How to integrate Celigo MCP with CrewAI

This guide walks you through connecting Celigo to CrewAI using the Composio tool router. By the end, you'll have a working Celigo agent that can list failed celigo flows today, restart failed netsuite shopify syncs, check recent celigo job errors through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Celigo account through Composio's Celigo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Celigo is an integration platform as a service for connecting apps, data, and business workflows. It helps teams automate cross-system processes without building every integration from scratch.

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Introduction

This guide walks you through connecting Celigo to CrewAI using the Composio tool router. By the end, you'll have a working Celigo agent that can list failed celigo flows today, restart failed netsuite shopify syncs, check recent celigo job errors through natural language commands.

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

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

Also integrate Celigo with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

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

The Celigo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Celigo account. It provides structured and secure access so your agent can perform Celigo operations on your behalf.

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 Celigo 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 Celigo 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 Celigo MCP URL
6

Create a Composio Tool Router session for Celigo

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

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

Assign Export Error

Tool to assign an export error to a user in Celigo.

Clone Export

Tool to clone a specific export to create a copy.

Clone Flow

Tool to clone a specific flow to create a copy.

Clone Import

Tool to clone a specific import to create a copy with remapped connections.

Clone Integration

Tool to clone a specific integration to create a copy.

Create Connection

Tool to create a new connection in Celigo to store credentials and application access information.

Create Export

Tool to create a new export in Celigo for extracting data from an application.

Create File Definition

Tool to create a file definition in Celigo for defining data file structure and format.

Create Flow

Tool to create a new flow in Celigo that composes export and import components together.

Create iClient

Tool to create a new iClient for SmartConnector authentication in Celigo.

Create Import

Tool to create a new import for inserting data into an application.

Create Integration

Tool to create a new integration in Celigo to group flows together.

Create Integration Revision

Tool to create a snapshot revision of a specific integration.

Create Script

Tool to create a new custom JavaScript script in Celigo for data transformation operations.

Create Tag

Tool to create a new tag in Celigo for organizing and categorizing resources.

Delete All Resource State

Tool to delete all state keys and values stored under a specific resource.

Delete All State

Tool to delete all global state keys and values in Celigo.

Delete Connection

Tool to delete a specific connection in Celigo.

Delete Export

Tool to delete a specific export from Celigo.

Delete Flow

Tool to delete a specific flow from Celigo.

Delete iClient

Tool to delete a specific iClient from Celigo.

Delete Import

Tool to delete a specific import from Celigo integrator.

Delete Integration

Tool to delete a specific integration from Celigo integrator.

Delete Resolved Errors

Tool to delete resolved errors for a specific export in Celigo.

Delete Resource State Value

Tool to delete the resource-specific key and value from state.

Delete Script

Tool to delete a specific script from Celigo.

Delete State Value

Tool to delete the specified state key and its value.

Delete Tag

Tool to delete a specific tag from Celigo integrator.

Delete User

Tool to delete a specific user from your Celigo account.

Evaluate Virtual Import Map

Evaluate the mapping step of a virtual import and return post-mapped records.

Execute Virtual Export

Execute a virtual export using a connection by posting the export model.

Execute Virtual Import

Tool to execute a virtual import by posting import configuration and data to a connection.

Virtual Export with Paging

Tool to execute a virtual export with paging support for Celigo connections.

Generate Structured File

Tool to generate sample EDI data or structured files from input data.

Get Connection by ID

Tool to get a specific connection by its ID.

Get Connection Audit Logs

Tool to retrieve audit logs for a specific connection.

Get Connection Debug Logs

Tool to retrieve debug logs for a connection by its ID.

Get Connection Dependencies

Tool to retrieve all resources using or used by a specific connection.

Get EDI Profiles

Tool to retrieve all EDI profiles for the account.

Get Export

Tool to retrieve a specific export by its ID from Celigo Integrator.

Get Export Audit Log

Tool to retrieve audit logs for a specific export in Celigo.

Get Export Errors

Tool to retrieve all open errors for a specific export within a flow.

Get File Definition

Tool to retrieve a specific file definition by its ID from Celigo Integrator.

Get File Definitions

Tool to retrieve all file definitions from Celigo.

Get Flow by ID

Tool to retrieve a specific Celigo flow by its ID.

Get Flow Audit Logs

Tool to retrieve audit logs for a specific flow.

Get Flow Dependencies

Tool to retrieve all resources using or used by a specific flow.

Get Flow Descendants

Tool to retrieve all descendant resources of a specific flow.

Get Flow Last Export Datetime

Tool to retrieve the last export datetime for a specific Celigo flow.

Get Flow Latest Jobs

Tool to retrieve the latest job executions for a specific flow.

Get Flow Template

Tool to download a Celigo flow as a template.

Get iClient by ID

Tool to get a specific iClient by its ID.

Get Import

Tool to retrieve a specific import by its ID from the Celigo Integrator API.

Get Import Audit Logs

Tool to retrieve audit logs for a specific import.

Get Import Dependencies

Tool to retrieve all resources using or used by a specific import.

Get Integration Audit Logs

Tool to retrieve audit logs for a specific integration.

Get Integration Connections

Tool to retrieve all connections associated with a specific integration.

Get Integration Dependencies

Tool to retrieve all resources using or used by a specific integration.

Get Integration Errors

Tool to retrieve all open errors for a specific integration in Celigo.

Get Integration Exports

Tool to retrieve all exports associated with a specific integration.

Get Integration Flows

Tool to retrieve all flows associated with a specific integration.

Get Integration Imports

Tool to retrieve all imports associated with a specific integration.

Get Integration Template

Tool to download a Celigo integration as a template.

Get Integration Users

Tool to retrieve users associated with a specific integration.

Get Job Errors

Tool to retrieve errors for a specific job in Celigo.

Get Resolved Errors

Tool to retrieve resolved errors for a specific export within a flow in Celigo.

Get Resource State Value

Tool to get the resource-specific value associated with a state key.

Get Script

Tool to retrieve a specific script by its ID from Celigo.

Get Script Logs

Tool to retrieve logs for a specific Celigo script by its ID.

Get State Value

Tool to get the value associated with a specified state key.

Get Tag

Tool to retrieve a specific tag by its ID from Celigo Integrator.

Get Tags

Tool to retrieve all tags from Celigo.

Get Token Info

Tool to retrieve information about the current API token.

Get User Share

Tool to retrieve a specific user share (ashare) by its ID.

Get All Users

Tool to retrieve all users from your Celigo account.

Invite Multiple Users

Tool to invite multiple users to a Celigo account with specified access levels.

Invite User

Tool to invite a user to a Celigo account with specified access levels.

Invoke Import

Tool to trigger/invoke a Celigo import by its ID.

List Audit Logs

Tool to retrieve all audit logs for resource changes.

List Connections

Tool to retrieve all connections in Celigo.

List Exports

Tool to retrieve all exports from Celigo integrator.

List Flows

Tool to retrieve all flows from Celigo.

List iClients

Tool to retrieve all iClients in Celigo.

List Imports

Tool to retrieve all imports from Celigo integrator.

List Integrations

Tool to retrieve all integrations from Celigo.

List Jobs

Fetches one page of jobs from Celigo with optional filters.

List Licenses

Tool to retrieve all SmartConnector licenses in Celigo.

List Resource State

Tool to retrieve all state keys for a specific resource in Celigo.

List State Keys

Tool to retrieve all global state keys from Celigo.

Parse CSV to JSON

Tool to convert CSV data to JSON format using Celigo's CSV parser.

Parse Structured File

Tool to convert EDI or structured file data (delimited or fixed-width) to JSON format.

Parse XML to JSON

Tool to convert XML data to JSON format using Celigo's XML parser processor.

Patch Connection

Tool to update part of a connection using JSON Patch operations (RFC 6902).

Patch Export

Tool to update specific fields of an export using JSON Patch operations.

Patch Flow

Tool to update part of a specific flow using JSON Patch operations (RFC 6902).

Patch iClient

Tool to update part of an iClient using JSON Patch operations (RFC 6902).

Patch Import

Tool to update specific fields of an import using JSON Patch operations.

Patch Integration

Tool to update part of an integration using JSON Patch operations (RFC 6902).

Ping Connection

Test that a specific Celigo connection is operational by pinging it.

Register Connection

Tool to register a connection to an integration in Celigo.

Register Connections Bulk

Tool to register multiple connections to an integration in Celigo at once.

Resolve Errors

Tool to resolve specified errors for an export in Celigo.

Retry Errors

Tool to retry specified errors for an export in Celigo.

Test Virtual Connection

Test a virtual connection where all details are submitted in the POST body but not saved.

Unregister Connection from Integration

Tool to unregister a connection from an integration in Celigo.

Update Connection

Tool to update a connection's configuration or credentials in Celigo.

Update Export

Tool to update an existing export configuration in Celigo.

Update Flow

Tool to update a specific flow's configuration in Celigo.

Update Flow Error Tags

Tool to update error tags for a specific flow export in Celigo.

Update iClient

Tool to update a specific iClient's configuration in Celigo.

Update Import

Tool to update a specific import's configuration in Celigo.

Update Integration

Tool to update a specific integration's configuration in Celigo.

Update Resource State Value

Tool to create or update the resource-specific state value for any Celigo resource type.

Update Script

Tool to update a specific script's code or configuration in Celigo.

Update State Value

Tool to create or update the value associated with a specified state key.

Update Tag

Tool to update a tag's name in Celigo.

Update User

Tool to update a specific user's account in Celigo.

FRAMEWORKS

How to build Celigo MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Celigo MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Celigo MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Celigo MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Celigo MCP with Claude Cowork

Codex logo

Codex

Use Celigo MCP with Codex

OpenClaw logo

OpenClaw

Use Celigo MCP with OpenClaw

Hermes logo

Hermes

Use Celigo MCP with Hermes

CLI logo

CLI

Use Celigo MCP with CLI

Google ADK logo

Google ADK

Use Celigo MCP with Google ADK

LangChain logo

LangChain

Use Celigo MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Celigo MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Celigo MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Celigo MCP with LlamaIndex

FAQ

Frequently asked questions

With a standalone Celigo MCP server, the agents and LLMs can only access a fixed set of Celigo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Celigo 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 Celigo tools.

Yes, absolutely. You can configure which Celigo 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 Celigo data and credentials are handled as safely as possible.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies