# How to integrate Shortpixel MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Shortpixel MCP with Vercel AI SDK v6", "toolkit": "Shortpixel", "toolkit_slug": "shortpixel", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/shortpixel/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/shortpixel/framework/ai-sdk.md", "updated_at": "2026-05-12T10:26:03.962Z" } ``` ## Introduction This guide walks you through connecting Shortpixel to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Shortpixel agent that can check your remaining shortpixel credits, purge all images from site storage, monitor api key usage status through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Shortpixel account through Composio's Shortpixel MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Shortpixel with - [OpenAI Agents SDK](https://composio.dev/toolkits/shortpixel/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/shortpixel/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/shortpixel/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/shortpixel/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/shortpixel/framework/codex) - [OpenClaw](https://composio.dev/toolkits/shortpixel/framework/openclaw) - [Hermes](https://composio.dev/toolkits/shortpixel/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/shortpixel/framework/cli) - [Google ADK](https://composio.dev/toolkits/shortpixel/framework/google-adk) - [LangChain](https://composio.dev/toolkits/shortpixel/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/shortpixel/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/shortpixel/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/shortpixel/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Shortpixel integration - Using Composio's Tool Router to dynamically load and access Shortpixel tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## What is the Shortpixel MCP server, and what's possible with it? The Shortpixel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ShortPixel account. It provides structured and secure access to your image optimization tools, so your agent can perform actions like monitoring API usage, purging storage, and managing your ShortPixel resources on your behalf. - API status monitoring: Instantly check your API key status, including available image optimization credits, so you never run out unexpectedly. - Bulk storage purging: Direct your agent to purge all files stored on ShortPixel servers for a domain, making large-scale cleanups quick and hassle-free. - Account usage visibility: Let your agent retrieve up-to-date usage metrics before initiating new optimization tasks or campaigns. - Automated maintenance workflows: Schedule regular storage purges or status checks, keeping your ShortPixel account organized with minimal manual effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SHORTPIXEL_ADD_CDN_DOMAIN` | Add CDN Domain | Tool to add a new domain to the ShortPixel CDN system and associate it with your API key. Use when you need to register a domain for CDN services. If the domain already exists without a user, it will be associated with your API key. | | `SHORTPIXEL_BULK_PURGE_STORAGE` | Bulk Purge ShortPixel Storage | Tool to purge all files stored on ShortPixel storage servers for a domain. Use when you need to remove all stored files for a site in bulk. | | `SHORTPIXEL_CHECK_IMAGE_STATUS` | Check Image Status | Tool to check the optimization status of an image being processed by ShortPixel. Returns current status of queued images including URLs and size information. | | `SHORTPIXEL_CLEAN_UP_IMAGE` | Clean Up Image | Tool to remove images from the processing queue. Use when you need to optimize another image with the same URL but different contents within the next hour. | | `SHORTPIXEL_GET_ADAPTIVE_IMAGE_CDN` | Get Adaptive Image via CDN | Tool to optimize images on-the-fly via ShortPixel CDN. Transform images by URL with parameters for width, height, cropping, quality, and format conversion. Returns the optimized image directly without CDN caching. | | `SHORTPIXEL_GET_API_STATUS` | Get API Status | Tool to retrieve the current status of your API key, including available credits. Use when you need to monitor your account usage before making additional API calls. | | `SHORTPIXEL_GET_CDN_USAGE` | Get CDN Usage Statistics | Tool to retrieve detailed CDN usage statistics for a domain including traffic, API calls, monthly quota, remaining credits, and historical usage breakdown by date. Use when you need to monitor CDN consumption or check quota status. | | `SHORTPIXEL_OPTIMIZE_IMAGES_BY_URL` | Optimize Images by URL | Tool to optimize images by providing their URLs. Supports batch processing of up to 100 URLs per request with options for lossy, glossy, or lossless compression, resizing, format conversion (WebP/AVIF), and background removal. Use when you need to compress and optimize images accessible online. | | `SHORTPIXEL_READ_CDN_DOMAIN` | Read CDN Domain Status | Tool to check the status of a domain and its CDN quota on ShortPixel. Returns a status code indicating credit availability. Use when you need to verify domain accessibility and quota status. | | `SHORTPIXEL_REVOKE_CDN_DOMAIN` | Revoke CDN Domain | Tool to revoke a domain association from ShortPixel CDN. Only works if the API key belongs to the current domain owner. Use when you need to remove the association between a domain and the user account. | | `SHORTPIXEL_SET_CDN_DOMAIN` | Set CDN Domain | Tool to associate an API key with an existing domain. Unlike add-domain, this does not create a new domain - it only associates a user ID if not already associated. Use when you need to claim unassociated domains. | | `SHORTPIXEL_UPLOAD_AND_OPTIMIZE_IMAGES` | Upload and Optimize Images | Tool to upload and optimize images that are not accessible online. Uses multipart form data to upload files directly and applies optimization parameters like compression type, resize options, and format conversion. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Shortpixel MCP server is an implementation of the Model Context Protocol that connects your AI agent to Shortpixel. It provides structured and secure access so your agent can perform Shortpixel 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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 required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) 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, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Shortpixel tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Shortpixel-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["shortpixel"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Shortpixel tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to shortpixel, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Shortpixel tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript 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({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n๐Ÿ‘‹ Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) 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, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["shortpixel"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to shortpixel, like summarize my last 5 emails, send an email, etc... :)))\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({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n๐Ÿ‘‹ Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Shortpixel agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Shortpixel MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/shortpixel/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/shortpixel/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/shortpixel/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/shortpixel/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/shortpixel/framework/codex) - [OpenClaw](https://composio.dev/toolkits/shortpixel/framework/openclaw) - [Hermes](https://composio.dev/toolkits/shortpixel/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/shortpixel/framework/cli) - [Google ADK](https://composio.dev/toolkits/shortpixel/framework/google-adk) - [LangChain](https://composio.dev/toolkits/shortpixel/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/shortpixel/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/shortpixel/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/shortpixel/framework/crew-ai) ## Related Toolkits - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. 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It delivers high-quality screenshots on demand for automation, monitoring, or reporting. - [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache. - [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence. - [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. 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It makes it easy for teams to organize data and automate workflows without writing code. - [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows. - [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights. - [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews. - [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease. - [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Shortpixel MCP? With a standalone Shortpixel MCP server, the agents and LLMs can only access a fixed set of Shortpixel tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Shortpixel and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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 Shortpixel tools. ### Can I manage the permissions and scopes for Shortpixel while using Tool Router? Yes, absolutely. You can configure which Shortpixel 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 Shortpixel data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)