How to integrate Human Approval - HITL Platform MCP with CrewAI

This guide walks you through connecting Human Approval - HITL Platform to CrewAI using the Composio tool router. By the end, you'll have a working Human Approval - HITL Platform agent that can request human approval, review approval requests, cancel requests, manage loops, and list loop members through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Human Approval - HITL Platform account through Composio's Human Approval - HITL Platform MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Human Approval - HITL Platform logoHuman Approval - HITL Platform
Api Key

Human Approval - HITL Platform is a HITL.sh service for adding human approval and review workflows to AI agents. Use it to pause risky automations, collect structured decisions, and resume safely.

10 Tools

Introduction

This guide walks you through connecting Human Approval - HITL Platform to CrewAI using the Composio tool router. By the end, you'll have a working Human Approval - HITL Platform agent that can request human approval, review approval requests, cancel requests, manage loops, and list loop members through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Human Approval - HITL Platform account through Composio's Human Approval - HITL Platform MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Human Approval - HITL Platform with

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Human Approval - HITL Platform connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Human Approval - HITL Platform
  • Build a conversational loop where your agent can execute Human Approval - HITL Platform 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 Human Approval - HITL Platform MCP server, and what's possible with it?

The Human Approval - HITL Platform MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Human Approval - HITL Platform account. It provides structured and secure access to your human approval loops and review requests, so your agent can organize reviewers, request decisions, track responses, cancel pending reviews, and manage approval loops on your behalf.

  • Approval loop management: Have your agent create, rename, describe, list, or permanently delete approval loops for different teams and workflows.
  • Reviewer readiness checks: Let the agent list active and pending reviewers in a loop before sending work for human approval.
  • Human approval requests: Direct your agent to create and broadcast structured approval requests to the active reviewers in a chosen loop.
  • Decision tracking and cancellation: Instruct your agent to check an approval request's status and human response, list previous requests, or cancel a pending request.
  • Account and allowance checks: Have your agent verify the connected account's status, permissions, and remaining request allowance before asking for approval.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Human Approval - HITL Platform connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Human Approval - HITL Platform via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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
5

Import dependencies

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")
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 Human Approval - HITL Platform MCP URL
6

Create a Composio Tool Router session for Human Approval - HITL Platform

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["hitl"])

url = session.mcp.url
What's happening:
  • You create a Human Approval - HITL Platform only session through Composio
  • Composio returns an MCP HTTP URL that exposes Human Approval - HITL Platform tools
7

Initialize the MCP Server

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,
    )
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.
8

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

Here's the complete code to get you started with Human Approval - HITL Platform and CrewAI:

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=["hitl"],
)
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 Human Approval - HITL Platform through Composio's Tool Router. The agent can perform Human Approval - HITL Platform 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
TOOLS

Supported Tools

Every Human Approval - HITL Platform action and event your agent gets out of the box.

Cancel Approval Request

Irreversibly cancel a pending approval request so reviewers can no longer complete it.

Create Approval Request

Create and broadcast one human approval request to active members of an owned loop, consuming one provider request allowance.

Create Loop

Create an approval loop and return its loop ID and human invitation links; the connected account is added as an active member.

Delete Loop

Permanently delete an owned loop and all of its memberships, approval requests, responses, feedback, and analytics.

Get Account Status

Return the connected HITL account identity, status, permissions, and provider-reported request allowance before creating an approval request.

Get Approval Request

Get the current status, configuration, and human response for one approval request; use for deliberate polling after creation.

List Approval Requests

Return approval requests created by the connected API key, optionally restricted to one loop; pagination controls are omitted because the live API currently ignores them.

List Loop Members

Return a loop's active and pending human reviewers so an agent can verify readiness before broadcasting an approval request.

List Loops

Return all approval loops owned by the connected account, including embedded members and membership counts.

Update Loop

Update one or more display fields of an owned approval loop without changing its members or requests.

FAQ

Frequently asked questions

With a standalone Human Approval - HITL Platform MCP server, the agents and LLMs can only access a fixed set of Human Approval - HITL Platform tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Human Approval - HITL Platform and many other apps based on the task at hand, all through a single MCP endpoint.

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 Human Approval - HITL Platform tools.

Yes, absolutely. You can configure which Human Approval - HITL Platform 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.

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 Human Approval - HITL Platform data and credentials are handled as safely as possible.

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