mcpField
R
Requirements:

Requirements:

github.com/rairai77Other1Updated 84w ago

About Requirements:

MCP client integrating weather tools with local LLM via Ollama. Queries weatherapi.com data using custom models.

Key features

  1. 01weatherapi.com integration
  2. 02Ollama local LLM support
  3. 03Custom model configuration
  4. 04Environment variable setup

Use cases

  1. 01Local weather query applications
  2. 02Offline AI weather assistant development

Details

From the project README

Requirements:

  • uv for dependencies
  • weatherapi.com key

Setup:

  • copy .example.env to .env and add the weather api key
  • create a custom ollama model called llama3.1-tool:8b using the modelfile and llama3.1:8b as a base

Usage:

ollama serve
uv run main.py

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.