SIGN UPLOG IN
X (Twitter)LinkedInGitHubDiscordYouTube

How to integrate Agiled MCP with CrewAI

Connect CrewAI to Agiled MCP. Create a new project for client onboarding, list all active deals for this month, and more using natural language, with authentication handled for you.

Get started for freeGet a demo
Agiled logoAgiled
Api Key

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.

18 Tools

Introduction

This guide walks you through connecting Agiled to CrewAI using the Composio tool router. By the end, you'll have a working Agiled agent that can create projects and tasks, log expenses, open support tickets, list invoices and estimates, and review deals and timesheets through natural language commands.

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

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

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Agiled with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexPydantic AIAutoGen

TL;DR

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

The Agiled MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Agiled account. It provides structured and secure access to your projects, tasks, contacts, deals, support tickets, invoices, expenses, estimates, products, employees, users, and timesheets, so your agent can create projects and tasks, open support tickets, retrieve business records, and review work activity on your behalf.

  • Project and task management: Have your agent create projects and tasks, or retrieve your current projects and task lists.
  • CRM and sales tracking: Let the agent retrieve contacts and deals to help you review customer relationships and sales activity.
  • Finance and product visibility: Direct your agent to retrieve invoices, estimates, expenses, products, and supported currencies.
  • Support ticket handling: Instruct your agent to create new support tickets or retrieve existing tickets for review.
  • Team and time oversight: Have your agent retrieve employees, users, and project timesheets to help you understand team activity.

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 Agiled 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 Agiled 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 Agiled MCP URL
6

Create a Composio Tool Router session for Agiled

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

url = session.mcp.url
What's happening:
  • You create a Agiled only session through Composio
  • Composio returns an MCP HTTP URL that exposes Agiled 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 Agiled 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=["agiled"],
)
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 Agiled through Composio's Tool Router. The agent can perform Agiled 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 Agiled action and event your agent gets out of the box.

Create Expense

Tool to create a new expense in Agiled.

Create Project

Tool to create a new project in Agiled.

Create Task

Tool to create a new task in Agiled.

Create Ticket

Tool to create a new support ticket in Agiled.

Get Contacts

Retrieve a page of contacts from Agiled, with optional pagination and search filters.

Get Currencies

List available currencies from Agiled.

Get Deals

Tool to retrieve a list of all deals.

Get Employees

Tool to retrieve a list of all employees.

Get Estimates

Retrieve a page of estimates from Agiled for reporting, with pagination options.

Get Expenses

Tool to retrieve a list of all expenses.

Get Invoices

Tool to retrieve a list of all invoices from Agiled.

Get Products

Tool to retrieve a list of all products.

Get Project Categories

Tool to retrieve a list of all project categories.

Get Projects

Tool to retrieve a list of all projects.

GET_TASKS

Tool to retrieve a list of all tasks.

Get Tickets

Tool to retrieve a list of all tickets.

Get Timesheets

Tool to retrieve timesheets for a project.

Get Users

Tool to retrieve a list of users from Agiled.

FRAMEWORKS

How to build Agiled MCP Agent with another framework

Claude Code logo

Claude Code

Use Agiled MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Agiled MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Agiled MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Agiled MCP with Claude Agent SDK

Codex logo

Codex

Use Agiled MCP with Codex

OpenClaw logo

OpenClaw

Use Agiled MCP with OpenClaw

Hermes logo

Hermes

Use Agiled MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Agiled MCP with Atomic Agent

Google ADK logo

Google ADK

Use Agiled MCP with Google ADK

LangChain logo

LangChain

Use Agiled MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Agiled MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Agiled MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Agiled MCP with LlamaIndex

Pydantic AI logo

Pydantic AI

Use Agiled MCP with Pydantic AI

AutoGen logo

AutoGen

Use Agiled MCP with AutoGen

FAQ

Frequently asked questions

Start with Agiled.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Agiled tool your agent needs.Free to start.

Start building