How to integrate DEV Community MCP with Autogen

This guide walks you through connecting DEV Community to AutoGen using the Composio tool router. By the end, you'll have a working DEV Community agent that can list your published dev articles, draft a tutorial post about docker, find trending javascript posts on dev through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a DEV Community account through Composio's DEV Community MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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DEV Community (dev.to) is a social publishing platform for software developers. Use it to share technical articles, grow a developer audience, and join community discussions.

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Introduction

This guide walks you through connecting DEV Community to AutoGen using the Composio tool router. By the end, you'll have a working DEV Community agent that can list your published dev articles, draft a tutorial post about docker, find trending javascript posts on dev through natural language commands.

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

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

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

The DEV Community MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your DEV Community account. It provides structured and secure access so your agent can perform DEV Community operations on your behalf.

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

Supported Tools

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

Create Article

Create a new article on DEV Community.

Get Article By ID

Returns a single published article by its ID, including full body content.

Get Article By Path

Returns a single published article by username and slug path.

Get Comment by ID

Returns a single comment and its descendants (replies) by comment ID.

Get Current User

Tool to get the currently authenticated user's profile information.

Get Listing

Returns a single classified listing by its ID.

Get Organization

Returns a single organization by its username.

Get Profile Image

Returns the profile image URL for a user or organization by username.

Get user

Tool to get a single user by their ID or username.

List Articles

Returns a list of published articles, optionally filtered by tags, username, state, or top articles.

List Comments

Tool to list comments for a specified article or podcast episode on DEV Community.

List Followed Tags

Returns a list of tags followed by the authenticated user.

List Followers

Tool to retrieve a list of users who follow the authenticated user.

List latest DEV Community articles

Tool to retrieve a list of published articles sorted by descending publish date.

List Listings

Returns a list of classified listings for jobs, mentors, products, etc.

List Listings By Category

Returns a list of classified listings filtered by category.

List Organization Articles

Tool to list articles published by a specific organization on DEV.

List organization users on DEV.to

Tool to list users belonging to a specified organization on DEV.

List podcast episodes on DEV.to

Tool to retrieve a list of podcast episodes from DEV.

List DEVTO Reading List

Returns the articles in the authenticated user's reading list.

List Tags

Returns a list of tags with their names, background colors, and text colors.

List User All Articles

Tool to list all articles (both published and unpublished) for the authenticated user.

List User Articles

Tool to list published articles for the authenticated user.

List user's published articles

Returns a list of the authenticated user's published articles only.

List user's unpublished articles

Returns a list of the authenticated user's unpublished (draft) articles.

List Videos

Tool to retrieve a list of articles that contain videos.

Update Article

Update an existing article on DEV Community.

Update Listing

Updates an existing classified listing on DEV Community.

FRAMEWORKS

How to build DEV Community MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use DEV Community MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use DEV Community MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use DEV Community MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use DEV Community MCP with Claude Cowork

Codex logo

Codex

Use DEV Community MCP with Codex

OpenClaw logo

OpenClaw

Use DEV Community MCP with OpenClaw

Hermes logo

Hermes

Use DEV Community MCP with Hermes

CLI logo

CLI

Use DEV Community MCP with CLI

Google ADK logo

Google ADK

Use DEV Community MCP with Google ADK

LangChain logo

LangChain

Use DEV Community MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use DEV Community MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use DEV Community MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use DEV Community MCP with LlamaIndex

CrewAI logo

CrewAI

Use DEV Community MCP with CrewAI

FAQ

Frequently asked questions

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

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

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