Location-Intelligence

MeetJariwala10/Location-Intelligence

3.1

If you are the rightful owner of Location-Intelligence and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

This project integrates Model Context Protocol (MCP) with LangChain and Streamlit to provide conversational AI for geospatial analysis.

Tools

Functions exposed to the LLM to take actions

web search

Performs web searches using SerpAPI.

geocoding

Converts addresses into geographic coordinates.

air quality

Provides air quality data for a given location.

weather

Fetches weather information for a specified area.

places search/nearby

Finds nearby places of interest.

distance matrix

Calculates distances between multiple locations.

geolocation

Determines the geographic location of a device.

area insights

Provides insights about a specific area.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources