IPLocate
MCP ServerFree** - Look up IP address geolocation, network information, detect proxies and VPNs, and find abuse contact details using IPLocate.io
Capabilities10 decomposed
ip address geolocation lookup with structured geographic data
Medium confidenceRetrieves geographic location data for a given IP address by calling the IPLocate.io API through the lookup_ip_address_location tool, returning structured fields including country, city, coordinates, timezone, and postal code. The MCP server translates client requests into authenticated HTTP calls to IPLocate.io's geolocation endpoint, parsing and returning JSON-structured responses that include latitude/longitude precision and timezone identifiers for location-aware applications.
Implements geolocation as a specialized MCP tool that abstracts IPLocate.io's API behind a standardized protocol interface, allowing AI agents and development tools to request location data without direct API management; uses stdio transport for seamless integration with Claude Desktop and other MCP clients
Provides geolocation through MCP protocol (enabling AI agent integration) rather than requiring direct REST API calls, reducing boilerplate and enabling context-aware AI reasoning about geographic data
vpn, proxy, and tor exit node detection
Medium confidenceDetects privacy-masking technologies by calling the lookup_ip_address_privacy tool, which queries IPLocate.io's security flags to identify whether an IP is associated with a VPN provider, proxy service, Tor exit node, or hosting provider. The server returns boolean flags and provider classifications that enable security systems to identify obfuscated traffic and enforce access policies based on connection type.
Exposes IPLocate.io's privacy detection as a dedicated MCP tool that returns structured boolean flags and provider classifications, enabling AI agents to make security decisions based on connection type without parsing unstructured responses
Provides privacy detection through MCP protocol with standardized output format, making it easier for AI agents to reason about and act on privacy signals compared to parsing raw REST API responses
autonomous system number (asn) and network infrastructure lookup
Medium confidenceRetrieves network infrastructure details by calling the lookup_ip_address_network tool, which returns ASN name, ASN number, network type, network range (CIDR), and ISP details from IPLocate.io. The server translates IP addresses into structured network metadata that identifies the autonomous system and network operator, enabling network analysis, peering investigations, and infrastructure-level security decisions.
Abstracts IPLocate.io's ASN and network data as a specialized MCP tool that returns structured network metadata (ASN number, name, CIDR range, ISP), enabling AI agents to perform network-level analysis without manual BGP lookup or WHOIS queries
Provides ASN and network data through MCP protocol with pre-parsed structured output, eliminating the need for separate WHOIS queries or BGP data integration compared to raw IP intelligence APIs
organization and company data extraction from ip addresses
Medium confidenceExtracts business and organizational information by calling the lookup_ip_address_company tool, which returns organization name, domain, and business classification for a given IP address. The server queries IPLocate.io's company database to identify which organization operates or is associated with an IP, enabling business intelligence and account-based security workflows.
Provides organization data as a dedicated MCP tool that maps IPs to company names and domains, enabling AI agents to perform business intelligence and account-based security decisions without separate company database lookups
Integrates company data directly into MCP protocol, allowing AI agents to correlate IP addresses with organizations in a single structured call versus requiring separate business intelligence APIs or manual lookups
abuse contact and incident reporting information retrieval
Medium confidenceRetrieves abuse reporting contacts by calling the lookup_ip_address_abuse_contacts tool, which returns email addresses and contact information for reporting security incidents, spam, or abuse associated with an IP address. The server queries IPLocate.io's abuse contact database to identify the appropriate network operator or ISP contact for incident response, enabling automated abuse reporting workflows.
Exposes IPLocate.io's abuse contact database as a dedicated MCP tool that returns structured contact information for incident reporting, enabling automated abuse escalation workflows without manual WHOIS lookups or contact research
Provides pre-identified abuse contacts through MCP protocol, eliminating manual WHOIS queries and contact research compared to raw IP intelligence APIs, enabling faster incident response automation
comprehensive ip address intelligence with full dataset lookup
Medium confidenceProvides complete IP address intelligence by calling the lookup_ip_address_details tool, which aggregates all available data categories (geolocation, network, privacy, company, abuse contacts) into a single comprehensive response. The server returns a unified JSON object containing all IP metadata from IPLocate.io, enabling single-call analysis for applications requiring multi-dimensional IP intelligence without sequential tool invocations.
Aggregates all IPLocate.io data categories (geolocation, network, privacy, company, abuse contacts) into a single MCP tool call, enabling comprehensive IP analysis without sequential tool invocations or response aggregation logic
Provides unified full-spectrum IP intelligence in a single MCP call, reducing latency and complexity compared to invoking multiple specialized tools or making separate REST API calls to different endpoints
mcp protocol-based tool registration and client communication
Medium confidenceImplements the Model Context Protocol (MCP) server using @modelcontextprotocol/sdk, registering six specialized IP lookup tools and four prompt templates with the McpServer instance. The server communicates with MCP clients (Claude Desktop, Cursor, VS Code) via stdio transport, translating client requests into tool invocations and returning structured responses through the MCP protocol, enabling seamless integration with AI development tools.
Implements a complete MCP server using @modelcontextprotocol/sdk with stdio transport, registering six specialized tools and four prompt templates that enable AI clients to invoke IP lookups through the MCP protocol without direct API management
Provides IP intelligence through MCP protocol (enabling AI agent integration and context-aware reasoning) rather than requiring direct REST API calls or custom integrations, reducing boilerplate and enabling seamless Claude Desktop/Cursor integration
pre-configured prompt templates for multi-tool ip analysis workflows
Medium confidenceProvides four pre-configured prompt templates that combine multiple IP lookup tools into higher-level analysis workflows, enabling AI agents to perform complex IP intelligence tasks without manual tool orchestration. The templates guide AI reasoning through structured prompts that invoke multiple tools in sequence, aggregate results, and produce actionable insights for specific use cases (e.g., security investigation, business intelligence).
Provides four pre-configured MCP prompt templates that orchestrate multiple IP lookup tools into cohesive analysis workflows, enabling AI agents to perform complex IP intelligence tasks without manual tool sequencing or result aggregation
Enables AI-guided IP analysis workflows through prompt templates that automatically invoke the right tools in sequence, versus requiring manual tool orchestration or custom agent logic in client applications
ipv4 and ipv6 address format validation and normalization
Medium confidenceValidates and normalizes IPv4 and IPv6 addresses before API calls through input validation logic in the MCP server, ensuring only well-formed IP addresses are sent to IPLocate.io. The server checks address format compliance (e.g., valid octets for IPv4, valid hex groups for IPv6) and returns structured error responses for invalid inputs, preventing malformed requests and API errors.
Implements input validation for IPv4 and IPv6 addresses at the MCP server level, rejecting malformed addresses before API calls and returning structured error responses, preventing invalid requests from reaching IPLocate.io
Provides server-side IP address validation through MCP protocol, ensuring data quality and preventing API errors compared to relying on client-side validation or handling API errors after invalid requests are sent
authenticated api communication with iplocate.io service
Medium confidenceManages authenticated HTTP communication with IPLocate.io's API through a fetchIPData() function that handles API key authentication, request construction, and response parsing. The server reads the IPLocate.io API key from the IPLOCATE_API_KEY environment variable, constructs authenticated requests with appropriate headers, and translates API responses into MCP-compatible JSON structures for client consumption.
Implements authenticated API communication through a fetchIPData() function that abstracts IPLocate.io authentication and request handling, enabling MCP clients to invoke IP lookups without managing API keys or constructing HTTP requests
Centralizes API authentication and request handling in the MCP server, eliminating the need for clients to manage API keys or construct API requests, improving security and reducing boilerplate compared to direct REST API integration
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with IPLocate, ranked by overlap. Discovered automatically through the match graph.
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Best For
- ✓Backend developers building location-aware services
- ✓Security teams implementing geo-fencing and regional access policies
- ✓Analytics platforms correlating user location with behavior
- ✓Security and fraud prevention teams
- ✓Content platforms enforcing geographic restrictions
- ✓Authentication systems implementing risk-based access controls
- ✓Network engineers and infrastructure teams
- ✓Security operations centers (SOCs) performing network-level threat analysis
Known Limitations
- ⚠Geolocation accuracy depends on IPLocate.io's underlying data sources; city-level accuracy typically 70-80% for residential IPs
- ⚠Requires active internet connection to IPLocate.io API; no local caching built into the MCP server
- ⚠Rate limiting applies per API key; high-volume lookups may require premium tier
- ⚠VPN/proxy detection is probabilistic; sophisticated or residential proxies may evade detection
- ⚠Tor exit node list is updated periodically but not in real-time; newly-added nodes may not be immediately detected
- ⚠False positives possible for legitimate corporate VPNs and CDN edge nodes
Requirements
Input / Output
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** - Look up IP address geolocation, network information, detect proxies and VPNs, and find abuse contact details using IPLocate.io
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