Kakao Local
The Kakao Local MCP provides tools for retrieving location information within South Korea through Kakao's mapping APIs. It enables AI assistants to find coordinates from addresses, search for places by keywords or categories, and fetch detailed information about specific locations including reviews and photos. Built with Python and using the FastMCP framework, this implementation handles authentication with Kakao's REST API, manages rate limiting, and provides structured responses with pagination support. It's particularly valuable for applications requiring geolocation services in South Korea, such as finding nearby businesses, planning routes, or analyzing location-based data.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/yunkee-lee/mcp-kakao-local
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Kakao Local 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.