pulsemcp verified Safe content atomic mcp-remote

IP Geolocation

This MCP server, developed by Brian Connelly, provides IP geolocation services using the ipinfo.io API. Built with Python and leveraging the Model Context Protocol, it offers detailed location and network information for any IP address. The implementation focuses on delivering clean, formatted output for AI agents like Claude, including data such as city, region, country, coordinates, timezone, and organization. It requires an ipinfo.io API token for authentication. The server is particularly useful for applications requiring location-based insights, enabling use cases such as user location verification, content localization, and network analysis without complex API integrations.

Cognium trust score
75%
Tier
Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
ai-ml
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
View source Find related skills

Use via MCP

MCP

Resolve IP Geolocation from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

Search SkillsRegistry