# How to integrate Ip2proxy MCP with CrewAI ```json { "title": "How to integrate Ip2proxy MCP with CrewAI", "toolkit": "Ip2proxy", "toolkit_slug": "ip2proxy", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/ip2proxy/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/ip2proxy/framework/crew-ai.md", "updated_at": "2026-05-12T10:16:14.709Z" } ``` ## Introduction This guide walks you through connecting Ip2proxy to CrewAI using the Composio tool router. By the end, you'll have a working Ip2proxy agent that can check if this ip is a vpn, detect tor usage for given ip, identify proxy servers in user logins through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Ip2proxy account through Composio's Ip2proxy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Ip2proxy with - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2proxy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2proxy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2proxy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2proxy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2proxy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2proxy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2proxy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2proxy/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2proxy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2proxy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2proxy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2proxy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2proxy/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Ip2proxy connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Ip2proxy - Build a conversational loop where your agent can execute Ip2proxy 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 Ip2proxy MCP server, and what's possible with it? The Ip2proxy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ip2proxy account. It provides structured and secure access to IP proxy detection services, so your agent can identify proxy usage, detect VPNs, spot TOR nodes, and flag suspicious IPs on your behalf. - Instant proxy status checks: Your agent can determine if any given IP address is associated with an anonymous proxy, VPN, or TOR exit node. - Automated threat intelligence: Effortlessly screen and flag risky IPs to prevent fraudulent access, spam, or abuse. - Real-time user verification: Let your agent verify incoming IP addresses on sign-up or login to detect suspicious users in real time. - Enhanced bot and crawler detection: Identify search engine robots and residential proxies to tailor user experiences or block unwanted traffic. - Security workflow automation: Integrate proxy checks into your security flows for smarter, faster decision-making about user and traffic legitimacy. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `IP2PROXY_CHECK_PROXY` | Check Proxy Status of an IP | Tool to check if an IP address is a proxy. Use after obtaining an IP to detect proxy, VPN, or Tor status. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Ip2proxy MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ip2proxy. It provides structured and secure access so your agent can perform Ip2proxy 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 and API key - A Ip2proxy connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Ip2proxy via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **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 Ip2proxy MCP URL ```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") ``` ### 5. Create a Composio Tool Router session for Ip2proxy **What's happening:** - You create a Ip2proxy only session through Composio - Composio returns an MCP HTTP URL that exposes Ip2proxy tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["ip2proxy"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **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. ```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, ) ``` ### 7. Create a CLI Chatloop and define the Crew **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. ```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") ``` ## Complete Code ```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=["ip2proxy"], ) 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 Ip2proxy through Composio's Tool Router. The agent can perform Ip2proxy 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 ## How to build Ip2proxy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2proxy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2proxy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2proxy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2proxy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2proxy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2proxy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2proxy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2proxy/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2proxy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2proxy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2proxy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2proxy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2proxy/framework/llama-index) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Ashby](https://composio.dev/toolkits/ashby) - Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics. - [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Ip2proxy MCP? With a standalone Ip2proxy MCP server, the agents and LLMs can only access a fixed set of Ip2proxy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ip2proxy and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? 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 Ip2proxy tools. ### Can I manage the permissions and scopes for Ip2proxy while using Tool Router? Yes, absolutely. You can configure which Ip2proxy 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 Ip2proxy data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)