# How to integrate Spondyr MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Spondyr MCP with Vercel AI SDK v6", "toolkit": "Spondyr", "toolkit_slug": "spondyr", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/spondyr/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/spondyr/framework/ai-sdk.md", "updated_at": "2026-05-12T10:26:53.357Z" } ``` ## Introduction This guide walks you through connecting Spondyr to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Spondyr agent that can list all transaction types in spondyr, create condition rules for refund events, update event type name for shipped orders through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Spondyr account through Composio's Spondyr MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Spondyr with - [OpenAI Agents SDK](https://composio.dev/toolkits/spondyr/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/spondyr/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/spondyr/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/spondyr/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/spondyr/framework/codex) - [OpenClaw](https://composio.dev/toolkits/spondyr/framework/openclaw) - [Hermes](https://composio.dev/toolkits/spondyr/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/spondyr/framework/cli) - [Google ADK](https://composio.dev/toolkits/spondyr/framework/google-adk) - [LangChain](https://composio.dev/toolkits/spondyr/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/spondyr/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/spondyr/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/spondyr/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Spondyr integration - Using Composio's Tool Router to dynamically load and access Spondyr 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 Spondyr MCP server, and what's possible with it? The Spondyr MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Spondyr account. It provides structured and secure access to your Spondyr templates, transaction types, events, and correspondence workflows, so your agent can perform actions like managing conditions, handling recipients, orchestrating correspondence delivery, and monitoring status updates for your business communications. - Comprehensive transaction type management: Quickly create, list, or update transaction types—making it easy for your agent to adapt Spondyr to your evolving business data needs. - Rule-based template selection: Define and manage conditions that control which templates are used for different transaction scenarios, ensuring your communications are always personalized and relevant. - Automated correspondence delivery and tracking: Have your agent trigger the delivery of generated correspondence and fetch real-time status updates, so you always know when and how your messages are sent. - Dynamic event and recipient handling: List, retrieve, update, or delete event types and recipient information to keep your communication flows flexible and up-to-date. - Seamless integration and configuration management: Effortlessly connect, configure, and synchronize your Spondyr settings and workflows—without manual intervention or custom code. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SPONDYR_CONDITIONS_LIST` | List Conditions | Tool to list all conditions for a transaction type. Use when you need to discover existing condition rules before creating templates or generating correspondence. Conditions define criteria for selecting specific templates based on transaction data. | | `SPONDYR_CREATE_CONDITION` | Create Condition | Create a condition rule for template selection in Spondyr. Conditions define matching criteria on transaction data fields that determine which document template to use. For example, create a condition on an 'OrderStatus' field to trigger different email templates for 'Pending' vs 'Shipped' orders. | | `SPONDYR_CREATE_TRANSACTION_TYPE` | Create Transaction Type | Tool to create a new transaction type. Use after defining the JSON schema for your data to register it in Spondyr. | | `SPONDYR_DELIVER_SPONDYR` | Deliver Spondyr correspondence | Trigger delivery of previously generated correspondence to recipients. Use this action after generating correspondence (via POST /Spondyr with IsGenerateOnly=true) to actually deliver the documents via email, fax, mail, or text message. The ReferenceID from the generate request is required to identify which correspondence to deliver. | | `SPONDYR_EVENT_TYPE_UPDATE` | Update Event Type | Tool to update an existing event type name within a transaction type. Use when you need to rename an Event Type. Example: Rename the 'OrderShipped' event to 'OrderDelivered' within the 'CustomerOrders' transaction type. Note: This only changes the event type's name - it does not move the event to a different transaction type. | | `SPONDYR_GET_EVENT_TYPES` | List Event Types for Transaction Type | Retrieves all event types associated with a specific transaction type in Spondyr. Event types define the kinds of events that can occur for a transaction type (e.g., "Created", "Updated", "Cancelled" events for an "Order" transaction type). Use this action after retrieving transaction types to discover what event types are available for a given transaction type. This is essential for understanding the event-driven workflows and setting up event-based automation in Spondyr. Returns an empty list if the transaction type exists but has no event types configured. | | `SPONDYR_GET_SPONDYR_STATUS` | Get Spondyr Status | Tool to retrieve the status of a previously generated correspondence. Use after generating correspondence to check its processing and delivery status. | | `SPONDYR_GET_TRANSACTION_TYPES` | Get Transaction Types | Tool to retrieve a list of available transaction types. Use after authentication to discover data schemas. | | `SPONDYR_RECIPIENT_DELETE` | Delete Recipient | Deletes a recipient configuration from a transaction type in Spondyr. Recipients are configured delivery endpoints (email addresses, fax numbers, physical addresses) that determine where correspondence will be sent when a transaction is processed. This action permanently removes a recipient configuration from the specified transaction type. Before deletion, use the 'List Recipients' action to verify the recipient name and transaction type. After successful deletion, the recipient will no longer be available for correspondence delivery. | | `SPONDYR_RECIPIENT_GET` | Get Recipient | Tool to retrieve details of a specific recipient. Use when you need to fetch recipient configuration for a given transaction type. Example: "Retrieve recipient 'Customer' for transaction type 'OrderPlaced'." | | `SPONDYR_RECIPIENTS_LIST` | List Recipients | Tool to list all recipients for a transaction type. Use when you need to discover or verify all configured recipients before sending or managing correspondence. | | `SPONDYR_SEARCH_FILTER_CREATE` | Create Search Filter | Create a new search filter for a transaction type in Spondyr. Search filters enable you to define searchable fields within your transaction data. Once created, these filters allow you to quickly search and retrieve specific transactions based on field values (e.g., search by OrderID, CustomerName, InvoiceNumber). Use this tool when you need to make a specific field searchable within a transaction type. | | `SPONDYR_SEARCH_FILTER_DELETE` | Delete Search Filter | Deletes a specific search filter from the Spondyr system. Use this when you need to remove a search filter that is no longer needed. Both the filter name and transaction type must exactly match the values used when the filter was created. If the filter does not exist, the API will return an error. | | `SPONDYR_SEARCH_FILTER_GET` | Get Search Filter | Retrieves details of a specific search filter in Spondyr by name and transaction type. Returns the filter's name, tag value, and associated transaction type. Use this when you need to look up an existing search filter's configuration, verify its tag format, or confirm which transaction type it belongs to before using it for correspondence searches. | | `SPONDYR_SEARCH_FILTERS_LIST` | List Search Filters | Tool to list all search filters for a transaction type. Use when you need to discover available filters before searching correspondence. | | `SPONDYR_SEARCH_SPONDYRS` | Search Correspondence | Search for generated correspondence (spondyrs) by multiple criteria including batch ID, event type, and custom search filters. Returns paginated results with delivery status, recipient information, and URIs to access generated documents. Use this to find and retrieve previously generated correspondence. | | `SPONDYR_SSO_STUB` | Create Spondyr SSO stub | Tool to create a one-time SSO user stub in Spondyr. Use after application authentication to generate a temporary SSO token for embedding or redirecting users. | | `SPONDYR_TEMPLATE_GET` | Get Template | Retrieve detailed configuration for a specific correspondence template. Returns template content reference ID, event type, recipients, delivery methods, conditions, and search filters. Use this action when you need to: - Inspect template settings and configuration - View recipient delivery methods (Email, Mail, Text, DocuSign, Fax, Destination) - Review template selection conditions and search filters - Get the template content reference ID for correspondence generation Prerequisites: Use 'Get Transaction Types' to discover transaction types, then 'List Templates' to find available template names. Example: Retrieve template 'OrderConfirmationEmail' for transaction type 'CustomerOrder'. | | `SPONDYR_TEMPLATES_LIST` | List Templates | List all templates configured for a transaction type. Use this to discover available templates before generating correspondence or to audit template configurations. Returns template metadata including name, event type, content type, recipients, conditions, and search filters. Use Get Template action to retrieve full template content and detailed configuration. | | `SPONDYR_TRANSACTION_TYPE_GET` | Get Transaction Type | Tool to retrieve details of a specific transaction type. Use when inspecting a transaction type schema. Returns the schema definition including JSON structure and CSV field mappings. Example: "Get transaction type 'CustomerOrder' to view its JSON schema and available fields." | | `SPONDYR_TRANSACTION_TYPE_UPDATE` | Update Transaction Type | Updates an existing transaction type's name and/or JSON schema in Spondyr. Use this tool to: - Modify the JSON schema/template of a transaction type to add, remove, or change data fields - Rename an existing transaction type - Update sample data values in the template Prerequisites: The transaction type must already exist. Use 'Get Transaction Types' to list available types or 'Get Transaction Type' to retrieve the current schema before updating. Example: Update the 'OrderPlaced' transaction type with a new JSON schema that includes customer address fields. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Spondyr MCP server is an implementation of the Model Context Protocol that connects your AI agent to Spondyr. It provides structured and secure access so your agent can perform Spondyr 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 Spondyr 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 Spondyr-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: ["spondyr"], }); 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 Spondyr 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 spondyr, 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 Spondyr 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: ["spondyr"], }); 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 spondyr, 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 Spondyr 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 Spondyr MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/spondyr/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/spondyr/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/spondyr/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/spondyr/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/spondyr/framework/codex) - [OpenClaw](https://composio.dev/toolkits/spondyr/framework/openclaw) - [Hermes](https://composio.dev/toolkits/spondyr/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/spondyr/framework/cli) - [Google ADK](https://composio.dev/toolkits/spondyr/framework/google-adk) - [LangChain](https://composio.dev/toolkits/spondyr/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/spondyr/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/spondyr/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/spondyr/framework/crew-ai) ## Related Toolkits - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code. - [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications. - [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews. - [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. 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Capture, manage, and integrate form responses securely for streamlined workflows. - [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses. - [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale. - [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals. - [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps. - [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination. - [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code. - [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Spondyr MCP? With a standalone Spondyr MCP server, the agents and LLMs can only access a fixed set of Spondyr tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Spondyr 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 Spondyr tools. ### Can I manage the permissions and scopes for Spondyr while using Tool Router? Yes, absolutely. You can configure which Spondyr 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 Spondyr data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)