChain logo

LangChain

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Vercel AI SDK logo

Vercel AI SDK

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Mastra AI logo

Mastra AI

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LlamaIndex logo

LlamaIndex

Use Devolens / Cryptolens MCP with LlamaIndex

CrewAI logo

CrewAI

Use Devolens / Cryptolens MCP with CrewAI

FAQ

Frequently asked questions

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

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

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