# How to integrate Shorten rest MCP with LangChain

```json
{
  "title": "How to integrate Shorten rest MCP with LangChain",
  "toolkit": "Shorten rest",
  "toolkit_slug": "shorten_rest",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/shorten_rest/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/shorten_rest/framework/langchain.md",
  "updated_at": "2026-05-12T10:26:02.046Z"
}
```

## Introduction

This guide walks you through connecting Shorten rest to LangChain using the Composio tool router. By the end, you'll have a working Shorten rest agent that can shorten this long marketing campaign url, create branded short link for event signup, track click stats for your recent short link through natural language commands.
This guide will help you understand how to give your LangChain 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

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Shorten rest project to Composio
- Create a Tool Router MCP session for Shorten rest
- Initialize an MCP client and retrieve Shorten rest tools
- Build a LangChain agent that can interact with Shorten rest
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SHORTEN_REST_CREATE_ALIAS` | Create Alias | Tool to create a new alias (short URL) under a specified domain. Use when you need to shorten a URL. If no domain is specified, the alias will be attached to the default domain Short.fyi. You can override domain-level Meta Tags and Tracking Snippets by specifying them for each URL. |
| `SHORTEN_REST_DELETE_ALIAS` | Delete Alias | Tool to delete a single alias by providing alias and domain. Use when you need to remove an existing shortened URL. If no domain is provided, the API searches for the matching alias within the Short.fyi domain. |
| `SHORTEN_REST_GET_ALIASES` | Get Aliases | Tool to retrieve all URL aliases of the authenticated user. Use when you need to list existing aliases (supports pagination). |
| `SHORTEN_REST_GET_CLICKS` | Get click data for aliases | Tool to retrieve click data for shortened URLs. Use to check click analytics for your aliases. Returns a list of click records which may be empty if no clicks have occurred yet. Returned records may represent a limited window or subset of historical clicks rather than complete per-click logs. |
| `SHORTEN_REST_LIST_ALIASES_BY_DOMAIN` | List aliases by domain | Tool to retrieve all alias names associated with your account and a given domain. Results are in descending order by creation date. Use when you need to list alias names (not full details) for a specific domain with pagination support. |
| `SHORTEN_REST_UPDATE_ALIAS` | Update Alias | Tool to update an existing short URL alias by providing its alias name and domain. Use when you need to modify destinations, metatags, or snippets for an existing alias. IMPORTANT: When updating array properties (like destinations), the entire array is replaced, so you must include all existing records you want to keep. |

## Supported Triggers

None listed.

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

The Shorten rest MCP server is an implementation of the Model Context Protocol that connects your AI agent to Shorten rest. It provides structured and secure access so your agent can perform Shorten rest 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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Shorten rest tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

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
- This approach allows the agent to dynamically load and use Shorten rest tools as needed
```python
# Create Tool Router session for Shorten rest
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['shorten_rest']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['shorten_rest']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "shorten_rest-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "shorten_rest-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Shorten rest related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Shorten rest related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['shorten_rest']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "shorten_rest-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Shorten rest related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['shorten_rest']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "shorten_rest-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Shorten rest related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Shorten rest through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Shorten rest MCP Agent with another framework

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

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Shorten rest MCP?

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.

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

Yes, you can. LangChain 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.

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

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.

### 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 Shorten rest data and credentials are handled as safely as possible.

---
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