Osm MCP Puca
O

Osm MCP Puca

An MCP server that provides OpenStreetMap-related tools for LLM chatbots
2 points
7.5K

What is osm-mcp-puca?

osm-mcp-puca is a Model Context Protocol (MCP) server specifically designed for LLM (Large Language Model) chatbots, providing various tool functions related to OpenStreetMap (OSM) map services. It allows chatbots to access and manipulate OSM data through a standard interface.

How to use osm-mcp-puca?

Connect to the MCP server through Python code, and then you can query the list of available tools or perform specific operations. You need to start the server connection first and then operate through the Agent object.

Applicable scenarios

Suitable for chatbot applications that need to integrate OpenStreetMap functions, such as map queries, location marking, navigation services and other scenarios related to geographic information.

Main features

OpenStreetMap tool integration
Provides various tools for interacting with OpenStreetMap, supporting map data query and editing
LLM chatbot compatibility
An interface specifically designed for large language models, facilitating integration and use by chatbots
SSE protocol support
Uses the Server-Sent Events (SSE) protocol for real-time communication
Advantages
Simplifies the integration of LLM and OpenStreetMap
Provides a standardized tool interface
Supports real-time communication
Limitations
Requires a Python environment
Currently only supports functions related to OpenStreetMap
Requires an internet connection

How to use

Install dependencies
Ensure that Python and the necessary library (pydantic_ai) are installed
Create an MCP server connection
Initialize the MCPServerHTTP object and specify the server URL
Create an Agent
Initialize the Agent with an LLM model and an MCP server
Run the server
Start the server connection using an asynchronous context manager
Use tools
Query available tools or perform specific operations

Usage examples

Query available tools
Get a list of all tools provided by the server
Perform a simple calculation
Test the basic functions of the server

Frequently Asked Questions

What Python version is required?
How to modify the server address?
Which LLM models are supported?

Related resources

OpenStreetMap official website
Official website of the open-source map project
pydantic-ai documentation
Official documentation of the pydantic_ai library
MCP protocol description
Technical specification of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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