# How to integrate Teltel MCP with Pydantic AI ```json { "title": "How to integrate Teltel MCP with Pydantic AI", "toolkit": "Teltel", "toolkit_slug": "teltel", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/teltel/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/teltel/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:28:06.806Z" } ``` ## Introduction This guide walks you through connecting Teltel to Pydantic AI 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 Pydantic AI 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: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Teltel - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Teltel workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 agent to Teltel. It provides structured and secure access so your agent can perform Teltel operations on your behalf through a secure, permission-based interface. 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 Before starting, make sure you have: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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 the required libraries. What's happening: - composio connects your agent to external SaaS tools like Teltel - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Teltel - MCPServerStreamableHTTP connects to the Teltel MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Teltel tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Teltel composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["teltel"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Teltel endpoint - The agent uses GPT-5 to interpret user commands and perform Teltel operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent teltel_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[teltel_mcp], instructions=( "You are a Teltel assistant. Use Teltel tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Teltel API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Teltel.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Teltel composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["teltel"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent teltel_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[teltel_mcp], instructions=( "You are a Teltel assistant. Use Teltel tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Teltel.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Teltel through Composio's Tool Router. With this setup, your agent can perform real Teltel actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Teltel for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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 - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations. - [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 Pydantic AI? Yes, you can. Pydantic AI 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)