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How to integrate Shorten rest MCP with Pydantic AI

Connect Pydantic AI to Shorten rest MCP. Shorten this long marketing campaign url, create branded short link for event signup, and more using natural language, with authentication handled for you.

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Shorten.REST is a link shortening and management platform for generating branded, trackable URLs. It helps you boost engagement and analyze link performance with advanced analytics.

6 Tools

Introduction

This guide walks you through connecting Shorten rest to Pydantic AI using the Composio tool router. By the end, you'll have a working Shorten rest agent that can create and update short link aliases, list aliases by domain, track alias clicks, and delete aliases through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Shorten rest account through Composio's Shorten rest MCP server.

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

Also integrate Shorten rest with

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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 Shorten rest
  • 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 Shorten rest 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 Shorten rest MCP server, and what's possible with it?

The Shorten rest MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Shorten.REST account. It provides structured and secure access to your link management tools, so your agent can perform actions like creating short URLs, managing branded links, tracking analytics, and organizing your shortened links on your behalf.

  • Instant URL shortening: Ask your agent to quickly generate shortened links for any URL with just a command.
  • Branded link creation: Let your agent create custom, branded short URLs to match your organization's identity.
  • Analytics and click tracking: Retrieve detailed analytics on link clicks, usage trends, and engagement metrics directly through your agent.
  • Link organization and management: Have your agent list, update, or delete your shortened links to keep your link library organized and up-to-date.
  • Bulk link processing: Enable your agent to handle multiple URL shortening or management tasks in a single workflow, saving you valuable time.

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 step09 STEPS
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
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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Shorten rest
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Shorten rest
  • MCPServerStreamableHTTP connects to the Shorten rest MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Shorten rest
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["shorten_rest"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Shorten rest 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
shorten_rest_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[shorten_rest_mcp],
    instructions=(
        "You are a Shorten rest assistant. Use Shorten rest tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Shorten rest endpoint
  • The agent uses GPT-5 to interpret user commands and perform Shorten rest operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Shorten rest.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Shorten rest API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Shorten rest and Pydantic AI:

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 Shorten rest
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["shorten_rest"],
    )
    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
    shorten_rest_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[shorten_rest_mcp],
        instructions=(
            "You are a Shorten rest assistant. Use Shorten rest 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 Shorten rest.\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 Shorten rest through Composio's Tool Router. With this setup, your agent can perform real Shorten rest 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 + Shorten rest for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Shorten rest action and event your agent gets out of the box.

Create Alias

Tool to create a new alias (short URL) under a specified domain.

Delete Alias

Tool to delete a single alias by providing alias and domain.

Get Aliases

Tool to retrieve all URL aliases of the authenticated user.

Get click data for aliases

Tool to retrieve click data for shortened URLs.

List aliases by domain

Tool to retrieve all alias names associated with your account and a given domain.

Update Alias

Tool to update an existing short URL alias by providing its alias name and domain.

FRAMEWORKS

How to build Shorten rest MCP Agent with another framework

Claude Code logo

Claude Code

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Claude Cowork

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OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use Shorten rest MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Shorten rest MCP with Grok Bot

Codex logo

Codex

Use Shorten rest MCP with Codex

OpenClaw logo

OpenClaw

Use Shorten rest MCP with OpenClaw

Hermes logo

Hermes

Use Shorten rest MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Shorten rest MCP with Atomic Agent

Google ADK logo

Google ADK

Use Shorten rest MCP with Google ADK

LangChain logo

LangChain

Use Shorten rest MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Shorten rest MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Shorten rest MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Shorten rest MCP with LlamaIndex

CrewAI logo

CrewAI

Use Shorten rest MCP with CrewAI

AutoGen logo

AutoGen

Use Shorten rest MCP with AutoGen

FAQ

Frequently asked questions

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

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 Shorten rest tools.

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

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