How to integrate Uploadcare MCP with Mastra AI

This guide walks you through connecting Uploadcare to Mastra AI 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 Mastra AI 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.

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Uploadcare is a file handling platform for uploading, storing, and delivering files at scale. It streamlines file management, processing, and delivery for web and mobile apps.

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Introduction

This guide walks you through connecting Uploadcare to Mastra AI 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 Mastra AI 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Uploadcare tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Uploadcare tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Uploadcare agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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.

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Uploadcare through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_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
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Uploadcare

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["uploadcare"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Uploadcare MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "uploadcare" for Uploadcare access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Uploadcare toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "uploadcare-mastra-agent",
    instructions: "You are an AI agent with Uploadcare tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

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

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        uploadcare: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Uploadcare toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["uploadcare"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      uploadcare: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "uploadcare-mastra-agent",
    instructions: "You are an AI agent with Uploadcare tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { uploadcare: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Uploadcare through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

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

Check AWS Rekognition Moderation Status

Tool to check the execution status of AWS Rekognition Moderation labels detection.

Check Remove.bg Status

Tool to check Remove.

Copy Uploadcare File to Local Storage

Tool 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 webhook

Create a new webhook subscription to receive notifications when file events occur.

Delete File Metadata Key

Tool to delete a specific metadata key from an Uploadcare file.

Batch Delete Uploadcare Files

Tool to delete multiple files from Uploadcare storage in a single request.

Delete Uploadcare Group

Tool to delete a file group.

Delete Uploadcare File

Tool to delete a single file from Uploadcare storage by UUID.

Delete Uploadcare Webhook

Permanently deletes a webhook subscription from your Uploadcare project.

Delete Uploadcare Webhook by URL

Tool to delete a webhook subscription by its target URL.

Execute ClamAV virus scan

Tool to execute ClamAV virus scan on an uploaded file.

Get AWS Rekognition Execution Status

Tool to check AWS Rekognition execution status for label detection.

Get ClamAV Scan Status

Tool 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 Info

Tool to get information about a specific file.

Get File Metadata

Tool to retrieve all metadata key-value pairs associated with an Uploadcare file.

Get File Metadata Key Value

Tool to get the value of a specific metadata key for an Uploadcare file.

Get Uploadcare Group Info

Tool to get information about a specific file group.

Get Uploadcare Project Info

Tool to get information about the current Uploadcare project.

Get Uploaded File Info

Tool to get information about an uploaded file using Uploadcare's Upload API.

Get URL Upload Status

Tool to check the status of a URL upload task.

Mirror Uploadcare Image

Tool to mirror an image horizontally via Uploadcare CDN.

List Uploadcare Files

List files in an Uploadcare project with pagination and optional filtering.

List Uploadcare Groups

Tool to list groups in the project.

List Uploadcare Webhooks

Retrieves all webhook subscriptions for the authenticated Uploadcare project.

Rotate Image

Tool to rotate an image by specified degrees counterclockwise.

Start Multipart Upload

Tool to start a multipart upload session for files larger than 100MB.

Batch Store Files

Tool to store multiple files in one request.

Store Uploadcare File

Tool to mark an Uploadcare file as permanently stored.

Store Single Uploadcare File

Tool to store a single file by UUID permanently.

Update File Metadata Key

Tool to update or set the value of a specific metadata key for a file.

Update Uploadcare webhook

Update an existing webhook subscription by its ID.

Upload File from URL

Tool to upload a file from a publicly available URL to Uploadcare.

FRAMEWORKS

How to build Uploadcare MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Uploadcare MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Uploadcare MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Uploadcare MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Uploadcare MCP with Claude Cowork

Codex logo

Codex

Use Uploadcare MCP with Codex

OpenClaw logo

OpenClaw

Use Uploadcare MCP with OpenClaw

Hermes logo

Hermes

Use Uploadcare MCP with Hermes

CLI logo

CLI

Use Uploadcare MCP with CLI

Google ADK logo

Google ADK

Use Uploadcare MCP with Google ADK

LangChain logo

LangChain

Use Uploadcare MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Uploadcare MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Uploadcare MCP with LlamaIndex

CrewAI logo

CrewAI

Use Uploadcare MCP with CrewAI

FAQ

Frequently asked questions

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.

Yes, you can. Mastra 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 Uploadcare tools.

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.

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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