{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-ip2location-io","slug":"ip2location-io","name":"IP2Location.io","type":"mcp","url":"https://github.com/ip2location/mcp-ip2location-io","page_url":"https://unfragile.ai/ip2location-io","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-ip2location-io__cap_0","uri":"capability://tool.use.integration.ip.address.geolocation.lookup.via.mcp.protocol","name":"ip address geolocation lookup via mcp protocol","description":"Retrieves comprehensive geolocation data for a given IP address by integrating with the IP2Location.io REST API through the Model Context Protocol (MCP) server interface. The MCP server acts as a standardized bridge, exposing IP2Location.io's geolocation endpoints as callable tools that Claude and other MCP-compatible clients can invoke. Requests are translated from MCP tool calls into HTTP requests to IP2Location.io's backend, with responses parsed and returned as structured JSON containing latitude, longitude, country, city, and other location metadata.","intents":["I need to look up the geographic location of an IP address in my AI agent workflow","I want to integrate IP geolocation data into Claude conversations without writing custom API code","I need to enrich user connection data with location information for security or analytics purposes","I want to call IP2Location.io from an MCP-compatible client without managing authentication directly"],"best_for":["AI agents and Claude instances that need real-time IP geolocation enrichment","Teams building security or fraud detection workflows with MCP-compatible tools","Developers integrating geolocation into multi-step AI reasoning chains"],"limitations":["Requires valid IP2Location.io API key; free tier has rate limits and limited data fields","Network latency depends on IP2Location.io backend availability; no local caching mechanism built-in","Only supports IPv4 and IPv6 address formats; invalid IPs return API errors without client-side validation","No built-in retry logic or circuit breaker for failed API calls","Geolocation accuracy varies by IP type (datacenter, VPN, residential); no confidence scores returned"],"requires":["IP2Location.io API key (free or paid tier)","MCP-compatible client (Claude via Claude Desktop, or other MCP servers)","Network connectivity to IP2Location.io API endpoints","Valid IPv4 or IPv6 address as input"],"input_types":["text (IPv4 address, e.g., '8.8.8.8')","text (IPv6 address, e.g., '2001:4860:4860::8888')"],"output_types":["structured JSON (geolocation object with country, city, latitude, longitude, timezone, ISP, etc.)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ip2location-io__cap_1","uri":"capability://data.processing.analysis.structured.geolocation.data.extraction.and.formatting","name":"structured geolocation data extraction and formatting","description":"Parses IP2Location.io API responses and extracts specific geolocation fields (country code, city name, latitude, longitude, timezone, ISP, usage type) into a normalized, structured JSON format that MCP clients can reliably consume. The server maps raw API response fields to a consistent schema, handling optional fields gracefully and ensuring type consistency across responses. This abstraction shields clients from IP2Location.io's response schema changes and allows selective field exposure based on API tier.","intents":["I need consistent, predictable geolocation data structure across multiple IP lookups","I want to extract only specific fields (e.g., country, city) without processing unnecessary data","I need to handle missing fields gracefully when using a free API tier with limited data","I want to normalize geolocation responses for downstream analytics or database storage"],"best_for":["Developers building data pipelines that consume geolocation data from multiple sources","Teams standardizing geolocation schemas across different IP lookup providers","AI agents that need consistent field names and types for reliable prompt engineering"],"limitations":["Schema is fixed to IP2Location.io's available fields; custom field mappings not supported","Optional fields may be null or missing depending on API tier; no fallback to secondary sources","No data validation or sanitization of returned values (e.g., malformed coordinates)","Timezone data is returned as string; no conversion to other timezone formats"],"requires":["IP2Location.io API response (valid JSON from successful lookup)","MCP server running and connected to IP2Location.io backend"],"input_types":["structured JSON (IP2Location.io API response)"],"output_types":["structured JSON (normalized geolocation object with country, city, latitude, longitude, timezone, ISP, usage_type)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ip2location-io__cap_2","uri":"capability://safety.moderation.api.authentication.and.credential.management.via.mcp.context","name":"api authentication and credential management via mcp context","description":"Manages IP2Location.io API key authentication by storing and injecting credentials into outbound HTTP requests without exposing keys to MCP clients. The MCP server reads the API key from environment variables or secure configuration at startup, then uses it to authenticate all requests to IP2Location.io's endpoints. This pattern ensures credentials are never transmitted through MCP messages and remain isolated to the server process.","intents":["I want to use IP2Location.io in Claude without managing API keys in my prompts","I need to rotate or update API credentials without redeploying client code","I want to ensure API keys are not logged or exposed in MCP message traces","I need to support multiple API keys or tier-based access control"],"best_for":["Teams deploying MCP servers in shared or multi-tenant environments","Security-conscious developers who want to isolate API credentials from client code","Organizations with credential rotation policies or compliance requirements"],"limitations":["API key must be set as environment variable; no runtime key injection or hot-reload mechanism","No built-in support for multiple API keys or key rotation without server restart","Credentials are stored in server process memory; no encryption at rest","No audit logging of API key usage or failed authentication attempts","If MCP server is compromised, API key is exposed; no additional security layers (e.g., mTLS, API gateway)"],"requires":["IP2Location.io API key (set as environment variable, e.g., IP2LOCATION_API_KEY)","MCP server process with read access to environment variables"],"input_types":["environment variable (string API key)"],"output_types":["HTTP Authorization header (Bearer token or query parameter)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ip2location-io__cap_3","uri":"capability://tool.use.integration.mcp.tool.registration.and.schema.definition","name":"mcp tool registration and schema definition","description":"Registers IP geolocation lookup as a callable MCP tool by defining a JSON schema that describes the tool's input parameters (IP address), output structure, and metadata. The MCP server exposes this schema to compatible clients (Claude, other MCP servers), enabling them to discover the tool and invoke it with proper parameter validation. The schema includes descriptions, type constraints, and examples that guide client behavior and enable reliable tool composition in multi-step workflows.","intents":["I want Claude to automatically discover and use IP geolocation as a tool in conversations","I need to define clear input/output contracts for the IP lookup tool so clients can validate calls","I want to enable tool composition where IP geolocation output feeds into downstream tools","I need to provide usage examples and parameter descriptions so clients understand the tool's capabilities"],"best_for":["MCP client developers building tool discovery and invocation systems","Teams standardizing tool schemas across multiple MCP servers","AI agents that need to reason about tool capabilities before invocation"],"limitations":["Schema is static; no dynamic schema generation based on API tier or available fields","No schema versioning mechanism; breaking changes require server restart","Schema validation is client-side responsibility; server does not enforce strict validation","No support for conditional parameters or complex validation rules (e.g., IP format validation)"],"requires":["MCP protocol support (version 1.0 or compatible)","MCP client capable of parsing and invoking tools from schema definitions"],"input_types":["JSON schema (tool definition with parameters, description, examples)"],"output_types":["MCP tool registration (exposed to clients via MCP protocol)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ip2location-io__cap_4","uri":"capability://data.processing.analysis.real.time.ip.geolocation.enrichment.for.security.and.analytics.workflows","name":"real-time ip geolocation enrichment for security and analytics workflows","description":"Enables on-demand geolocation enrichment of IP addresses within AI agent workflows, allowing agents to make location-aware decisions in real-time. The MCP server integrates with IP2Location.io to fetch current geolocation data for any IP address, which agents can use for security checks (e.g., detecting suspicious geographic patterns), analytics (e.g., user location distribution), or personalization (e.g., serving location-specific content). The capability supports chaining geolocation lookups with other tools and reasoning steps.","intents":["I want my AI agent to detect suspicious login attempts from unexpected geographic locations","I need to enrich user analytics with real-time geolocation data without manual API calls","I want to implement location-based access control in my agent's decision logic","I need to correlate multiple IP addresses with their geographic locations for fraud detection"],"best_for":["Security teams building AI-powered threat detection and anomaly detection systems","Analytics platforms that need real-time geolocation enrichment for user data","Fraud detection systems that correlate IP locations with transaction patterns","AI agents that need location context for personalization or access control decisions"],"limitations":["Geolocation accuracy varies by IP type (datacenter, VPN, residential); no confidence scores provided","Real-time lookups add latency (~200-500ms per request); not suitable for sub-100ms response requirements","Rate limits on IP2Location.io API may throttle high-volume enrichment workflows","VPN and proxy IPs may return inaccurate or generic locations; no detection of VPN usage","No historical geolocation data; only current location information available"],"requires":["IP2Location.io API key with sufficient rate limit quota","Network connectivity to IP2Location.io backend","MCP client capable of chaining tool calls (e.g., Claude with tool use enabled)"],"input_types":["text (IPv4 or IPv6 address)"],"output_types":["structured JSON (geolocation object with country, city, latitude, longitude, timezone, ISP, usage_type)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":25,"verified":false,"data_access_risk":"high","permissions":["IP2Location.io API key (free or paid tier)","MCP-compatible client (Claude via Claude Desktop, or other MCP servers)","Network connectivity to IP2Location.io API endpoints","Valid IPv4 or IPv6 address as input","IP2Location.io API response (valid JSON from successful lookup)","MCP server running and connected to IP2Location.io backend","IP2Location.io API key (set as environment variable, e.g., IP2LOCATION_API_KEY)","MCP server process with read access to environment variables","MCP protocol support (version 1.0 or compatible)","MCP client capable of parsing and invoking tools from schema definitions"],"failure_modes":["Requires valid IP2Location.io API key; free tier has rate limits and limited data fields","Network latency depends on IP2Location.io backend availability; no local caching mechanism built-in","Only supports IPv4 and IPv6 address formats; invalid IPs return API errors without client-side validation","No built-in retry logic or circuit breaker for failed API calls","Geolocation accuracy varies by IP type (datacenter, VPN, residential); no confidence scores returned","Schema is fixed to IP2Location.io's available fields; custom field mappings not supported","Optional fields may be null or missing depending on API tier; no fallback to secondary sources","No data validation or sanitization of returned values (e.g., malformed coordinates)","Timezone data is returned as string; no conversion to other timezone formats","API key must be set as environment variable; no runtime key injection or hot-reload mechanism","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ip2location-io","compare_url":"https://unfragile.ai/compare?artifact=ip2location-io"}},"signature":"rFvCYHQyazRmnWFqXgkIaG5YvEfaMitodM/g+8zLYT3oy+ahwH7Q4ngL/p5QbeH6e0YF5L2LkPT0wovZGjPzDg==","signedAt":"2026-06-22T18:26:05.357Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ip2location-io","artifact":"https://unfragile.ai/ip2location-io","verify":"https://unfragile.ai/api/v1/verify?slug=ip2location-io","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}