Xiaozhi Location
This MCP server provides device location services by integrating with the xiaozhi-app Android device framework, enabling AI assistants to retrieve real-time location data from mobile devices using GPS, network, or fused location providers. Built with Python using FastMCP and designed for the xiaozhi ecosystem, it offers a simple tool for getting current device coordinates including latitude, longitude, altitude, and accuracy measurements. The implementation supports multiple location provider options for different accuracy and power consumption requirements, making it valuable for location-aware applications that need to access device positioning data for navigation, geofencing, or location-based services within the xiaozhi platform.
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
- maps-location
- Source
- PulseMCP
- Repository
- github.com/ailearncoder/xiaozhi-location-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Xiaozhi Location 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.