# How to integrate Ip2location MCP with CrewAI ```json { "title": "How to integrate Ip2location MCP with CrewAI", "toolkit": "Ip2location", "toolkit_slug": "ip2location", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/ip2location/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/ip2location/framework/crew-ai.md", "updated_at": "2026-05-12T10:16:10.653Z" } ``` ## Introduction This guide walks you through connecting Ip2location to CrewAI using the Composio tool router. By the end, you'll have a working Ip2location agent that can get geolocation for these ip addresses, check if this ip is using a vpn, find domains hosted on this ip through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Ip2location account through Composio's Ip2location MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Ip2location with - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2location/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2location/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2location/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2location/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2location/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2location/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2location/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2location/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2location/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2location/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2location/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2location/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2location/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Ip2location connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Ip2location - Build a conversational loop where your agent can execute Ip2location 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 Ip2location MCP server, and what's possible with it? The Ip2location MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ip2location account. It provides structured and secure access to advanced IP geolocation data, so your agent can perform actions like looking up IP locations, detecting proxies, running bulk lookups, and retrieving WHOIS information on your behalf. - Precise IP geolocation lookup: Instantly retrieve country, city, ISP, latitude, longitude, and more for any IPv4 or IPv6 address. - Bulk IP address processing: Run batch geolocation queries for up to 1000 IPs at once, making large-scale analysis quick and easy. - Proxy, VPN, and TOR detection: Determine whether an IP address is using anonymizing services to help with fraud prevention or security checks. - Domain and WHOIS data retrieval: Fetch WHOIS details for domains and list all hosted domains on a given IP to enrich investigations or audits. - Geographic distance calculation: Calculate the physical distance between two IP addresses to support analytics, compliance, or security use cases. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `IP2LOCATION_BULK_IP_GEOLOCATION` | Bulk IP Geolocation | Retrieve geolocation information for multiple IP addresses in a single request. Supports batch processing of 1-1000 IPv4 or IPv6 addresses with flexible output formats (JSON or CSV) and customizable field selection. Returns comprehensive data including country, region, city, coordinates, timezone, ASN, and proxy detection. Note: Automatically falls back to individual lookups if bulk endpoint is unavailable. | | `IP2LOCATION_CHECK_CREDITS` | Check IP2Location API Credits | Tool to check remaining IP2Location API credits. Use after setting up authentication to monitor usage. | | `IP2LOCATION_DISTANCE` | IP2Location Distance Calculator | Calculate the great-circle distance between two IP addresses based on their geographic locations. This tool looks up the geolocation (latitude/longitude) for each IP address and calculates the shortest distance between them over the Earth's surface using the Haversine formula. Supports both IPv4 and IPv6 addresses. Returns the distance in kilometers along with the coordinates of both IPs. Use when you need to determine geographic separation between two IP addresses, such as for latency estimation, geographic analysis, or network optimization. | | `IP2LOCATION_GET_HOSTED_DOMAINS` | IP2WHOIS Hosted Domains Lookup | Retrieves a list of domain names hosted on a specific IP address (IPv4 or IPv6). Use this tool when you need to: - Discover which domains are hosted on a particular IP - Investigate shared hosting environments - Analyze domain-to-IP relationships The API supports pagination for IPs with many hosted domains. | | `IP2LOCATION_GET_IP_GEOLOCATION` | IP2Location Get IP Geolocation | Tool to retrieve geolocation data for an IP address. Use when detailed IP location info is needed. | | `IP2LOCATION_GET_PROXY_DETECTION` | IP2Proxy: Get Proxy Detection | Tool to detect if an IP is a proxy, VPN, or TOR exit node. Use when verifying anonymizing services. | | `IP2LOCATION_IP2_WHOIS_DOMAIN_WHOIS` | IP2WHOIS Domain WHOIS Lookup | Tool to retrieve WHOIS information for a domain. Use when you need domain registration details. | | `IP2LOCATION_LIST_IPS` | IP2Location List IPs | Tool to list a curated set of test IPv4 and IPv6 addresses. Use when sample IPs are needed for IP2Location or IP2Proxy lookups during development or testing. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Ip2location MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ip2location. It provides structured and secure access so your agent can perform Ip2location 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 Ip2location 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 Ip2location 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 Ip2location 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 Ip2location **What's happening:** - You create a Ip2location only session through Composio - Composio returns an MCP HTTP URL that exposes Ip2location tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["ip2location"]) 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=["ip2location"], ) 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 Ip2location through Composio's Tool Router. The agent can perform Ip2location 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 Ip2location MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2location/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2location/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2location/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2location/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2location/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2location/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2location/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2location/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2location/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2location/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2location/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2location/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2location/framework/llama-index) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements. - [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints. - [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots. - [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches. - [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. 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Get unified, reliable access to complex on-chain data for analytics, trading, and research. - [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction. - [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. - [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Ip2location MCP? With a standalone Ip2location MCP server, the agents and LLMs can only access a fixed set of Ip2location tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ip2location 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 Ip2location tools. ### Can I manage the permissions and scopes for Ip2location while using Tool Router? Yes, absolutely. You can configure which Ip2location 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 Ip2location data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)