# How to integrate Flowiseai MCP with Claude Code ```json { "title": "How to integrate Flowiseai MCP with Claude Code", "toolkit": "Flowiseai", "toolkit_slug": "flowiseai", "framework": "Claude Code", "framework_slug": "claude-code", "url": "https://composio.dev/toolkits/flowiseai/framework/claude-code", "markdown_url": "https://composio.dev/toolkits/flowiseai/framework/claude-code.md", "updated_at": "2026-05-12T10:11:53.393Z" } ``` ## Introduction Manage your Flowiseai directly from Claude Code with zero worries about OAuth hassles, API-breaking issues, or reliability and security concerns. You can do this in two different ways: - Via [Composio Connect](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code) - Direct and easiest approach - Via [Composio SDK](https://docs.composio.dev/docs?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=composio_sdk) - Programmatic approach with more control ## Also integrate Flowiseai with - [OpenAI Agents SDK](https://composio.dev/toolkits/flowiseai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/flowiseai/framework/claude-agents-sdk) - [Claude Cowork](https://composio.dev/toolkits/flowiseai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/flowiseai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/flowiseai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/flowiseai/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/flowiseai/framework/cli) - [Google ADK](https://composio.dev/toolkits/flowiseai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/flowiseai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/flowiseai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/flowiseai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/flowiseai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/flowiseai/framework/crew-ai) ## TL;DR - Only one MCP URL to connect multiple apps with Claude Code with zero auth hassles. - Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Handling Large tool responses out of LLM context to minimize context rot. - Dynamic just-in-time access to 20,000 tools across 1000+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need. ## Connect Flowiseai to Claude Code ### Connecting Flowiseai to Claude Code using Composio 1. Add the Composio MCP to Claude ```bash claude mcp add --scope user --transport http composio https://connect.composio.dev/mcp ``` ## What is Claude Code? Claude Code is Anthropic's command line developer tool that lets you use Claude directly inside your terminal. Instead of switching between your editor, browser, and chat, you can stay in your project folder and ask Claude to help you build, debug, refactor, and understand code right where you're working. Key features include: - Terminal-Native Experience: Work with Claude directly in your command line without switching contexts - MCP Support: Built-in support for Model Context Protocol servers to extend Claude's capabilities - Project Context: Claude understands your project structure and can read, write, and modify files - Interactive Development: Ask questions, debug code, and get help in real-time while coding - Multi-Platform: Works on macOS, Linux, WSL, and Windows ## What is the Flowiseai MCP server, and what's possible with it? The Flowiseai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Flowiseai account. It provides structured and secure access to your FlowiseAI workspace, so your agent can manage chatflows, automate workflow creation, clone or delete existing flows, and handle tool configurations on your behalf. - Automated chatflow creation and management: Instantly create new chatflows, fetch details of existing ones, or update and organize your LLM workflows programmatically. - Seamless cloning and exporting of chatflows: Duplicate any chatflow with a single request or export them for backup, sharing, or versioning across projects. - Easy clean-up and deletion: Direct your agent to delete chatflows, remove outdated tools, or erase chat messages to keep your workspace tidy and relevant. - Tool and workflow introspection: Retrieve detailed metadata for specific tools or chatflows so your agent can make informed decisions about which components to use or modify. - Effortless import and migration: Import chatflows from exported JSON files, making it simple to migrate or restore entire AI workflows with minimal manual effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `FLOWISEAI_CLONE_CHATFLOW` | Clone Chatflow | Tool to clone an existing chatflow. Use when you need to duplicate a chatflow by its ID. | | `FLOWISEAI_CREATE_CHATFLOW` | Create Chatflow | Creates a new chatflow in FlowiseAI. Chatflows are visual workflows that define AI agent behavior using nodes and edges. Use this to programmatically create single-agent (CHATFLOW) or multi-agent (MULTIAGENT) flows. Only 'name' is required; type defaults to 'CHATFLOW' and flowData defaults to an empty flow structure. | | `FLOWISEAI_CREATE_DOCUMENT_STORE` | Create Document Store | Creates a new document store in FlowiseAI. Document stores are used to manage embeddings and vector data for AI applications. Use this to programmatically create storage for documents that will be embedded and searched. | | `FLOWISEAI_CREATE_LEAD` | Create Lead | Tool to create a new lead in a chatflow. Use when you need to capture lead information from a chat session for follow-up or CRM integration. | | `FLOWISEAI_CREATE_TOOL` | Create Tool | Tool to create a new FlowiseAI tool. Use when you need to create a custom tool with specific name, description, and color. Optionally provide icon URL, JSON schema, or JavaScript function code. | | `FLOWISEAI_CREATE_VARIABLE` | Create Variable | Creates a new variable in FlowiseAI. Variables are used to store configuration values, API keys, and other data that can be referenced across chatflows. Use this to programmatically create string or number variables with optional values. | | `FLOWISEAI_DELETE_CHATFLOW` | Delete Chatflow | Tool to delete a chatflow by its ID. Use after confirming the chatflow ID is correct. | | `FLOWISEAI_DELETE_CHAT_MESSAGES` | Delete Chat Messages | Tool to delete chat messages for a specific chatflow. Use when you need to remove messages based on optional filters. Use after confirming the chatflow ID. | | `FLOWISEAI_DELETE_DOCUMENT_STORE` | Delete Document Store | Tool to delete a specific document store by its ID. Use when you need to permanently remove a document store. This action is destructive and cannot be undone. | | `FLOWISEAI_DELETE_TOOL_BY_ID` | Delete Tool By ID | Permanently deletes a FlowiseAI tool by its unique ID. This action is destructive and cannot be undone. Use FLOWISEAI_LIST_ALL_TOOLS first to verify the correct tool ID before deletion. | | `FLOWISEAI_DELETE_VARIABLE` | Delete Variable | Tool to delete a variable by its unique ID. Use when you need to permanently remove a variable from FlowiseAI. | | `FLOWISEAI_EDIT_DOCUMENT_STORE_FILE_CHUNK` | Edit Document Store File Chunk | Tool to update a specific chunk in a FlowiseAI document store. Use when you need to modify the content or metadata of an existing chunk. At least one of pageContent or metadata must be provided. | | `FLOWISEAI_GET_ALL_CHATFLOWS` | Get All Chatflows | Retrieves all chatflows from the authenticated FlowiseAI account. Use this to list available chatflows, get their IDs for subsequent operations (like update, delete, export), or check chatflow deployment status. Returns an empty list if no chatflows exist. | | `FLOWISEAI_GET_ALL_CHAT_MESSAGE_FEEDBACK` | Get All Chat Message Feedback | Tool to list all chat message feedbacks for a chatflow. Use when you need to view feedback given on messages in a specific chatflow. | | `FLOWISEAI_GET_ALL_LEADS_FOR_CHATFLOW` | Get All Leads for Chatflow | Tool to retrieve all leads for a specific chatflow. Use when you need to see lead information collected from a chatflow's interactions. | | `FLOWISEAI_GET_ALL_UPSERT_HISTORY` | Get All Upsert History | Tool to retrieve all upsert history records for a specific chatflow. Use when you need to view the history of upsert operations. | | `FLOWISEAI_GET_ALL_VARIABLES` | Get All Variables | Tool to retrieve a list of all variables. Use when you need to list all variables available in the FlowiseAI workspace. Returns an empty list if no variables exist. | | `FLOWISEAI_GET_DOCUMENT_STORE_BY_ID` | Get Document Store By ID | Tool to retrieve a document store by its ID. Use when you have a document store ID and need its full details including configuration and status. | | `FLOWISEAI_GET_DOCUMENT_STORE_FILE_CHUNKS` | Get Document Store File Chunks | Tool to get chunks from a specific document loader. Use when you need to retrieve chunked content from a document in a FlowiseAI document store. | | `FLOWISEAI_GET_SINGLE_CHATFLOW` | Get Single Chatflow | Tool to retrieve a chatflow by its ID. Use when you have a chatflow ID and need its full details. | | `FLOWISEAI_GET_TOOL_BY_ID` | Get Tool By ID | Tool to retrieve a specific FlowiseAI tool by its ID. Use when you need detailed metadata of a tool before interacting with it. | | `FLOWISEAI_LIST_ALL_TOOLS` | List All Tools | Tool to retrieve a list of all tools. Use when you need to list every tool available after authentication. | | `FLOWISEAI_LIST_ASSISTANTS` | List Assistants | Tool to retrieve a list of all assistants. Use when you need to list every assistant available in the authenticated FlowiseAI account. | | `FLOWISEAI_LIST_CHAT_MESSAGES` | List Chat Messages | Tool to list chat messages of a chatflow. Use after selecting a chatflow when you need to view its messages. | | `FLOWISEAI_PING_SERVER` | Ping Server | Tool to ping the FlowiseAI server to verify it is running and accessible. Use this to perform a health check before executing other operations or to diagnose connectivity issues. | | `FLOWISEAI_UPDATE_CHATFLOW_DETAILS` | Update Chatflow Details | Tool to update details of an existing chatflow. Use when you have confirmed the chatflow ID and want to modify its fields. | | `FLOWISEAI_UPDATE_DOCUMENT_STORE` | Update Document Store | Tool to update a specific document store. Use when you need to modify properties of an existing document store. | | `FLOWISEAI_UPDATE_TOOL_BY_ID` | Update Tool By ID | Updates a FlowiseAI tool's properties by its ID. Use this to modify tool name, description, color, icon, JSON schema, or JavaScript function code. Requires the tool's UUID from LIST_ALL_TOOLS or GET_TOOL_BY_ID. At least one field must be provided for update. | | `FLOWISEAI_UPDATE_VARIABLE` | Update Variable | Tool to update a variable by its ID. Use when you need to modify a variable's name, value, or type. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Flowiseai MCP server is an implementation of the Model Context Protocol that connects Claude Code (and other AI assistants like Claude and Cursor) directly to your Flowiseai account. It provides structured and secure access so Claude can perform Flowiseai operations on your behalf. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Claude Pro, Max, or API billing enabled Anthropic account - Composio API Key - A Flowiseai account - Basic knowledge of Python or TypeScript ### 1. Install Claude Code To install Claude Code, use one of the following methods based on your operating system: ```bash # macOS, Linux, WSL curl -fsSL https://claude.ai/install.sh | bash # Windows PowerShell irm https://claude.ai/install.ps1 | iex # Windows CMD curl -fsSL https://claude.ai/install.cmd -o install.cmd && install.cmd && del install.cmd ``` ### 2. Set up Claude Code Open a terminal, go to your project folder, and start Claude Code: - Claude Code will open in your terminal - Follow the prompts to sign in with your Anthropic account - Complete the authentication flow - Once authenticated, you can start using Claude Code ```bash cd your-project-folder claude ``` ### 3. Set up environment variables Create a .env file in your project root with the following variables: - COMPOSIO_API_KEY authenticates with Composio (get it from [Composio dashboard](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=claude-code&utm_content=api_key&next=%2F~%2Forg%2Fconnect%2Fclients%2Fclaude-code)) - USER_ID identifies the user for session management (use any unique identifier) ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here ``` ### 4. Install Composio library No description provided. ```python pip install composio-core python-dotenv ``` ```typescript npm install @composio/core dotenv ``` ### 5. Generate Composio MCP URL No description provided. ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["flowiseai"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http flowiseai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['flowiseai'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http flowiseai-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ### 6. Run the script and copy the MCP URL No description provided. ```python python generate_mcp_url.py ``` ```typescript node --loader ts-node/esm generate_mcp_url.ts # or if using tsx tsx generate_mcp_url.ts ``` ### 7. Add Flowiseai MCP to Claude Code In your terminal, add the MCP server using the command from the previous step. The command format is: - claude mcp add registers a new MCP server with Claude Code - --transport http specifies that this is an HTTP-based MCP server - The server name (flowiseai-composio) is how you'll reference it - The URL points to your Composio Tool Router session - --headers includes your Composio API key for authentication After running the command, close the current Claude Code session and start a new one for the changes to take effect. ```bash claude mcp add --transport http flowiseai-composio "YOUR_MCP_URL_HERE" --headers "X-API-Key:YOUR_COMPOSIO_API_KEY" # Then restart Claude Code exit claude ``` ### 8. Verify the installation Check that your Flowiseai MCP server is properly configured. - This command lists all MCP servers registered with Claude Code - You should see your flowiseai-composio entry in the list - This confirms that Claude Code can now access Flowiseai tools If everything is wired up, you should see your flowiseai-composio entry listed: ```bash claude mcp list ``` ### 9. Authenticate Flowiseai The first time you try to use Flowiseai tools, you'll be prompted to authenticate. - Claude Code will detect that you need to authenticate with Flowiseai - It will show you an authentication link - Open the link in your browser (or copy/paste it) - Complete the Flowiseai authorization flow - Return to the terminal and start using Flowiseai through Claude Code Once authenticated, you can ask Claude Code to perform Flowiseai operations in natural language. For example: - "List all chatflows available in my account" - "Clone an existing chatflow for testing" - "Delete chat messages from a specific chatflow" ## Complete Code ```python import os from composio import Composio from dotenv import load_dotenv load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") USER_ID = os.getenv("USER_ID") composio_client = Composio(api_key=COMPOSIO_API_KEY) composio_session = composio_client.create( user_id=USER_ID, toolkits=["flowiseai"], ) COMPOSIO_MCP_URL = composio_session.mcp.url print(f"MCP URL: {COMPOSIO_MCP_URL}") print(f"\nUse this command to add to Claude Code:") print(f'claude mcp add --transport http flowiseai-composio "{COMPOSIO_MCP_URL}" --headers "X-API-Key:{COMPOSIO_API_KEY}"') ``` ```typescript import 'dotenv/config'; import { Composio } from '@composio/core'; const { COMPOSIO_API_KEY, USER_ID } = process.env; if (!COMPOSIO_API_KEY || !USER_ID) { throw new Error('COMPOSIO_API_KEY and USER_ID required in .env'); } const composioClient = new Composio({ apiKey: COMPOSIO_API_KEY }); const composioSession = await composioClient.create(USER_ID, { toolkits: ['flowiseai'], }); const composioMcpUrl = composioSession?.mcp.url; console.log(`MCP URL: ${composioMcpUrl}`); console.log(`\nUse this command to add to Claude Code:`); console.log(`claude mcp add --transport http flowiseai-composio "${composioMcpUrl}" --headers "X-API-Key:${COMPOSIO_API_KEY}"`); ``` ## Conclusion You've successfully integrated Flowiseai with Claude Code using Composio's MCP server. Now you can interact with Flowiseai directly from your terminal using natural language commands. Key features of this setup: - Terminal-native experience without switching contexts - Natural language commands for Flowiseai operations - Secure authentication through Composio's managed MCP - Tool Router for dynamic tool discovery and execution Next steps: - Try asking Claude Code to perform various Flowiseai operations - Add more toolkits to your Tool Router session for multi-app workflows - Integrate this setup into your development workflow for increased productivity You can extend this by adding more toolkits, implementing custom workflows, or building automation scripts that leverage Claude Code's capabilities. ## How to build Flowiseai MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/flowiseai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/flowiseai/framework/claude-agents-sdk) - [Claude Cowork](https://composio.dev/toolkits/flowiseai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/flowiseai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/flowiseai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/flowiseai/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/flowiseai/framework/cli) - [Google ADK](https://composio.dev/toolkits/flowiseai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/flowiseai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/flowiseai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/flowiseai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/flowiseai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/flowiseai/framework/crew-ai) ## Related Toolkits - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient. - [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions. - [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences. - [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement. - [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team. - [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs. - [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code. - [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets. - [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Flowiseai MCP? With a standalone Flowiseai MCP server, the agents and LLMs can only access a fixed set of Flowiseai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Flowiseai and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Claude Code? Yes, you can. Claude Code 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 Flowiseai tools. ### Can I manage the permissions and scopes for Flowiseai while using Tool Router? Yes, absolutely. You can configure which Flowiseai 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 Flowiseai data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)