# How to integrate IBM X-Force Exchange MCP with Pydantic AI

```json
{
  "title": "How to integrate IBM X-Force Exchange MCP with Pydantic AI",
  "toolkit": "IBM X-Force Exchange",
  "toolkit_slug": "ibm_x_force_exchange",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/ibm_x_force_exchange/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/ibm_x_force_exchange/framework/pydantic-ai.md",
  "updated_at": "2026-03-29T06:38:05.210Z"
}
```

## Introduction

This guide walks you through connecting IBM X-Force Exchange to Pydantic AI using the Composio tool router. By the end, you'll have a working IBM X-Force Exchange agent that can get threat intelligence for domain example.com, enrich this hash with threat context, search for recent malware collections through natural language commands.
This guide will help you understand how to give your Pydantic AI agent real control over a IBM X-Force Exchange account through Composio's IBM X-Force Exchange MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate IBM X-Force Exchange with

- [OpenAI Agents SDK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/ibm_x_force_exchange/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/ibm_x_force_exchange/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/ibm_x_force_exchange/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/ibm_x_force_exchange/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/ibm_x_force_exchange/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/ibm_x_force_exchange/framework/cli)
- [Google ADK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/ibm_x_force_exchange/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/ibm_x_force_exchange/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/ibm_x_force_exchange/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/ibm_x_force_exchange/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for IBM X-Force Exchange
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your IBM X-Force Exchange workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## What is the IBM X-Force Exchange MCP server, and what's possible with it?

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

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `IBM_X_FORCE_EXCHANGE_GET_CASEFILES_PUBLIC` | Get Latest Public Collections | Tool to retrieve latest public Collections from IBM X-Force Exchange. Use when you need to access publicly available collections without pagination. For fetching all public collections, consider using the paginated endpoint instead. |
| `IBM_X_FORCE_EXCHANGE_GET_CASEFILES_PUBLIC_PAGINATED` | Get Public Collections Paginated | Tool to retrieve all public Collections using pagination from IBM X-Force Exchange. Use when you need to access publicly available collections with pagination support. Returns a list of publicly accessible case files with pagination metadata. |
| `IBM_X_FORCE_EXCHANGE_GET_IPR_CATEGORIES` | Get IPR Category List | Tool to retrieve the complete list of IP reputation categories from IBM X-Force Exchange. Use when you need to understand available IPR classification categories used by XFE. |
| `IBM_X_FORCE_EXCHANGE_GET_URL_CATEGORIES` | Get URL Category List | Tool to retrieve the complete list of URL categories from IBM X-Force Exchange. Use when you need to understand available URL classification categories used by XFE. |
| `IBM_X_FORCE_EXCHANGE_GET_USER_PROFILE_INFORMATION` | Get User Profile Information | Tool to retrieve authenticated user's profile information from IBM X-Force Exchange. Use when you need to access user account details, membership statistics, or integration configurations. |
| `IBM_X_FORCE_EXCHANGE_GET_CURRENT_API_VERSION` | Get Current API Version | Tool to retrieve current running API version information from IBM X-Force Exchange. Use when you need to check the API version, build number, or creation date. |
| `IBM_X_FORCE_EXCHANGE_GENERATE_API_KEY_AND_PASSWORD` | Generate API Key and Password | Tool to generate a new API key and password pair for IBM X-Force Exchange authentication. Use when you need to create new credentials for API access. The generated credentials do not expire and can be used with Basic Authentication. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The IBM X-Force Exchange MCP server is an implementation of the Model Context Protocol that connects your AI agent to IBM X-Force Exchange. It provides structured and secure access so your agent can perform IBM X-Force Exchange operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like IBM X-Force Exchange
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to IBM X-Force Exchange
- MCPServerStreamableHTTP connects to the IBM X-Force Exchange MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

What's happening:
- We're creating a Tool Router session that gives your agent access to IBM X-Force Exchange tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for IBM X-Force Exchange
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ibm_x_force_exchange"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the IBM X-Force Exchange endpoint
- The agent uses GPT-5 to interpret user commands and perform IBM X-Force Exchange operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
ibm_x_force_exchange_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[ibm_x_force_exchange_mcp],
    instructions=(
        "You are a IBM X-Force Exchange assistant. Use IBM X-Force Exchange tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- IBM X-Force Exchange API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with IBM X-Force Exchange.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for IBM X-Force Exchange
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ibm_x_force_exchange"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    ibm_x_force_exchange_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[ibm_x_force_exchange_mcp],
        instructions=(
            "You are a IBM X-Force Exchange assistant. Use IBM X-Force Exchange tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with IBM X-Force Exchange.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You've built a Pydantic AI agent that can interact with IBM X-Force Exchange through Composio's Tool Router. With this setup, your agent can perform real IBM X-Force Exchange actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + IBM X-Force Exchange for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build IBM X-Force Exchange MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/ibm_x_force_exchange/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/ibm_x_force_exchange/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/ibm_x_force_exchange/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/ibm_x_force_exchange/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/ibm_x_force_exchange/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/ibm_x_force_exchange/framework/cli)
- [Google ADK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/ibm_x_force_exchange/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/ibm_x_force_exchange/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/ibm_x_force_exchange/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/ibm_x_force_exchange/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/ibm_x_force_exchange/framework/crew-ai)

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- [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and IBM X-Force Exchange MCP?

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

### Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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 IBM X-Force Exchange tools.

### Can I manage the permissions and scopes for IBM X-Force Exchange while using Tool Router?

Yes, absolutely. You can configure which IBM X-Force Exchange 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 IBM X-Force Exchange data and credentials are handled as safely as possible.

---
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