About
Provides instant IP address location data (city, district, street), whois, AS mapping, risk portrait, and more via the Aiwen GeoIP API. Ideal for security, access control, analytics, and network insights.
Capabilities
Overview of the Aiwen IP Location MCP Server
The Aiwen IP Location MCP Server bridges the gap between AI assistants and high‑precision, real‑time IP geolocation services. It exposes a rich set of tools that let Claude or other MCP‑compatible assistants retrieve detailed information about any IPv4 or IPv6 address, from basic latitude/longitude coordinates to nuanced risk scores and ownership data. By integrating this server into an MCP host, developers can embed instant location intelligence directly into conversational flows, analytics pipelines, or security controls without leaving the AI environment.
Solving a Common Bottleneck
Many applications—ranging from content personalization to threat detection—require accurate IP context. Traditional approaches rely on external HTTP requests or manual API integrations, which can be cumbersome and slow in conversational AI settings. The MCP server solves this by offering a lightweight, event‑driven interface that returns structured JSON payloads with minimal latency. Developers can now ask an assistant, “Where is 8.8.8.8?” and receive a full profile that includes continent, country, ISP, AS number, and even risk tags—all in one call.
What the Server Provides
- Geolocation (, ) with configurable precision (city, district, street) and support for both IPv4 and IPv6.
- Network context (, ) to identify whether an address belongs to a data center, CDN, home broadband, or mobile network.
- Registration details (, ) that expose netname, status, ASN, and industry classification.
- Risk assessment () which flags VPNs, proxies, Tor nodes, port scans, and assigns a risk score.
- Human‑vs‑bot detection () that estimates the likelihood a visitor is a real person.
- Industry classification () to understand the business sector associated with an IPv4 address.
Each tool outputs a consistent, machine‑readable schema—making it straightforward to chain results or embed them in downstream prompts.
Real‑World Use Cases
- Access control: Verify that a user’s IP matches the expected geographic region before granting access to sensitive data.
- Fraud detection: Combine risk portraits and identity checks with transaction context to flag suspicious activity.
- Personalization: Deliver localized content, pricing, or language settings based on precise city or street data.
- Analytics & research: Aggregate IP scene and industry information to study traffic patterns or market penetration.
- Compliance: Ensure data residency by confirming that requests originate from approved jurisdictions.
Seamless Integration with AI Workflows
Once the server is registered in an MCP host, any assistant can invoke its tools via simple tool calls. The response format is already JSON‑compatible, so prompts can immediately consume the data or pass it to downstream services. Because environment variables control API keys and precision, developers can tailor the server’s behavior per deployment without code changes. The modular design also allows selective exposure of only the tools needed for a given application, keeping prompts lean and responses focused.
Distinct Advantages
- Zero‑code AI integration: No custom SDKs or wrapper libraries are required—just declare the server in your MCP host configuration.
- Fine‑grained control: Precision levels (city, district, street) are adjustable per environment, enabling cost‑effective usage of tiered API plans.
- Comprehensive data: From whois to risk scoring, the server consolidates multiple external services into a single, consistent interface.
- Scalable: Built on the MCP protocol, it can be deployed in distributed setups or within local development environments with minimal overhead.
In summary, the Aiwen IP Location MCP Server equips AI assistants with instant, detailed IP intelligence, empowering developers to create smarter, safer, and more localized experiences without the friction of traditional API integration.
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