# How to integrate Unione MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Unione MCP with Vercel AI SDK v6", "toolkit": "Unione", "toolkit_slug": "unione", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/unione/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/unione/framework/ai-sdk.md", "updated_at": "2026-05-12T10:29:27.544Z" } ``` ## Introduction This guide walks you through connecting Unione to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Unione agent that can check your current unione email balance, cancel a scheduled email by job id, list all sender domains and their status through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Unione account through Composio's Unione MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Unione with - [OpenAI Agents SDK](https://composio.dev/toolkits/unione/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/unione/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/unione/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/unione/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/unione/framework/codex) - [OpenClaw](https://composio.dev/toolkits/unione/framework/openclaw) - [Hermes](https://composio.dev/toolkits/unione/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/unione/framework/cli) - [Google ADK](https://composio.dev/toolkits/unione/framework/google-adk) - [LangChain](https://composio.dev/toolkits/unione/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/unione/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/unione/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/unione/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Unione integration - Using Composio's Tool Router to dynamically load and access Unione 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 Unione MCP server, and what's possible with it? The Unione MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Unione account. It provides structured and secure access to your Unione email delivery service, so your agent can send transactional or marketing emails, manage sending domains, monitor delivery events, check account balance, and automate email operations on your behalf. - Automated email sending and scheduling: Have your agent send transactional or marketing emails and even schedule deliveries right from your Unione account. - Domain verification and management: Easily manage sender domains, trigger domain verifications, and handle DNS/DKIM checks to keep your emails deliverable. - Event monitoring and export: Let your agent fetch specific email events, retrieve delivery metrics, or export comprehensive email event logs for auditing and analytics. - Account balance and plan checks: Quickly access your current email balance and subscription plan details, ensuring you stay within your sending limits. - Email job and pricing insights: Retrieve detailed information about specific email jobs and get up-to-date pricing for cost management before sending campaigns. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `UNIONE_DELETE_EVENT_DUMP` | Delete Event Dump | Tool to delete an event dump file and remove it from the queue or storage. Use when you need to clean up an existing event dump by its dump_id. | | `UNIONE_DELETE_TEMPLATE` | Delete Template | Tool to delete a template by ID. Use when you need to permanently remove a template from the account. | | `UNIONE_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook event notification handler by its URL. Use when you need to stop receiving callback notifications for a specific webhook. | | `UNIONE_EMAIL_BALANCE` | UniOne Email Balance | Tool to retrieve current account balance. Use when you need to check your email usage and limits before sending large campaigns. | | `UNIONE_EMAIL_CANCEL` | Cancel Scheduled Email | Tool to cancel a scheduled transactional email by its job ID. Use when you need to stop a pending email send before it's dispatched. | | `UNIONE_EMAIL_DOMAIN` | UniOne Email Domain Management | Tool to manage sender domains in UniOne. Use when you need DNS records for verification, trigger verification or DKIM checks, list domains, or delete a domain. | | `UNIONE_EMAIL_EVENT_GET` | Get Email Event | Tool to retrieve details of a specific email event by its ID. Use when you need event information for auditing or diagnostics. | | `UNIONE_EMAIL_GET` | Get Email Send Job | Tool to retrieve detailed information about a specific email send job. Use when you need its delivery metrics and history. | | `UNIONE_EMAIL_LIST` | UniOne Email List (Export) | Tool to export email events within a specified time frame. It creates an asynchronous event dump which can later be downloaded and parsed using UNIONE_EVENT_DUMP_GET. | | `UNIONE_EMAIL_RESEND` | Resend Sent Email | Tool to resend a previously sent email by its job ID. Use when you need to trigger a resend of an email that has already been sent and you have the original job ID. | | `UNIONE_EMAIL_RESUBSCRIBE` | UniOne Email Resubscribe | Tool to resubscribe a recipient who previously unsubscribed. Use when you need to restore a user's subscription status after they opt in again. | | `UNIONE_EMAIL_RESUME` | Resume Paused Email | Tool to resume a paused transactional email by its job ID. Use when you need to restart a paused pending email send. | | `UNIONE_EMAIL_SMTP` | UniOne Email SMTP Configuration | Tool to retrieve SMTP server details and credentials. Use when you need to configure your mail client or library for SMTP sending. | | `UNIONE_EMAIL_STATISTICS` | UniOne Email Statistics | Tool to retrieve email sending statistics over a specified time range. This action uses UniOne's event-dump aggregate API under the hood to compute daily statistics. | | `UNIONE_EMAIL_UNSUBSCRIBE` | UniOne Email Unsubscribe | Tool to unsubscribe an email from future emails. Use when you need to stop all further transactional emails. | | `UNIONE_EMAIL_VALIDATE_BATCH` | Batch Email Validation | Tool to validate multiple email addresses in a batch. Use when you need to verify deliverability for a list of emails at once. | | `UNIONE_EMAIL_VALIDATE_DELETE` | Remove Email from Suppression List | Tool to remove an email from the suppression list. Use when you need to re-enable sending emails to an address that was previously unsubscribed or suppressed. | | `UNIONE_EMAIL_VALIDATE_RETRY` | Retry Email Validation | Tool to retry an email validation request. Updated to re-run validation via the official single validation endpoint using the provided email address. | | `UNIONE_EMAIL_WEBHOOK_TYPES` | UniOne Email Webhook Types | Tool to retrieve supported email webhook event types. Use when configuring your webhook callbacks. | | `UNIONE_EVENT_DUMP_CREATE` | Create Event Dump | Tool to create an asynchronous CSV event dump. Use when you need to export transactional email events for a specified time window. | | `UNIONE_EVENT_DUMP_LIST` | UniOne Event Dump List | Tool to retrieve the full list of event dumps. Use when you need to view all existing event-dump tasks. | | `UNIONE_GET_EVENT_DUMP` | Get Event Dump | Tool to retrieve the status and download URLs of an event dump. Use when you need to check if a dump is ready and get its files. | | `UNIONE_GET_SUPPRESSION` | Get Email Suppression Details | Tool to check if an email is suppressed and retrieve the reason and date. Use when verifying why an email cannot receive messages. | | `UNIONE_GET_TEMPLATE` | Get Template | Tool to get template properties by ID. Use when you need to retrieve the full template configuration and content for a specific template. | | `UNIONE_GET_WEBHOOK` | Get Webhook Configuration | Tool to retrieve webhook configuration by its URL. Use when you need to check the current settings of an event notification handler. | | `UNIONE_SCHEDULE_EMAIL` | Schedule Email | Tool to schedule a transactional email up to 24 hours ahead. Use when you need to send an email at a specific future time. | | `UNIONE_SUPPRESSION_LIST` | Suppression List | Tool to return the suppression list since a given date. Use when auditing bounced, unsubscribed, or blocked recipients. | | `UNIONE_TAG_DELETE` | Delete Tag | Tool to delete a specific tag. Use when you have confirmed the tag ID you wish to remove. | | `UNIONE_TAG_LIST` | UniOne Tag List | Tool to retrieve all user-defined tags. Use when you need to fetch the full list of tags after authentication. | | `UNIONE_TEMPLATE_LIST` | UniOne Template List | Tool to list email templates. Use when you need to retrieve available templates for transactional emails. | | `UNIONE_TEMPLATE_SET` | Set Template | Tool to set or update an email template. Use when you need to create or modify transactional email templates before sending messages. | | `UNIONE_WEBHOOK_SET` | Set Webhook | Tool to set or edit a webhook event notification handler. Use when you need to configure your webhook for event callbacks. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Unione MCP server is an implementation of the Model Context Protocol that connects your AI agent to Unione. It provides structured and secure access so your agent can perform Unione 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 Unione 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 Unione-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: ["unione"], }); 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 Unione 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 unione, 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 Unione 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("\n👋 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: ["unione"], }); 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 unione, 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("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Unione 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 Unione MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/unione/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/unione/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/unione/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/unione/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/unione/framework/codex) - [OpenClaw](https://composio.dev/toolkits/unione/framework/openclaw) - [Hermes](https://composio.dev/toolkits/unione/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/unione/framework/cli) - [Google ADK](https://composio.dev/toolkits/unione/framework/google-adk) - [LangChain](https://composio.dev/toolkits/unione/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/unione/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/unione/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/unione/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 Unione MCP? With a standalone Unione MCP server, the agents and LLMs can only access a fixed set of Unione tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Unione 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 Unione tools. ### Can I manage the permissions and scopes for Unione while using Tool Router? Yes, absolutely. You can configure which Unione 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 Unione data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)