# How to integrate Supportivekoala MCP with Mastra AI ```json { "title": "How to integrate Supportivekoala MCP with Mastra AI", "toolkit": "Supportivekoala", "toolkit_slug": "supportivekoala", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/supportivekoala/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/supportivekoala/framework/mastra-ai.md", "updated_at": "2026-05-12T10:27:35.620Z" } ``` ## Introduction This guide walks you through connecting Supportivekoala to Mastra AI using the Composio tool router. By the end, you'll have a working Supportivekoala agent that can create a personalized welcome image for new users, generate event flyers using your saved template, list all image templates i’ve set up through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Supportivekoala account through Composio's Supportivekoala MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Supportivekoala with - [OpenAI Agents SDK](https://composio.dev/toolkits/supportivekoala/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/supportivekoala/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/supportivekoala/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/supportivekoala/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/supportivekoala/framework/codex) - [OpenClaw](https://composio.dev/toolkits/supportivekoala/framework/openclaw) - [Hermes](https://composio.dev/toolkits/supportivekoala/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/supportivekoala/framework/cli) - [Google ADK](https://composio.dev/toolkits/supportivekoala/framework/google-adk) - [LangChain](https://composio.dev/toolkits/supportivekoala/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/supportivekoala/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/supportivekoala/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/supportivekoala/framework/crew-ai) ## 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 Supportivekoala tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Supportivekoala 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 Supportivekoala 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 Supportivekoala MCP server, and what's possible with it? The Supportivekoala MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Supportivekoala account. It provides structured and secure access to your image generation workflows, so your agent can create images, manage templates, retrieve image lists, and automate visual content creation entirely on your behalf. - Automated image creation using templates: Instantly generate custom images by selecting and modifying templates with dynamic data, all through your agent. - Template management and customization: Let your agent create new templates for recurring graphic needs or update existing ones to fit fresh branding and messaging. - Image and asset retrieval: Effortlessly list all images generated by your account, allowing your agent to fetch, manage, or reference previous visual assets as needed. - Template discovery and details: Retrieve and review all available templates, or fetch full details for any template using its ID—perfect for scaling up campaigns or personalizing content. - User registration automation: Seamlessly create new user accounts so your workflows can onboard new teammates or clients without manual intervention. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SUPPORTIVEKOALA_CREATE_IMAGE` | Create Image | Tool to create a new image based on a template. Use when you have selected your template and prepared modifications. | | `SUPPORTIVEKOALA_CREATE_TEMPLATE` | Create Template | Tool to create a new template for image generation. Use after gathering template details. | | `SUPPORTIVEKOALA_LIST_IMAGES` | List Images | Tool to list images associated with the authenticated user. Use after confirming authentication. | | `SUPPORTIVEKOALA_LIST_TEMPLATES` | List Templates | Tool to retrieve all templates. Use when you need to list all templates for the authenticated user. | | `SUPPORTIVEKOALA_REGISTER_USER` | Register User | Tool to register a new user account. Use after collecting valid user credentials. | | `SUPPORTIVEKOALA_RETRIEVE_TEMPLATE` | Retrieve Template by ID | Tool to retrieve a template by ID. Use when you have a valid template ID and need full template details. Use after confirming this detail. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Supportivekoala MCP server is an implementation of the Model Context Protocol that connects your AI agent to Supportivekoala. It provides structured and secure access so your agent can perform Supportivekoala 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 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 ### 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 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Go to Settings and copy your API key. - This key lets your Mastra agent talk to Composio and reach Supportivekoala through MCP. ### 2. Install dependencies 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 ```bash npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai 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 - COMPOSIO_USER_ID tells Composio which user this session belongs to - OPENAI_API_KEY lets the Mastra agent call OpenAI models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import libraries and validate environment 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 ```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, }); ``` ### 5. Create a Tool Router session for Supportivekoala What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "supportivekoala" for Supportivekoala access - session.mcp.url is the MCP URL that Mastra's MCPClient will connect to ```typescript async function main() { const session = await composio.create( composioUserID as string, { toolkits: ["supportivekoala"], }, ); const composioMCPUrl = session.mcp.url; console.log("Supportivekoala MCP URL:", composioMCPUrl); ``` ### 6. Configure Mastra MCP client and fetch tools 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 Supportivekoala toolkit ```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); ``` ### 7. Create the Mastra agent 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 ```typescript const agent = new Agent({ name: "supportivekoala-mastra-agent", instructions: "You are an AI agent with Supportivekoala tools via Composio.", model: "openai/gpt-5", }); ``` ### 8. Set up interactive chat interface What's happening: - messages keeps the full conversation history in Mastra's expected format - agent.generate runs the agent with conversation history and Supportivekoala 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 ```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: { supportivekoala: 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); }); ``` ## Complete Code ```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: ["supportivekoala"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { supportivekoala: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "supportivekoala-mastra-agent", instructions: "You are an AI agent with Supportivekoala 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: { supportivekoala: 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 Supportivekoala 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 ## How to build Supportivekoala MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/supportivekoala/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/supportivekoala/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/supportivekoala/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/supportivekoala/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/supportivekoala/framework/codex) - [OpenClaw](https://composio.dev/toolkits/supportivekoala/framework/openclaw) - [Hermes](https://composio.dev/toolkits/supportivekoala/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/supportivekoala/framework/cli) - [Google ADK](https://composio.dev/toolkits/supportivekoala/framework/google-adk) - [LangChain](https://composio.dev/toolkits/supportivekoala/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/supportivekoala/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/supportivekoala/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/supportivekoala/framework/crew-ai) ## Related Toolkits - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns. - [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active. - [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place. - [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES. - [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere. - [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools. - [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools. - [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes. - [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management. - [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals. - [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams. - [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience. - [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs. - [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Supportivekoala MCP? With a standalone Supportivekoala MCP server, the agents and LLMs can only access a fixed set of Supportivekoala tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Supportivekoala and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Mastra AI? 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 Supportivekoala tools. ### Can I manage the permissions and scopes for Supportivekoala while using Tool Router? Yes, absolutely. You can configure which Supportivekoala 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 Supportivekoala data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)