# How to integrate Teltel MCP with Autogen

```json
{
  "title": "How to integrate Teltel MCP with Autogen",
  "toolkit": "Teltel",
  "toolkit_slug": "teltel",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/teltel/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/teltel/framework/autogen.md",
  "updated_at": "2026-05-12T10:28:06.806Z"
}
```

## Introduction

This guide walks you through connecting Teltel to AutoGen using the Composio tool router. By the end, you'll have a working Teltel agent that can retrieve all missed calls from today, list all sms messages from specific number, show teltel users added this week through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Teltel account through Composio's Teltel MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Teltel with

- [OpenAI Agents SDK](https://composio.dev/toolkits/teltel/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/teltel/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/teltel/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/teltel/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/teltel/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/teltel/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/teltel/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/teltel/framework/cli)
- [Google ADK](https://composio.dev/toolkits/teltel/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/teltel/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/teltel/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/teltel/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/teltel/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/teltel/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 Teltel
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Teltel tools
- Run a live chat loop where you ask the agent to perform Teltel 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 Teltel MCP server, and what's possible with it?

The Teltel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Teltel account. It provides structured and secure access to your telecom data, so your agent can retrieve call logs, manage SMS messages, access user records, and handle inbound SMS events automatically.
- Comprehensive call log retrieval: Quickly fetch and filter detailed lists of your recent and historical calls, including duration, status, and time for easy reporting or analysis.
- SMS message management: Effortlessly access sent and received SMS logs, filter messages by sender, recipient, status, or date, and keep your communications organized.
- User directory synchronization: Retrieve up-to-date lists of all users in your Teltel account, making it simple to manage contact center agents or team members.
- Automated inbound SMS handling: Set up your agent to receive and process incoming SMS via webhook, so you never miss an important customer message or support request.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TELTEL_CREATE_AUTODIALER_CUSTOM_STATUS` | Create Autodialer Custom Status | Tool to create a custom status for autodialer contacts. Use when you need to add a new status option that agents can use to categorize contacts in the Operator Dashboard. |
| `TELTEL_CREATE_CALL` | Create Call | Tool to create a call between two participants. Use when you need to initiate an outbound call connecting a caller to a destination number. |
| `TELTEL_CREATE_USER_STATUS` | Create User Status | Tool to create a user status in TelTel. Use when you need to add a new status option for users. |
| `TELTEL_DELETE_AUTODIALER_CUSTOM_STATUS` | Delete Autodialer Custom Status | Tool to delete an autodialer custom status by ID. Use when you need to remove a custom status from your autodialer configuration. |
| `TELTEL_DELETE_USER_STATUS` | Delete User Status | Tool to delete a user status by ID. Use when you need to remove an existing user status from TelTel. |
| `TELTEL_GET_ACCOUNT_BALANCE` | Get Account Balance | Tool to retrieve the account balance for your TelTel account. Use when you need to check available credit or account balance information. |
| `TELTEL_GET_CALL_LIST` | Get Call List | Tool to retrieve a list of calls with details (duration, time, status). Use when you need to filter and page through call records. |
| `TELTEL_GET_COUNTRY` | Get Country | Tool to retrieve country resource information by ID from TelTel. Use when you need to fetch details about a specific country for DID number provisioning. |
| `TELTEL_GET_SMS_LIST` | Get SMS List | Tool to retrieve a list of sent (outbox) or received (inbox) SMS messages from TelTel. Use when you need to filter or paginate through SMS message history. Supports filtering by date, sender, recipient, and message state. |
| `TELTEL_GET_USER_CID_GROUPS` | Get User Caller ID Groups | Tool to retrieve caller ID groups for a specific user. Use when you need to fetch the list of CID groups associated with a user account. |
| `TELTEL_GET_USERS_LIST` | Get Users List | Tool to retrieve a list of users from your TelTel account. Use when you need to page through or synchronize user records. |
| `TELTEL_LIST_AUTODIALER_ACTIONS` | List Autodialer Actions | Tool to retrieve the action history for an autodialer campaign. Use when you need to view the list of actions performed on a specific autodialer campaign. |
| `TELTEL_LIST_AUTODIALER_CONTACTS` | List Autodialer Contacts | Tool to retrieve the contact list for an autodialer campaign. Use when you need to view contacts, filter by phone number or start time, or paginate through campaign contacts. |
| `TELTEL_LIST_AUTODIALER_CUSTOM_STATUSES` | List Autodialer Custom Statuses | Tool to retrieve list of autodialer custom statuses. Use when you need to view all available custom statuses for autodialer campaigns. |
| `TELTEL_LIST_AUTO_DIALERS` | List Autodialer Campaigns | Tool to retrieve a list of autodialer campaigns from TelTel. Use when you need to view all autodialer campaigns and their details. |
| `TELTEL_LIST_AVAILABLE_COUNTRIES` | List Available Countries | Tool to get the list of countries where DID numbers are available for purchase. Use when you need to discover which countries support phone number provisioning or filter countries by pricing and features. |
| `TELTEL_LIST_COUNTRY_PRICE_GROUPS` | List Country Price Groups | Tool to retrieve phone number price groups available in a specific country. Use when you need to view pricing tiers or filter available phone number groups by country. |
| `TELTEL_LIST_DEVICES` | List Devices | Tool to retrieve a list of devices from your TelTel account. Use when you need to view all registered devices and their connection status. |
| `TELTEL_LIST_MY_NUMBERS` | List My Numbers | Tool to retrieve a list of phone numbers (DIDs) owned by the account. Use when you need to view all purchased phone numbers or filter by activation status, auto-renew settings, or SMS/voice support. |
| `TELTEL_LIST_ORDERS` | List DID Orders | Tool to retrieve a list of DID (phone number) orders from TelTel. Use when you need to check order status, view order history, or filter orders by specific criteria like status or type. |
| `TELTEL_LIST_USER_STATUSES` | List User Statuses | Tool to retrieve a list of all user statuses in TelTel. Use when you need to view available status options for users. |
| `TELTEL_LOOKUP_PHONE_NUMBER` | Lookup Phone Number | Tool to perform HLR (Home Location Register) lookup for phone numbers via TelTel API. Use when you need to verify phone number validity, check network status, or retrieve carrier information. Supports single or multiple phone numbers in one request. |
| `TELTEL_RECEIVE_INBOUND_SMS` | Receive Inbound SMS | Tool to process inbound SMS webhook data from TelTel. Use this to handle incoming SMS notifications that TelTel sends to your configured webhook URL. This action parses and validates the webhook payload, returning the SMS details in a structured format for further processing. Note: TelTel sends inbound SMS data via GET request with query parameters. Configure your webhook URL in TelTel account settings. |
| `TELTEL_SET_USER_STATUS` | Set User Status | Tool to set a user's status in TelTel. Use when you need to update a user's availability or activity status. |
| `TELTEL_UPDATE_AUTODIALER_CUSTOM_STATUS` | Update Autodialer Custom Status | Tool to update an autodialer custom status value by ID. Use when you need to rename or modify an existing custom status label. |
| `TELTEL_UPDATE_USER_STATUS` | Update User Status | Tool to update an existing user status in TelTel. Use when you need to modify the name, enabled state, or offline state of a user status. |

## Supported Triggers

None listed.

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

The Teltel MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Teltel. Instead of manually wiring Teltel 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 Teltel 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 Teltel 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 Teltel 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 Teltel 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 Teltel session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["teltel"]
    )
    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 Teltel 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 Teltel assistant agent with MCP tools
    agent = AssistantAgent(
        name="teltel_assistant",
        description="An AI assistant that helps with Teltel 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 Teltel 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 Teltel 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 Teltel session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["teltel"]
    )
    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 Teltel assistant agent with MCP tools
        agent = AssistantAgent(
            name="teltel_assistant",
            description="An AI assistant that helps with Teltel 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 Teltel 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 Teltel 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 Teltel, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Teltel MCP Agent with another framework

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

## Related Toolkits

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- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

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

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

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

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

---
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