# How to integrate Nusii proposals MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Nusii proposals MCP with Vercel AI SDK v6", "toolkit": "Nusii proposals", "toolkit_slug": "nusii_proposals", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/nusii_proposals/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/nusii_proposals/framework/ai-sdk.md", "updated_at": "2026-03-29T06:43:43.501Z" } ``` ## Introduction This guide walks you through connecting Nusii proposals to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Nusii proposals agent that can create a new proposal for acme corp, send a follow-up email for pending proposal, list all proposals sent in the last month through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Nusii proposals account through Composio's Nusii proposals MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Nusii proposals with - [OpenAI Agents SDK](https://composio.dev/toolkits/nusii_proposals/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/nusii_proposals/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/nusii_proposals/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/nusii_proposals/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/nusii_proposals/framework/codex) - [OpenClaw](https://composio.dev/toolkits/nusii_proposals/framework/openclaw) - [Hermes](https://composio.dev/toolkits/nusii_proposals/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/nusii_proposals/framework/cli) - [Google ADK](https://composio.dev/toolkits/nusii_proposals/framework/google-adk) - [LangChain](https://composio.dev/toolkits/nusii_proposals/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/nusii_proposals/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/nusii_proposals/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/nusii_proposals/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Nusii proposals integration - Using Composio's Tool Router to dynamically load and access Nusii proposals 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 Nusii proposals MCP server, and what's possible with it? The Nusii proposals MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nusii proposals account. It provides structured and secure access so your agent can perform Nusii proposals operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `NUSII_PROPOSALS_ARCHIVE_PROPOSAL` | Archive Proposal | Tool to archive a specific proposal in Nusii. Use when you need to archive a proposal that is no longer active. | | `NUSII_PROPOSALS_CREATE_CLIENT` | Create Client | Tool to create a new client in Nusii Proposals. Use when you need to add a client with their contact and business details. Returns the created client's information including unique identifier. | | `NUSII_PROPOSALS_CREATE_LINE_ITEM` | Create Line Item | Tool to create a line item within a proposal section. Use when you need to add a cost item to a specific section of a proposal. | | `NUSII_PROPOSALS_CREATE_PROPOSAL` | Create Proposal | Tool to create a new proposal in Nusii. Use when you need to initialize a proposal with title, client information, and optional configuration settings. | | `NUSII_PROPOSALS_CREATE_SECTION` | Create Section | Tool to create a section for a proposal or template in Nusii Proposals. Use when you need to add a new section to a proposal or template. | | `NUSII_PROPOSALS_CREATE_WEBHOOK_ENDPOINT` | Create Webhook Endpoint | Tool to create a webhook endpoint to subscribe to Nusii events. Use when you need to register a new webhook for receiving event notifications. | | `NUSII_PROPOSALS_DELETE_A_CLIENT` | Delete a client | Tool to delete a specific client from Nusii account. Use when you need to permanently remove a client record. | | `NUSII_PROPOSALS_DELETE_LINE_ITEM` | Delete Line Item | Tool to delete a line item from Nusii. Use when you need to remove a specific line item by its ID. | | `NUSII_PROPOSALS_DELETE_A_PROPOSAL` | Delete a proposal | Tool to delete a proposal from the system. Use when you need to permanently remove a proposal by its ID. | | `NUSII_PROPOSALS_DELETE_A_SECTION` | Delete a section | Tool to delete a specific section from Nusii. Use when you need to remove a section from a proposal. Returns the deleted section data for confirmation purposes. | | `NUSII_PROPOSALS_DELETE_WEBHOOK_ENDPOINT` | Delete Webhook Endpoint | Tool to delete a specific webhook endpoint from the system. Use when you need to remove a webhook endpoint. | | `NUSII_PROPOSALS_GET_ACCOUNT_ME` | Get Account Me | Tool to retrieve authenticated user's personal account information and settings. Use to get current account details including company info, currency, locale, and contact information. | | `NUSII_PROPOSALS_GET_CLIENT` | Get Client | Tool to retrieve a single client from Nusii using their unique identifier. Use when you need to fetch detailed information about a specific client including contact details, business information, and preferences. | | `NUSII_PROPOSALS_GET_PROPOSAL` | Get Proposal | Tool to retrieve a single proposal with complete details and sections. Use when you need to fetch detailed information about a specific proposal. | | `NUSII_PROPOSALS_GET_SECTION` | Get Section | Tool to retrieve a single section from a proposal or template in Nusii. Use when you need detailed information about a specific section including title, content, pricing, and metadata. | | `NUSII_PROPOSALS_GET_WEBHOOK_ENDPOINT` | Get Webhook Endpoint | Tool to retrieve a single webhook endpoint configuration. Use when you need to get details about a specific webhook endpoint including its target URL and subscribed events. | | `NUSII_PROPOSALS_LIST_CLIENTS` | List Clients | Tool to retrieve all clients associated with the account. Use when you need to list or browse clients with pagination support. | | `NUSII_PROPOSALS_LIST_LINE_ITEMS` | List Line Items | Tool to retrieve all line items from Nusii Proposals with pagination support. Use when you need to list or browse line items in proposals. | | `NUSII_PROPOSALS_LIST_PROPOSAL_ACTIVITIES` | List Proposal Activities | Tool to retrieve all proposal activities with optional filtering by proposal or client ID. Use when you need to track interactions with proposals such as views, sends, or acceptances. Supports pagination via page and per parameters. | | `NUSII_PROPOSALS_LIST_PROPOSALS` | List Proposals | Tool to retrieve all proposals from your Nusii account with pagination and filtering options. Use when you need to browse proposals or filter by status. | | `NUSII_PROPOSALS_LIST_SECTION_LINE_ITEMS` | List Section Line Items | Tool to retrieve all line items from a specific section. Use when you need to get details about line items including pricing, quantities, and cost types within a section. Note: This endpoint does not support pagination. | | `NUSII_PROPOSALS_LIST_SECTIONS` | List Sections | Tool to retrieve all sections with optional filtering for proposals or templates. Use when you need to list sections or filter by proposal_id or template_id. | | `NUSII_PROPOSALS_LIST_THEMES` | List Themes | Tool to retrieve all available themes for proposals in Nusii. Use when you need to browse available theme options or select a theme for a proposal. | | `NUSII_PROPOSALS_LIST_USERS` | List Users | Tool to retrieve all users in paginated format. Use when you need to list users in the Nusii system. Supports pagination via page and per parameters. | | `NUSII_PROPOSALS_LIST_WEBHOOK_ENDPOINTS` | List Webhook Endpoints | Tool to retrieve all webhook endpoints configured for your Nusii account. Use when you need to view all configured webhook subscriptions. Supports pagination via page and per parameters. | | `NUSII_PROPOSALS_UPDATE_CLIENT` | Update Client | Tool to update an existing client's information in Nusii. Use when you need to modify client details such as contact information, business details, or preferences. | | `NUSII_PROPOSALS_UPDATE_LINE_ITEM` | Update Line Item | Tool to update an existing line item in Nusii proposals. Use when modifying line item details such as name, amount, cost type, or position. All update parameters are optional - only include the fields you want to change. | | `NUSII_PROPOSALS_UPDATE_PROPOSAL` | Update Proposal | Tool to update an existing proposal in Nusii. Use when you need to modify proposal details like title, client, expiration date, or display settings. | | `NUSII_PROPOSALS_UPDATE_SECTION` | Update Section | Tool to update an existing section in a proposal or template. Use when you need to modify section content, settings, or display properties. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Nusii proposals MCP server is an implementation of the Model Context Protocol that connects your AI agent to Nusii proposals. It provides structured and secure access so your agent can perform Nusii proposals 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 Nusii proposals 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 Nusii proposals-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: ["nusii_proposals"], }); 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 Nusii proposals 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 nusii_proposals, 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 Nusii proposals 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: ["nusii_proposals"], }); 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 nusii_proposals, 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 Nusii proposals 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 Nusii proposals MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/nusii_proposals/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/nusii_proposals/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/nusii_proposals/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/nusii_proposals/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/nusii_proposals/framework/codex) - [OpenClaw](https://composio.dev/toolkits/nusii_proposals/framework/openclaw) - [Hermes](https://composio.dev/toolkits/nusii_proposals/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/nusii_proposals/framework/cli) - [Google ADK](https://composio.dev/toolkits/nusii_proposals/framework/google-adk) - [LangChain](https://composio.dev/toolkits/nusii_proposals/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/nusii_proposals/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/nusii_proposals/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/nusii_proposals/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [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. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions. - [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date. - [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page. - [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes. - [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights. - [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Nusii proposals MCP? With a standalone Nusii proposals MCP server, the agents and LLMs can only access a fixed set of Nusii proposals tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Nusii proposals 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 Nusii proposals tools. ### Can I manage the permissions and scopes for Nusii proposals while using Tool Router? Yes, absolutely. You can configure which Nusii proposals 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 Nusii proposals data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)