# How to integrate Appointo MCP with CrewAI ```json { "title": "How to integrate Appointo MCP with CrewAI", "toolkit": "Appointo", "toolkit_slug": "appointo", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/appointo/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/appointo/framework/crew-ai.md", "updated_at": "2026-10-04T17:21:05.952Z" } ``` ## Introduction This guide walks you through connecting Appointo to CrewAI using the Composio tool router. By the end, you'll have a working Appointo agent that can list all upcoming appointments for today, reschedule a customer booking to next week, create a new appointment for a client through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Appointo account through Composio's Appointo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Appointo with - [Claude Code](https://composio.dev/toolkits/appointo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/appointo/framework/claude-cowork) - [OpenAI Agents SDK](https://composio.dev/toolkits/appointo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/appointo/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/appointo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/appointo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/appointo/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/appointo/framework/atomic-agent) - [Google ADK](https://composio.dev/toolkits/appointo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/appointo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/appointo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/appointo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/appointo/framework/llama-index) - [Pydantic AI](https://composio.dev/toolkits/appointo/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/appointo/framework/autogen) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Appointo connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Appointo - Build a conversational loop where your agent can execute Appointo operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Appointo MCP server, and what's possible with it? The Appointo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Appointo account. It provides structured and secure access to your appointments, bookings, and calendar availability, so your agent can check open times, create bookings, reschedule appointments, update booking buffers, and cancel bookings on your behalf. - Appointment and booking lookup: Have your agent list appointments and bookings whenever you need a clear view of the schedule. - Availability checks: Let the agent check calendar availability for a specific appointment before choosing a time. - Booking creation: Direct your agent to create a new booking for an available appointment. - Booking changes: Instruct your agent to reschedule an existing booking or update its buffer times when plans change. - Booking cancellations: Have your agent cancel an entire booking or cancel it for selected customers. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `APPOINTO_AUTHENTICATE` | Authenticate Appointo API Token | Tool to authenticate with the Appointo API by validating the APPOINTO-TOKEN header. Use when verifying the token before subsequent API calls. | | `APPOINTO_CANCEL_BOOKING` | Cancel Booking | Tool to cancel a booking or selected customers. Use when you need to revoke an entire booking or individual attendees after verifying booking details. Use after retrieving booking information. | | `APPOINTO_CREATE_BOOKING` | Create Booking | Tool to create a new booking. Use when scheduling a customer booking after confirming appointment availability. | | `APPOINTO_GET_APPOINTMENT_AVAILABILITY` | Get Appointment Availability | Tool to get calendar availability for a specific appointment. Use when you need to fetch available time slots for an appointment within a date range. | | `APPOINTO_LIST_APPOINTMENTS` | List Appointments | Tool to list appointments. Use when fetching appointments with optional filters and pagination after confirming a valid API token. | | `APPOINTO_LIST_BOOKINGS` | List Bookings | Tool to list bookings. Use when you need to fetch bookings filtered by status, paging, or search term. | | `APPOINTO_LIST_PRODUCTS` | List Products | Tool to fetch all available products. Use when browsing products with optional paging and search. Call after authenticating with Appointo API. | | `APPOINTO_LIST_SUBSCRIPTION_CONTRACTS` | List Subscription Contracts | Tool to list subscription contracts. Use when retrieving contracts with optional search after confirming a valid API token. | | `APPOINTO_RESCHEDULE_BOOKING` | Reschedule Booking | Tool to reschedule an existing booking to a new timeslot. Use after confirming new timeslot availability. | | `APPOINTO_UPDATE_BOOKING` | Update Booking Buffers | Tool to update buffer times for an existing booking. Use after confirming new buffer durations. | | `APPOINTO_UPSERT_APPOINTMENT_CONFIG` | Upsert Appointment Configuration | Tool to upsert availability config for an appointment. Use when setting or updating appointment availability settings. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Appointo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Appointo. It provides structured and secure access so your agent can perform Appointo 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 starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Appointo connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 dependencies **What's happening:** - composio connects your agent to Appointo via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Appointo MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Appointo **What's happening:** - You create a Appointo only session through Composio - Composio returns an MCP HTTP URL that exposes Appointo tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["appointo"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["appointo"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Appointo through Composio's Tool Router. The agent can perform Appointo operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Appointo MCP Agent with another framework - [Claude Code](https://composio.dev/toolkits/appointo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/appointo/framework/claude-cowork) - [OpenAI Agents SDK](https://composio.dev/toolkits/appointo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/appointo/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/appointo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/appointo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/appointo/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/appointo/framework/atomic-agent) - [Google ADK](https://composio.dev/toolkits/appointo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/appointo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/appointo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/appointo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/appointo/framework/llama-index) - [Pydantic AI](https://composio.dev/toolkits/appointo/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/appointo/framework/autogen) ## Related Toolkits - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management. - [Bart](https://composio.dev/toolkits/bart) - Bart is the Bay Area Rapid Transit system, providing fast public transportation across the San Francisco Bay Area. It helps commuters and travelers get real-time schedule info, plan routes, and stay updated on service changes. - [Blue Pillow Hotels & Stays](https://composio.dev/toolkits/bluepillow) - Blue Pillow Hotels & Stays is a hotel and stay discovery platform offering live offers, recommendations, and booking handoff. It helps surface and compare real-time deals and validate bookings for smoother reservations. - [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website. - [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease. - [Cal](https://composio.dev/toolkits/cal) - Cal is a meeting scheduling platform that offers shareable booking links and real-time calendar syncing. It streamlines the process of finding mutual availability to make scheduling effortless. - [Calendarhero](https://composio.dev/toolkits/calendarhero) - Calendarhero is a powerful scheduling platform that streamlines your calendar management across multiple services. It helps you efficiently schedule, reschedule, and organize meetings without the back-and-forth. - [Calendly](https://composio.dev/toolkits/calendly) - Calendly is an appointment scheduling tool that automates meeting invitations, availability checks, and reminders. It helps individuals and teams avoid endless email back-and-forth when booking meetings. - [Calendly MCP](https://composio.dev/toolkits/calendly_mcp) - Calendly is an appointment scheduling platform that manages event types, availability, and invites. Use it to automate booking, reduce back-and-forth, and surface open times quickly. - [Check Cherry](https://composio.dev/toolkits/check_cherry) - Check Cherry is a business management platform for photography and event service companies. It helps teams manage leads, bookings, appointments, offerings, payments, and workflows in one place. - [Cronfree Time Scheduler](https://composio.dev/toolkits/cronfree_time_scheduler) - Cronfree Time Scheduler is an API-based scheduler for recurring webhook calls. Use it to create and remove timezone-aware schedules without running cron. - [Etermin](https://composio.dev/toolkits/etermin) - eTermin is an online appointment scheduling platform for businesses to manage bookings. It streamlines client appointments, saving time and reducing scheduling conflicts. - [Evenium](https://composio.dev/toolkits/evenium) - Evenium is an all-in-one platform for managing professional events, from planning to analysis. It helps teams simplify event logistics, boost engagement, and track every detail in one place. - [Eventee](https://composio.dev/toolkits/eventee) - Eventee is a user-friendly event management platform for mobile and web. It boosts attendee engagement for in-person, virtual, and hybrid events. - [Eventzilla](https://composio.dev/toolkits/eventzilla) - Eventzilla is an event management platform for creating, promoting, and running events. It streamlines ticketing, registration, and attendee coordination for organizers. - [GoTable](https://composio.dev/toolkits/go_table) - GoTable is a restaurant management REST API for reservations, tables, guests, offers, availability, and webhooks. Use it to programmatically manage bookings, guest data, offers, and table availability. - [Humanitix](https://composio.dev/toolkits/humanitix) - Humanitix is a not-for-profit ticketing platform that donates 100% of profits to charity. It empowers event organizers to make social impact with every ticket sold. - [Ignav Flights](https://composio.dev/toolkits/ignav_flights) - Ignav Flights is a flight search API for airports, fares, itineraries, and booking links. It helps apps compare routes and prices fast, so travelers can find practical options sooner. - [Jinko](https://composio.dev/toolkits/jinko) - Jinko is a travel API platform offering flight and hotel discovery, trip management, ancillaries, and hosted checkout. Use it to unify search, reservations, ancillaries, and hosted checkout into a single travel API. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Appointo MCP? With a standalone Appointo MCP server, the agents and LLMs can only access a fixed set of Appointo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Appointo and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 Appointo tools. ### Can I manage the permissions and scopes for Appointo while using Tool Router? Yes, absolutely. You can configure which Appointo 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 Appointo data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)