How to integrate Api ninjas MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Api ninjas to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Api ninjas agent that can get real-time bitcoin price and market data, check if this email is disposable, look up bank info for this bin, fetch gold commodity price right now through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Api ninjas account through Composio's Api ninjas MCP server.

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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Api ninjas
  • Configure an AI agent that can use Api ninjas as a tool
  • Run a live chat session where you can ask the agent to perform Api ninjas operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Api ninjas MCP server, and what's possible with it?

The Api ninjas MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Api ninjas account. It provides structured and secure access to a wide array of real-time data APIs, so your agent can perform actions like fetching financial data, generating barcodes, validating emails, and looking up domains on your behalf.

  • Fetch live financial and crypto data: Instantly retrieve up-to-date prices for stocks, commodities, ETFs, and cryptocurrencies, or access earnings calendars and transcripts for informed decision-making.
  • Barcode generation on demand: Have your agent create barcode images for custom data or text, perfect for inventory, tickets, or quick sharing of encoded information.
  • Email validation and security checks: Automatically check if an email address is disposable or risky before engaging users or sending communications.
  • Bank and payment info lookup: Look up bank details using BIN numbers, helping with payment processing, fraud detection, or financial analysis.
  • Domain and DNS diagnostics: Let your agent perform DNS lookups to fetch domain records, aiding in troubleshooting or technical audits quickly and efficiently.

Supported Tools & Triggers

Tools
Generate Barcode ImageTool to generate a barcode image for specified text.
BIN LookupTool to look up bank information from a bank identification number.
Get Bitcoin Price and Market DataTool to retrieve the latest bitcoin price and 24-hour market data.
Commodity PriceTool to get real-time price for a commodity.
Crypto PriceTool to get real-time price for a cryptocurrency pair.
Check Disposable EmailTool to check whether an email address is from a disposable email provider.
DNS LookupTool to retrieve dns records for a specified domain.
Earnings CalendarTool to fetch past and upcoming earnings results for a specified ticker.
Earnings Call TranscriptTool to get the earnings call transcript for a company and quarter.
ETF InfoTool to get detailed information about an etf by ticker.
Income TaxTool to get current and historical income tax rates for a country.
IBAN LookupTool to look up and validate an international bank account number (iban).
Income Tax CalculatorTool to calculate income taxes for us and canada.
Get Inflation DataTool to get current inflation data for a country.
Interest RateTool to get current interest rates for central banks and benchmarks.
Market CapTool to get real-time market cap data for a company.
Mortgage RateTool to get current and historical mortgage rates.
Extract Nutrition InformationTool to extract nutrition information from text query.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Api ninjas project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Api ninjas.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Api ninjas Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["api_ninjas"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only api_ninjas.
  • The router checks the user's Api ninjas connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Api ninjas.
  • This approach keeps things lightweight and lets the agent request Api ninjas tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Api ninjas. "
        "Help users perform Api ninjas operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Api ninjas and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Api ninjas operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Api ninjas.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Api ninjas and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["api_ninjas"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Api ninjas. "
        "Help users perform Api ninjas operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Api ninjas MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Api ninjas.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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Vercel AI SDK

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Mastra AI

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CrewAI

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Use Api ninjas MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Api ninjas MCP?

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

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Api ninjas tools.

Can I manage the permissions and scopes for Api ninjas while using Tool Router?

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

Used by agents from

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ASU
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glean
HubSpot
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Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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