# How to integrate Interzoid MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Interzoid MCP with Vercel AI SDK v6", "toolkit": "Interzoid", "toolkit_slug": "interzoid", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/interzoid/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/interzoid/framework/ai-sdk.md", "updated_at": "2026-05-12T10:16:08.678Z" } ``` ## Introduction This guide walks you through connecting Interzoid to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Interzoid agent that can match duplicate customer records by name, verify email addresses in a contact list, enrich company data with industry details through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Interzoid account through Composio's Interzoid MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Interzoid with - [OpenAI Agents SDK](https://composio.dev/toolkits/interzoid/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/interzoid/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/interzoid/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/interzoid/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/interzoid/framework/codex) - [OpenClaw](https://composio.dev/toolkits/interzoid/framework/openclaw) - [Hermes](https://composio.dev/toolkits/interzoid/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/interzoid/framework/cli) - [Google ADK](https://composio.dev/toolkits/interzoid/framework/google-adk) - [LangChain](https://composio.dev/toolkits/interzoid/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/interzoid/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/interzoid/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/interzoid/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Interzoid integration - Using Composio's Tool Router to dynamically load and access Interzoid 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 Interzoid MCP server, and what's possible with it? The Interzoid MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Interzoid account. It provides structured and secure access to Interzoid's powerful data quality APIs, so your agent can perform actions like matching records, verifying data, enriching information, and analyzing datasets on your behalf. - Data matching and deduplication: Let your agent detect and merge duplicate records across datasets using fuzzy and advanced matching algorithms. - Real-time data verification: Have the agent verify email addresses, phone numbers, and other key data points to ensure accuracy and reliability. - Data enrichment and augmentation: Automatically enhance your records with additional company, contact, or geographic information pulled from Interzoid's enrichment APIs. - Similarity scoring and analysis: Enable your agent to compare names, addresses, or other fields for similarity, helping with record linkage or fraud detection. - Automated quality checks: Easily set up workflows where your agent scans new or existing data for quality issues and suggests corrections or improvements. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `INTERZOID_ADDRESS_PARSE` | Parse Address | Tool to parse a free-form address into structured components. Use when you need to extract street, city, state, etc. from unstructured address strings. | | `INTERZOID_EMAIL_TRUST_SCORE` | Interzoid Email Trust Score | Tool to return a trust score for an email address. Use when you need to assess the quality and legitimacy of an email address. Call after acquiring the target email. | | `INTERZOID_GET_ADDRESS_MATCH_ADVANCED` | Get Address Match Advanced | Tool to generate a similarity key for a US street address. Use when performing fuzzy deduplication of addresses across datasets. | | `INTERZOID_GET_AREA_CODE` | Get Area Code Information | Tool to retrieve telephone area code information including primary city and geographic locale. Use when you need to get details about a specific area code. | | `INTERZOID_GET_AREA_CODE_FROM_NUMBER` | Get Area Code From Number | Tool to get area code information from a telephone number. Use when you need to identify the geographic location or area code details for a given phone number. | | `INTERZOID_GET_BUSINESS_INFO` | Get Business Info | Tool to retrieve comprehensive company profiles and business intelligence. Use when you need detailed company information by name, domain, or email. | | `INTERZOID_GET_COMPANY_MATCH_ADVANCED` | Get Company Match Advanced | Tool to generate a fuzzy-matching key for an organization name. Use when normalizing and deduplicating company names after extraction. | | `INTERZOID_GET_COUNTRY_INFO` | Get Country Info | Tool to standardize a country name and return metadata like ISO codes, currency, TLD, and calling code. Use when you need detailed country information based on a country name or code. | | `INTERZOID_GET_CURRENCY_RATE` | Get Currency Rate | Tool to retrieve live USD exchange rate for a currency symbol. Use when you need current market rate for a three-letter ISO 4217 currency. | | `INTERZOID_GET_CUSTOM_DATA` | Get Custom Data | Tool to retrieve custom enriched data based on a topic and lookup value. Use after specifying the desired output fields. | | `INTERZOID_GET_EMAIL_INFO` | Get Email Info | Tool to validate an email and return enrichment/demographics. Use when you need in-depth email analysis after confirming the email address. | | `INTERZOID_GET_ENTITY_TYPE` | Get Entity Type | Tool to classify a text string into an entity type. Use when you need to identify if input refers to a Location, Organization, or Individual. | | `INTERZOID_GET_EXECUTIVE_PROFILE` | Get Executive Profile | Tool to retrieve executive profile details based on company and title keywords. Use when you need executive information such as LinkedIn and biography links. | | `INTERZOID_GET_FULL_NAME_MATCH` | Get Full Name Match | Tool to generate a similarity key for a full name. Use when performing fuzzy matching or deduplication of individual names. | | `INTERZOID_GET_FULL_NAME_MATCH_SCORE` | Get Full Name Match Score | Tool to return a similarity score between two full names. Use when determining if two person names likely refer to the same individual. | | `INTERZOID_GET_GLOBAL_ADDRESS_MATCH` | Get Global Address Match | Tool to generate a similarity key for a global address. Use when performing fuzzy matching and deduplication of international addresses. | | `INTERZOID_GET_GLOBAL_PAGE_LOAD_PERFORMANCE` | Get Global Page Load Performance | Tool to measure page/API load time from a specified global origin. Use when benchmarking response times across geographic locations. | | `INTERZOID_GET_GLOBAL_WEATHER` | Get Global Weather | Tool to return current weather conditions for a global location. Use when you need up-to-the-minute weather details for any city worldwide. | | `INTERZOID_GET_IP_PROFILE` | Get IP Profile | Tool to retrieve IP intelligence including ASN, organization, geolocation, and reputation. Use when profiling an IP address for threat analysis. | | `INTERZOID_GET_LICENSE` | Get API License Key | Tool to retrieve the configured Interzoid API license key. Use when you need to inspect which API key is active in the current connection. | | `INTERZOID_GET_NAME_ORIGIN` | Get Name Origin | Tool to infer the likely country or region of origin from a personal name. Use after obtaining a name to guess its origin. | | `INTERZOID_GET_ORG_MATCH_SCORE` | Get Org Match Score | Tool to return a 1–99 match score between two organization names. Use after gathering both names to evaluate organization similarity. | | `INTERZOID_GET_ORG_STANDARD` | Get Org Standard | Tool to standardize an organization name to a canonical English form. Use when you need consistent company naming for data normalization. | | `INTERZOID_GET_PARENT_COMPANY_INFO` | Get Parent Company Info | Tool to retrieve ultimate parent company information. Use when you have a company name or domain and need its ownership details. | | `INTERZOID_GET_PHONE_PROFILE` | Get Phone Number Profile | Tool to retrieve phone number intelligence including validation, normalization, carrier, and risk assessment. Use when you need to enrich and validate a phone number after capture. | | `INTERZOID_GET_PRODUCT_MATCH` | Get Product Match | Tool to generate a similarity key for a product name. Use when normalizing and fuzzy-matching names across catalogs. | | `INTERZOID_GET_REMAINING_CREDITS` | Get Remaining API Credits | Tool to retrieve remaining Interzoid API credits. Use when you need to check your credit balance after usage. | | `INTERZOID_GET_WEATHER_ZIPCODE` | Get Weather by ZIP Code | Tool to get current weather conditions for a US ZIP code. Use when you need real-time weather information for a specific area after confirming the ZIP code is valid. | | `INTERZOID_IDENTIFY_LANGUAGE` | Identify Language | Tool to detect the language of a text string. Use when you need to identify the language of arbitrary text. Call after obtaining the text input. | | `INTERZOID_TRANSLATE_TO_ANY` | Translate any text (auto-detect language) | Tool to auto-detect the input language and translate given text to the specified target language. Use when you need quick translations without specifying the source language. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Interzoid MCP server is an implementation of the Model Context Protocol that connects your AI agent to Interzoid. It provides structured and secure access so your agent can perform Interzoid 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 Interzoid 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 Interzoid-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: ["interzoid"], }); 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 Interzoid 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 interzoid, 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 Interzoid 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: ["interzoid"], }); 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 interzoid, 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 Interzoid 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 Interzoid MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/interzoid/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/interzoid/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/interzoid/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/interzoid/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/interzoid/framework/codex) - [OpenClaw](https://composio.dev/toolkits/interzoid/framework/openclaw) - [Hermes](https://composio.dev/toolkits/interzoid/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/interzoid/framework/cli) - [Google ADK](https://composio.dev/toolkits/interzoid/framework/google-adk) - [LangChain](https://composio.dev/toolkits/interzoid/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/interzoid/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/interzoid/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/interzoid/framework/crew-ai) ## Related Toolkits - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data. - [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds. - [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights. - [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly. - [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools. - [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping. - [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights. - [Coinmarketcal](https://composio.dev/toolkits/coinmarketcal) - CoinMarketCal is a community-powered crypto calendar for upcoming events, announcements, and releases. It helps traders track market-moving developments and stay ahead in the crypto space. - [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks. - [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights. - [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently. - [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries. - [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business. - [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Interzoid MCP? With a standalone Interzoid MCP server, the agents and LLMs can only access a fixed set of Interzoid tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Interzoid 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 Interzoid tools. ### Can I manage the permissions and scopes for Interzoid while using Tool Router? Yes, absolutely. You can configure which Interzoid 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 Interzoid data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)