# How to integrate Canny MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Canny MCP with Vercel AI SDK v6", "toolkit": "Canny", "toolkit_slug": "canny", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/canny/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/canny/framework/ai-sdk.md", "updated_at": "2026-05-12T10:05:00.771Z" } ``` ## Introduction This guide walks you through connecting Canny to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Canny agent that can add 'urgent' tag to all critical feedback posts, create a new post on the bugs board, change status of top-voted post to 'in progress' through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Canny account through Composio's Canny MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Canny with - [OpenAI Agents SDK](https://composio.dev/toolkits/canny/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/canny/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/canny/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/canny/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/canny/framework/codex) - [OpenClaw](https://composio.dev/toolkits/canny/framework/openclaw) - [Hermes](https://composio.dev/toolkits/canny/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/canny/framework/cli) - [Google ADK](https://composio.dev/toolkits/canny/framework/google-adk) - [LangChain](https://composio.dev/toolkits/canny/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/canny/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/canny/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/canny/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Canny integration - Using Composio's Tool Router to dynamically load and access Canny 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 Canny MCP server, and what's possible with it? The Canny MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Canny account. It provides structured and secure access to your feedback boards, so your agent can create new posts, manage user feedback, update post status, and keep changelogs up to date—all automatically, on your behalf. - Automated feedback collection and posting: Enable your agent to create new posts on boards, capturing fresh user suggestions or bug reports with the right context every time. - User and comment management: Let your agent create or update user profiles, add new comments to posts, and even delete users or comments for moderation or compliance needs. - Status and tag updates: Have your agent update post statuses to reflect progress or changes, apply tags to categorize feedback, and create new tags as your product evolves. - Changelog automation: Seamlessly generate and publish changelog entries to keep users informed about new features or bug fixes, with full control over timing and notifications. - Feedback voting and prioritization: Allow your agent to create or migrate votes for posts, helping you track which ideas matter most to your users with minimal manual effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CANNY_ADD_POST_TAG` | Add Post Tag | Tool to add a tag to a specific post. Use when you need to categorize or group content by applying an existing tag. | | `CANNY_CHANGE_POST_STATUS` | Change Post Status | Tool to change a post's status. Use when you need to update a post's workflow stage and optionally notify voters. | | `CANNY_CREATE_CHANGELOG_ENTRY` | Create Changelog Entry | Tool to create and optionally publish a new changelog entry. Use when you need to add a product update record, control publish timing, and notify users. Example: "Create changelog entry titled 'Version 1.2' with details '...' and publish immediately.". | | `CANNY_CREATE_COMMENT` | Create Comment | Tool to create a new comment on a post. Use when you have the authorID and postID and want to submit feedback or replies. | | `CANNY_CREATE_OR_UPDATE_USER` | Create or Update User | Creates a new user or updates an existing user in Canny. If a user with the given identifier (email, userID, or id) already exists, their profile is updated; otherwise, a new user is created. IMPORTANT: At least one of 'email', 'userID', or 'id' must be provided along with 'name'. Use cases: - Sync users from your application to Canny - Update user profiles (name, avatar, custom fields) - Associate users with companies for segmentation Example: Create user with email: {"name": "Jane Doe", "email": "jane@example.com"} Example: Sync app user: {"name": "John Smith", "userID": "app_user_123", "email": "john@example.com"} | | `CANNY_CREATE_POST` | Create Post | Tool to create a new post (feature request or feedback) on a Canny board. Use this action when you need to submit new feedback or feature requests to a board. Requires a valid boardID (from list_boards) and authorID (from create_or_update_user or list_users). | | `CANNY_CREATE_TAG` | Create Tag | Tool to create a new tag. Use when you have the boardID and tag name and need to categorize posts. | | `CANNY_CREATE_VOTE` | Create Vote | Tool to create a vote for a post. Use when you need to record or migrate a user's vote on a post, optionally setting priority or original creation time. Example: Create a vote for postID abc123 with voterID user_456. | | `CANNY_DELETE_COMMENT` | Delete Comment | Tool to delete a comment. Use when moderation is required to remove a specific comment by its id. Example: "Delete the comment with ID 553c3ef8b8cdcd1501ba1238." | | `CANNY_DELETE_POST` | Delete Post | Tool to delete a post. Use when you need to permanently remove a post by its id. Example: "Delete the post with ID 553c3ef8b8cdcd1501ba1238." | | `CANNY_CANNY_DELETE_USER` | Delete User | Tool to delete a user and their comments and votes. Use when you need to fully remove a user’s account and all associated data (e.g., GDPR compliance). | | `CANNY_DELETE_VOTE` | Delete Vote | Tool to delete a vote. Use when you need to remove a user's vote from a specific post by its id. Example: "Delete the vote from postID abc123 for voterID user_456." | | `CANNY_LIST_BOARDS` | List Boards | Tool to list all boards. Use when you need to retrieve every board for your company after authentication. | | `CANNY_LIST_CATEGORIES` | List Categories | Tool to list categories. Use when fetching categories for a specific board by its ID. | | `CANNY_LIST_COMMENTS` | List Comments | Retrieves a paginated list of comments from Canny. Comments can be filtered by board, post, author, or company. Use this action to: - Get all comments across your Canny instance - Find comments on a specific post (using postID) - List comments from a specific board (using boardID) - See comments by a specific user (using authorID) - Track feedback from a company's users (using companyID) Returns comments ordered by creation date (newest first). Use 'limit' and 'skip' for pagination. | | `CANNY_LIST_COMPANIES` | List Companies | Tool to list companies associated with your Canny account. Use after authentication to retrieve companies with pagination support. | | `CANNY_LIST_OPPORTUNITIES` | List Opportunities | Tool to list opportunities linked to posts. Use when you need to fetch customer opportunities synced from CRM. | | `CANNY_LIST_POSTS` | List Posts | Tool to list posts with various filters. Use after selecting a board or to search/filter posts. | | `CANNY_LIST_TAGS` | List Tags | Tool to list tags. Use when fetching tags optionally filtered by board ID and handling pagination. | | `CANNY_LIST_USERS` | List Users | List all end-users in your Canny workspace with pagination support. Use this tool to: - Fetch users from your Canny workspace - Paginate through large user lists using cursor-based pagination - Get user details including email, name, admin status, and custom fields Returns a paginated list of users. Use the returned cursor to fetch subsequent pages. | | `CANNY_LIST_VOTES` | List Votes | Retrieve votes from Canny with optional filtering by board, post, or voter. Use this action to: - Get all votes on a specific post (filter by postID) - Get all votes by a specific user (filter by voterID) - Get all votes on posts in a board (filter by boardID) - List all votes across the account (no filters) Results are paginated - use 'limit' and 'skip' parameters to navigate through pages. Check 'hasMore' in the response to determine if more results are available. | | `CANNY_RETRIEVE_BOARD` | Retrieve Board | Tool to retrieve details of a board by its ID. Use when you need metadata for a specific board. | | `CANNY_RETRIEVE_TAG` | Retrieve Tag | Tool to retrieve details of a tag by its ID. Use after obtaining a valid tag ID. | | `CANNY_RETRIEVE_USER` | Retrieve User | Tool to retrieve user details by Canny user ID, app user ID, or email. Use when you have exactly one identifier and need full user information. Example: "Retrieve user with email user@example.com" | | `CANNY_UPDATE_POST` | Update Post | Tool to update post details. Use when you need to change a post's title, details, ETA, images, or custom fields. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Canny MCP server is an implementation of the Model Context Protocol that connects your AI agent to Canny. It provides structured and secure access so your agent can perform Canny 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 Canny 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 Canny-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: ["canny"], }); 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 Canny 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 canny, 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 Canny 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: ["canny"], }); 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 canny, 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 Canny 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 Canny MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/canny/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/canny/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/canny/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/canny/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/canny/framework/codex) - [OpenClaw](https://composio.dev/toolkits/canny/framework/openclaw) - [Hermes](https://composio.dev/toolkits/canny/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/canny/framework/cli) - [Google ADK](https://composio.dev/toolkits/canny/framework/google-adk) - [LangChain](https://composio.dev/toolkits/canny/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/canny/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/canny/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/canny/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. - [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. - [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Canny MCP? With a standalone Canny MCP server, the agents and LLMs can only access a fixed set of Canny tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Canny 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 Canny tools. ### Can I manage the permissions and scopes for Canny while using Tool Router? Yes, absolutely. You can configure which Canny 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 Canny data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)