# How to integrate Dripcel MCP with Autogen

```json
{
  "title": "How to integrate Dripcel MCP with Autogen",
  "toolkit": "Dripcel",
  "toolkit_slug": "dripcel",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/dripcel/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/dripcel/framework/autogen.md",
  "updated_at": "2026-05-12T10:09:47.790Z"
}
```

## Introduction

This guide walks you through connecting Dripcel to AutoGen using the Composio tool router. By the end, you'll have a working Dripcel agent that can send sms promotion to new signups, check current dripcel credit balance, list replies to last week's campaigns through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Dripcel account through Composio's Dripcel MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dripcel with

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

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

The Dripcel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dripcel account. It provides structured and secure access to your SMS marketing campaigns, contacts, and analytics, so your agent can perform actions like sending messages, managing contacts, retrieving campaign results, and optimizing compliance checks on your behalf.
- Automated SMS sending and scheduling: Easily instruct your agent to send targeted SMS messages to customers or schedule campaign deliveries for maximum impact.
- Contact and tag management: Have your agent add tags to contacts, create new contacts on the fly, or delete outdated ones to keep your audience list clean and organized.
- Campaign and delivery analytics: Let your agent fetch real-time campaign lists, delivery statuses, and sales data to keep you informed and support data-driven decisions.
- Reply and compliance monitoring: Direct your agent to search for message replies using flexible filters or check your contact list against compliance rules before launching campaigns.
- Credit balance and resources tracking: Ask your agent to check your current credit balance before sending messages or running large campaigns, ensuring uninterrupted operations.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DRIPCEL_CREATE_CONTACTS` | Create Contacts in Bulk | Tool to upload a list of new contacts to Dripcel in bulk. Only creates new contacts (does not update existing ones). Use when you need to add multiple contacts to your Dripcel account at once. Maximum 100,000 contacts per request. |
| `DRIPCEL_DELETE_CONTACT` | Delete Contact | Tool to delete a contact by their cell number. Use when you need to remove a contact from Dripcel after confirming the MSISDN. |
| `DRIPCEL_DELETE_TAG` | Delete Tag | Tool to delete a tag by its ID. Use when you need to remove a tag from Dripcel. Warning: This will also remove the tag from all contacts and campaigns that have it. |
| `DRIPCEL_GET_BALANCE` | Get current credit balance | Retrieves the current credit balance for your Dripcel organization account. This action requires no input parameters and returns the available credit balance as a numeric value. Use this to check your account balance before performing credit-consuming operations like sending SMS messages. The balance is returned in your account's default currency (not explicitly specified in the response). |
| `DRIPCEL_DRIPCEL_GET_CAMPAIGNS` | Get Dripcel Campaigns | Retrieves a list of campaigns from Dripcel. Supports optional pagination (page, pageSize) and filtering by campaign status. Returns campaign details including ID, name, status, and timestamps. |
| `DRIPCEL_GET_CONTACT` | Get contact by cell number | Tool to retrieve a single contact by their cell number (MSISDN). Use when you need to view details of a specific contact including their name, email, tags, and other metadata. |
| `DRIPCEL_GET_DELIVERIES` | Get Deliveries | Tool to retrieve SMS/email delivery records from Dripcel. Returns a list of message deliveries filtered by recipient phone number (cell) or send operation ID (customerId). Useful for tracking message delivery status, checking delivery history for a specific contact, or auditing a particular send operation. |
| `DRIPCEL_GET_EMAIL_TEMPLATES` | Get email templates | Retrieves all email templates from your Dripcel account. Returns a list of templates with their IDs, names, subjects, and content. Use this action when you need to: - View all available email templates in your account - Get template IDs for use in email sending operations - Check template content before selecting one for a campaign - List templates to verify template creation or updates Note: According to API documentation, this endpoint returns all templates without documented support for pagination or filtering. |
| `DRIPCEL_GET_SALES` | Get sales | Tool to retrieve a list of all sales. Use when you need comprehensive sales data for reporting or analytics. |
| `DRIPCEL_LIST_TAGS` | List all tags | Tool to retrieve all tags in your Dripcel organization. Use when you need to view available tags, get tag IDs for adding to contacts, or verify tag existence before operations. |
| `DRIPCEL_OPT_OUT_CONTACT` | Opt out contact from campaigns | Tool to opt out a contact from multiple campaigns at once. Use when you need to remove a contact from campaign messaging. More robust than single campaign opt-out, allowing batch operations or opting out from all campaigns at once. |
| `DRIPCEL_POST_COMPLIANCE_SEND` | Check SMS Compliance | Check if phone numbers are allowed to receive SMS messages based on opt-out status and campaign targeting rules. Returns whether each number can be sent to, helping ensure compliance before sending messages. Costs 0.14 credits per phone number checked. |
| `DRIPCEL_POST_REPLIES_SEARCH` | Search replies based on filters | Search for SMS/message replies with flexible filtering by ID, campaign, phone number, reply type, message content, or date range. Returns matching replies with metadata. All filters are optional and can be combined for precise queries. |
| `DRIPCEL_PUT_CONTACT_TAG_ADD` | Add tags to a contact | Add one or more tags to a contact identified by phone number. Use this tool to organize contacts by assigning tags for segmentation and targeting. Tags must exist in the system before being added - use GET /tags to retrieve valid tag IDs. Provide either tag_ids (recommended) or tag names. Set create_missing_contact=true to automatically create the contact if they don't exist in your Dripcel account. Response includes matchedCount (contacts found) and modifiedCount (contacts updated). |
| `DRIPCEL_SEARCH_SEND_LOGS` | Search send logs | Search for SMS send logs with flexible filtering by ID, phone number, campaign, delivery, message content (regex), or date range. Supports MongoDB-style queries with projection and pagination. All filters are optional and can be combined. |
| `DRIPCEL_SEND_BULK_EMAIL` | Send Bulk Email | Tool to send bulk emails to multiple recipients using a template. Use when you need to send the same email content to many contacts at once. |
| `DRIPCEL_SEND_SMS` | Send SMS | Tool to send a single SMS to a contact. Use when you need to deliver a targeted message immediately or schedule it for later. |
| `DRIPCEL_UPSERT_CONTACTS` | Upsert Contacts | Tool to upload contacts in bulk, creating new contacts or updating existing ones. Limit: 20,000 contacts per request. Use when you need to import or sync a list of contacts to Dripcel. Invalid contacts will be reported but won't block the operation. |

## Supported Triggers

None listed.

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

The Dripcel MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Dripcel. Instead of manually wiring Dripcel APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Dripcel account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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).
- 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Dripcel via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

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 Dripcel connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Dripcel tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```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 Dripcel session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["dripcel"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

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
```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")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Dripcel tools from the workbench
```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 Dripcel assistant agent with MCP tools
    agent = AssistantAgent(
        name="dripcel_assistant",
        description="An AI assistant that helps with Dripcel operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Dripcel 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
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Dripcel 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")
```

## Complete Code

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

## How to build Dripcel MCP Agent with another framework

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

## Related Toolkits

- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## Frequently Asked Questions

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

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

### Can I use Tool Router MCP with Autogen?

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 Dripcel tools.

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

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

---
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