# How to integrate Textit MCP with Mastra AI ```json { "title": "How to integrate Textit MCP with Mastra AI", "toolkit": "Textit", "toolkit_slug": "textit", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/textit/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/textit/framework/mastra-ai.md", "updated_at": "2026-05-12T10:28:17.083Z" } ``` ## Introduction This guide walks you through connecting Textit to Mastra AI using the Composio tool router. By the end, you'll have a working Textit agent that can create a new campaign for event reminders, list all contact groups for segmentation, retrieve details about a specific campaign through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Textit account through Composio's Textit MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Textit with - [OpenAI Agents SDK](https://composio.dev/toolkits/textit/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/textit/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/textit/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/textit/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/textit/framework/codex) - [OpenClaw](https://composio.dev/toolkits/textit/framework/openclaw) - [Hermes](https://composio.dev/toolkits/textit/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/textit/framework/cli) - [Google ADK](https://composio.dev/toolkits/textit/framework/google-adk) - [LangChain](https://composio.dev/toolkits/textit/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/textit/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/textit/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/textit/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 Textit tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Textit 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 Textit 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 Textit MCP server, and what's possible with it? The Textit MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Textit account. It provides structured and secure access to your chatbots, contacts, campaigns, and messaging flows, so your agent can create campaigns, manage contact groups, organize labels, retrieve broadcasts, and handle messaging operations on your behalf. - Automated campaign management: Let your agent create, retrieve, or list messaging campaigns, helping you launch outreach efforts to targeted contact groups without lifting a finger. - Contact group creation and segmentation: Easily segment your audience by having your agent create or delete contact groups, keeping your communication organized and relevant. - Custom label organization: Enable your agent to create new message labels, allowing for smarter categorization and easier tracking of important conversations or topics. - Broadcast and archive retrieval: Effortlessly fetch lists of broadcasts or message archives, so your agent can provide summaries or analyze past messaging performance. - Contact management: Direct your agent to delete outdated or unnecessary contacts, ensuring your database stays clean and up-to-date automatically. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TEXTIT_CREATE_CAMPAIGN` | Create Campaign | Tool to create a new campaign in TextIt. Use when you need to start a messaging campaign for a specific contact group. | | `TEXTIT_CREATE_GROUP` | Create Contact Group | Tool to create a new contact group. Use when segmenting contacts before sending messages. | | `TEXTIT_CREATE_LABEL` | Create Label | Tool to create a new message label. Use when you need to categorize messages. Example: Create a label 'Important'. Creates a label under your organization using the TextIt Labels API. | | `TEXTIT_DELETE_CONTACT` | Delete Contact | Tool to delete an existing contact. Use when you have the contact's UUID and need to remove it. | | `TEXTIT_DELETE_GROUP` | Delete Contact Group | Tool to delete an existing contact group. Use after ensuring the group has no active triggers or campaigns. | | `TEXTIT_DELETE_LABEL` | Delete Label | Tool to delete a message label by UUID. Use when you need to remove an existing label from your TextIt workspace. | | `TEXTIT_GET_CAMPAIGN` | Get Campaign | Tool to retrieve details about a specific campaign. Use when you have the campaign's UUID and need its full metadata. | | `TEXTIT_GET_WORKSPACE` | Get Workspace | Tool to retrieve current workspace details including name, country, languages, and timezone. Use when you need workspace configuration information. | | `TEXTIT_LIST_ARCHIVES` | List Archives | Tool to retrieve a list of message and run archives. Use when you need to browse or manage existing archives after authenticating. | | `TEXTIT_LIST_BROADCASTS` | List Broadcasts | Tool to list broadcasts. Use when you need to retrieve broadcasts with optional filters and pagination. | | `TEXTIT_LIST_CAMPAIGN_EVENTS2` | List Campaign Events 2 | Tool to retrieve campaign events with optional filtering. Use when you need to list scheduled triggers within campaigns, optionally filtering by event UUID or campaign UUID. | | `TEXTIT_LIST_CAMPAIGNS` | List Campaigns | Tool to list campaigns. Use after authentication to retrieve campaigns, optionally filtering by uuid or date range. | | `TEXTIT_LIST_CHANNELS` | List Channels | Tool to list channels. Use when you need to retrieve a paginated list of your organization's channels after confirming authentication. | | `TEXTIT_LIST_CLASSIFIERS` | List Classifiers | Tool to list NLU classifiers configured for your organization. Use when you need to retrieve natural language understanding classifiers (wit.ai, luis, bothub) after confirming authentication. | | `TEXTIT_LIST_CONTACTS` | List Contacts | Tool to retrieve a list of contacts. Use when you need to fetch contacts with optional filters (UUID, URN, group, or modified date). Use after authenticating your client. | | `TEXTIT_LIST_FIELDS` | List custom contact fields | Tool to retrieve a list of custom contact fields. Use when you need to view or filter all defined contact fields with pagination and optional search. | | `TEXTIT_LIST_FLOWS` | List Flows | Tool to retrieve a list of flows for your organization. Use when you need to fetch automated conversation flows with optional filters (UUID, type, archived status, or modified date). | | `TEXTIT_LIST_FLOW_STARTS` | List Flow Starts | Tool to retrieve a list of manual flow starts. Use when you need to fetch flow start records with optional filters and pagination. | | `TEXTIT_LIST_GLOBALS` | List Globals | Tool to list global variables. Use when you need to retrieve all workspace-level variables after authenticating. | | `TEXTIT_LIST_GROUPS2` | List Groups | Tool to list contact groups for your organization. Use when you need to fetch groups with optional filtering by uuid or name. | | `TEXTIT_LIST_LABELS2` | List Labels 2 | Tool to retrieve a list of message labels for your organization. Use when you need to filter labels by UUID or name. | | `TEXTIT_LIST_MESSAGES` | List Messages | Tool to retrieve a list of messages. Use when you need to fetch messages with optional filters (UUID, folder, contact, broadcast, or date range). Results are paginated. | | `TEXTIT_LIST_RESTHOOK_EVENTS` | List Resthook Events | Tool to retrieve recent resthook events for your organization. Use when you need to inspect webhook events that have been triggered, optionally filtered by resthook slug. Events are returned in reverse chronological order. | | `TEXTIT_LIST_RESTHOOKS` | List Resthooks | Tool to list configured resthooks (webhooks). Use when you need to retrieve the resthooks configured in your TextIt account. | | `TEXTIT_LIST_RESTHOOK_SUBSCRIBERS` | List Resthook Subscribers | Tool to list webhook subscribers for your organization's resthooks. Use when you need to retrieve the target URLs that receive webhook events for specific resthooks. | | `TEXTIT_LIST_RUNS` | List Runs | Tool to retrieve a list of flow runs. Use when you need to filter or browse run history by flow, contact, or status. | | `TEXTIT_LIST_TICKETS` | List Tickets | Tool to retrieve support tickets for your organization. Use when you need to fetch tickets with optional filters (UUID, contact, topic, or assignee). Returns paginated ticket data. | | `TEXTIT_LIST_TOPICS2` | List Topics V2 | Tool to list topics in the workspace for categorizing tickets. Use when you need to retrieve topics, optionally filtered by UUID. | | `TEXTIT_LIST_USERS` | List Users | Tool to retrieve a list of user logins in your workspace with their roles and teams. Use when you need to fetch users with optional UUID filter. Results are ordered by newest created first. | | `TEXTIT_SEND_BROADCAST` | Send Broadcast | Tool to send a new broadcast message. Use after composing message translations and selecting recipients (urns, contacts, or groups). | | `TEXTIT_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact. Use after identifying the contact's UUID or URN and preparing details. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Textit MCP server is an implementation of the Model Context Protocol that connects your AI agent to Textit. It provides structured and secure access so your agent can perform Textit 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 Textit 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 Textit What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "textit" for Textit 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: ["textit"], }, ); const composioMCPUrl = session.mcp.url; console.log("Textit 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 Textit 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: "textit-mastra-agent", instructions: "You are an AI agent with Textit 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 Textit 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: { textit: 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: ["textit"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { textit: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "textit-mastra-agent", instructions: "You are an AI agent with Textit 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: { textit: 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 Textit 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 Textit MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/textit/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/textit/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/textit/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/textit/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/textit/framework/codex) - [OpenClaw](https://composio.dev/toolkits/textit/framework/openclaw) - [Hermes](https://composio.dev/toolkits/textit/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/textit/framework/cli) - [Google ADK](https://composio.dev/toolkits/textit/framework/google-adk) - [LangChain](https://composio.dev/toolkits/textit/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/textit/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/textit/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/textit/framework/crew-ai) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication. - [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack. - [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers. - [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity. - [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease. - [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace. - [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms. - [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates. - [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices. - [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels. - [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks. - [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission. - [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security. - [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Textit MCP? With a standalone Textit MCP server, the agents and LLMs can only access a fixed set of Textit tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Textit 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 Textit tools. ### Can I manage the permissions and scopes for Textit while using Tool Router? Yes, absolutely. You can configure which Textit 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 Textit data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)