Geo
This MCP geocoding server, developed by webcoderz, provides a flexible interface for location-based operations using various geocoding services. Built with Python and leveraging the geopy library, it offers tools for forward and reverse geocoding, with support for Nominatim, ArcGIS, and Bing providers. The server implements rate limiting and error handling to optimize API usage across multiple geocoding requests. Key features include single and batch geocoding operations, detailed address information retrieval, and configurable provider selection. By abstracting the complexities of geocoding APIs, it enables AI systems to easily perform location-based tasks. This implementation is particularly valuable for applications requiring flexible geocoding capabilities, facilitating use cases such as address validation, location-based analytics, and mapping services.
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
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/webcoderz/mcp-geo
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Geo 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--scope user for --scope project to commit it to .mcp.json.