How to integrate OneSimpleAPI MCP with CrewAI

This guide walks you through connecting OneSimpleAPI to CrewAI using the Composio tool router. By the end, you'll have a working OneSimpleAPI agent that can create qr codes, generate pdfs, capture screenshots, convert currencies, and create short urls through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a OneSimpleAPI account through Composio's OneSimpleAPI MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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OneSimpleAPI is a utility API platform for web content, images, PDFs, QR codes, URL tools, validation, exchange rates, and file management. It gives developers one simple API key for many common backend tasks.

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Introduction

This guide walks you through connecting OneSimpleAPI to CrewAI using the Composio tool router. By the end, you'll have a working OneSimpleAPI agent that can create qr codes, generate pdfs, capture screenshots, convert currencies, and create short urls through natural language commands.

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

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

Also integrate OneSimpleAPI 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 OneSimpleAPI connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for OneSimpleAPI
  • Build a conversational loop where your agent can execute OneSimpleAPI 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 OneSimpleAPI MCP server, and what's possible with it?

The OneSimpleAPI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your OneSimpleAPI account. It provides structured and secure access to web, image, document, URL, validation, currency, and file utilities, so your agent can capture webpages, transform images, generate PDFs and QR codes, manage short links, and validate content on your behalf.

  • Web captures and PDF creation: Have your agent capture screenshots of webpages or raw HTML, or turn that content into hosted PDF files.
  • Image inspection and transformation: Let the agent inspect image dimensions and metadata, then resize, crop, rotate, flip, filter, add borders, or optimize images.
  • QR codes and short links: Direct your agent to generate hosted QR codes, create configurable short links, expand shortened links, and review link click statistics.
  • Content and data checks: Instruct your agent to analyze text readability and sentiment, validate email addresses, convert colors, and inspect image details.
  • Currency, pricing, and file management: Have your agent convert currencies, calculate localized pricing discounts, list generated files, and delete files you no longer need.

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 OneSimpleAPI 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 OneSimpleAPI 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 OneSimpleAPI MCP URL
6

Create a Composio Tool Router session for OneSimpleAPI

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

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

Analyze Readability

Analyze text for readability, grade level, reading time, difficult-word counts, and sentiment.

Calculate PPP Discount

Calculate a purchasing-power-parity discount and localized price between an origin and a destination country.

Capture Screenshot

Capture a webpage URL or raw HTML as a hosted screenshot and return its URL and rendering metadata.

Convert Currency

Convert an amount between supported currencies and return the converted value and exchange rate.

Create Short URL

Create a OneSimpleAPI short URL with optional one-time-use, redirect, query-forwarding, and active-date controls.

Delete File

Delete a generated OneSimpleAPI file by its hosted URL and return the updated file record.

Expand Short URL

Resolve a shortened URL and return its final URL, redirect count, and redirect trace.

Generate or Convert Color

Generate a deterministic color palette from text or convert a supplied color into HEX, RGB, HSL, and related palette values.

Generate PDF

Generate a PDF from either a webpage URL or raw HTML and return the hosted PDF URL and page metadata.

Generate QR Code

Generate a hosted PNG or SVG QR code for a message and return its URL.

Get Image Information

Extract dimensions, image metadata, EXIF camera fields, and available GPS details from an image URL.

List Files

Return one page of generated files owned by the connected account, optionally filtered by live or deleted status.

List Short URLs

Return one page of OneSimpleAPI short URLs and their click statistics.

Transform Image

Resize, crop, rotate, flip, filter, border, optimize, and host an image, returning the generated image URL and metadata.

Validate Email

Validate an email address and assess its domain, MX records, deliverability, disposability, role status, and registration safety.

FRAMEWORKS

How to build OneSimpleAPI MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use OneSimpleAPI MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use OneSimpleAPI MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use OneSimpleAPI MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use OneSimpleAPI MCP with Claude Cowork

Codex logo

Codex

Use OneSimpleAPI MCP with Codex

OpenClaw logo

OpenClaw

Use OneSimpleAPI MCP with OpenClaw

Hermes logo

Hermes

Use OneSimpleAPI MCP with Hermes

CLI logo

CLI

Use OneSimpleAPI MCP with CLI

Google ADK logo

Google ADK

Use OneSimpleAPI MCP with Google ADK

LangChain logo

LangChain

Use OneSimpleAPI MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use OneSimpleAPI MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use OneSimpleAPI MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use OneSimpleAPI MCP with LlamaIndex

FAQ

Frequently asked questions

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

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

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