How to integrate Uploadcare MCP with LangChain

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Introduction

This guide walks you through connecting Uploadcare to LangChain using the Composio tool router. By the end, you'll have a working Uploadcare agent that can list all uploaded files from last week, rotate image file by 90 degrees clockwise, get direct download link for specific file through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Uploadcare account through Composio's Uploadcare MCP server.

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

Also integrate Uploadcare with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Uploadcare project to Composio
  • Create a Tool Router MCP session for Uploadcare
  • Initialize an MCP client and retrieve Uploadcare tools
  • Build a LangChain agent that can interact with Uploadcare
  • 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 Uploadcare MCP server, and what's possible with it?

The Uploadcare MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Uploadcare account. It provides structured and secure access to your file storage, processing, and delivery pipeline, so your agent can perform actions like listing files, retrieving file info, managing webhooks, rotating images, and handling file metadata on your behalf.

  • Comprehensive file listing and retrieval: Ask your agent to list all files stored in your Uploadcare project, filter by criteria, or fetch detailed metadata for any file.
  • Direct file download and sharing: Effortlessly generate secure, temporary download links for your files so you can share them or integrate with other services.
  • Automated image processing: Let your agent rotate images by 90, 180, or 270 degrees, making quick edits or transformations without manual intervention.
  • Webhook management for event automation: Easily create, list, or delete webhooks so your agent can subscribe to file events and enable real-time notifications or integrations.
  • Metadata and group management: Enable your agent to update or delete file metadata and organize files into groups for streamlined file handling and workflows.

Supported Tools & Triggers

Tools
Check AWS Rekognition Moderation StatusTool to check the execution status of AWS Rekognition Moderation labels detection.
Check Remove.bg StatusTool to check Remove.
Copy Uploadcare File to Local StorageTool to copy a file to local storage within the same Uploadcare project.
Create File Group (Upload API)Tool to create a file group from already uploaded files using Uploadcare's Upload API.
Create Uploadcare webhookCreate a new webhook subscription to receive notifications when file events occur.
Delete File Metadata KeyTool to delete a specific metadata key from an Uploadcare file.
Batch Delete Uploadcare FilesTool to delete multiple files from Uploadcare storage in a single request.
Delete Uploadcare GroupTool to delete a file group.
Delete Uploadcare FileTool to delete a single file from Uploadcare storage by UUID.
Delete Uploadcare WebhookPermanently deletes a webhook subscription from your Uploadcare project.
Delete Uploadcare Webhook by URLTool to delete a webhook subscription by its target URL.
Execute ClamAV virus scanTool to execute ClamAV virus scan on an uploaded file.
Get AWS Rekognition Execution StatusTool to check AWS Rekognition execution status for label detection.
Get ClamAV Scan StatusTool to check the execution status of a ClamAV virus scan.
Get File Group Info (Upload API)Tool to get information about a file group from the Upload API.
Get Uploadcare File InfoTool to get information about a specific file.
Get File MetadataTool to retrieve all metadata key-value pairs associated with an Uploadcare file.
Get File Metadata Key ValueTool to get the value of a specific metadata key for an Uploadcare file.
Get Uploadcare Group InfoTool to get information about a specific file group.
Get Uploadcare Project InfoTool to get information about the current Uploadcare project.
Get Uploaded File InfoTool to get information about an uploaded file using Uploadcare's Upload API.
Get URL Upload StatusTool to check the status of a URL upload task.
Mirror Uploadcare ImageTool to mirror an image horizontally via Uploadcare CDN.
List Uploadcare FilesList files in an Uploadcare project with pagination and optional filtering.
List Uploadcare GroupsTool to list groups in the project.
List Uploadcare WebhooksRetrieves all webhook subscriptions for the authenticated Uploadcare project.
Rotate ImageTool to rotate an image by specified degrees counterclockwise.
Start Multipart UploadTool to start a multipart upload session for files larger than 100MB.
Batch Store FilesTool to store multiple files in one request.
Store Uploadcare FileTool to mark an Uploadcare file as permanently stored.
Store Single Uploadcare FileTool to store a single file by UUID permanently.
Update File Metadata KeyTool to update or set the value of a specific metadata key for a file.
Update Uploadcare webhookUpdate an existing webhook subscription by its ID.
Upload File from URLTool to upload a file from a publicly available URL to Uploadcare.

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

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming

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.

Install dependencies

pip install composio-langchain langchain-mcp-adapters langchain python-dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • composio-langchain provides Composio integration for LangChain
  • langchain-mcp-adapters enables MCP client connections
  • langchain is the core agent framework
  • python-dotenv loads environment variables

Set up environment variables

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

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

Import dependencies

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()
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Uploadcare functionality through MCP

Initialize Composio client

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")
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 Uploadcare tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Uploadcare
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['uploadcare']
)

url = session.mcp.url
What's happening:
  • We're creating a Tool Router session that gives your agent access to Uploadcare 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 Uploadcare tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "uploadcare-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)
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Uploadcare MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • get_tools() retrieves all available Uploadcare tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Uploadcare 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")
What's happening:
  • We initialize an empty conversation_history list to maintain context across interactions
  • A while loop continuously accepts user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the ainvoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • We call the main() function using asyncio.run() to start the application

Complete Code

Here's the complete code to get you started with Uploadcare and LangChain:

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=['uploadcare']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "uploadcare-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 Uploadcare 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())

Conclusion

You've successfully built a LangChain agent that can interact with Uploadcare 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.

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FAQ

What are the differences in Tool Router MCP and Uploadcare MCP?

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

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

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

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